Are you looking for Best Data Science Degree Online? Grab The Best Data Science Certification, Training, and Tutorial 2024. This Online Data Science Course list will help you to become a top Data Scientist. Data science or data-driven science is one of today’s fastest-growing fields.
Do you want to become a Data Scientist? The list of the Data Science Degrees will give you a clear idea from data science definition to expert levels.
If you don’t know how to get a data scientist certification then this data science certificate program online will help you to get an online data science certificate.
You will be able to get Microsoft data science certification or even a Harvard data science certificate with this excellent collection of online courses.
Also, this Data Science training will give you an idea about data science, python, data scientist, big data, analytics, machine learning, deep learning, and Artificial Intelligence (AI) which are the most booming topics now. You can be a data science master in a short period.
All big companies, publishers, advertisers, and other industries are now highly dependent on data science or machine learning.
So, it is high time to learn some skills in data science, for example, get the highly demanded Data Science online certifications.
How does it work at present, and why data scientists’ careers and data science jobs are in top positions? If you like a trendy career, you have that opportunity right now and get hired by the big industries.
According to the Harvard Business Review, Data Scientists – “The Sexiest Job of the 21st Century”
At the same time, online entrepreneurs and business personnel also need to update themselves with fundamental machine learning skills to compete with the fast-moving industry.
Below are a few best Data Science online courses that might assist you to jump-start your knowledge of the data science sector.
45 Best Data Science Certification, Course, Degree, Tutorial, and Training for Data Scientists
1. Data Science Bootcamp: Data Science A-Z™: Real-Life Data Science Exercises Included (Udemy)
Students Enrolled: 216.97k+
Instructors: Kirill Eremenko, Ligency | Team, Ligency Team A
Rating: 4.6 out of 5.0
2. Introduction to Data Science (Udmey)
Students Enrolled: 4.58k+
Instructors: Nina Jumel, John Mount
Rating: 3.4 out of 5.0
3. Machine Learning A-Z™: Hands-On Python & R In Data Science(Udemy)
BESTSELLING
If you want to learn machine learning, then this is the perfect course for you.
Two professional data scientists designed this course so that you can learn the theory and algorithms behind machine learning.
If you just learn the coding libraries, then you will not know what is going on in the back end.
You will not be able to perform well in the industries. This is why this is a very good course to get started in the machine learning world.
The course also includes study materials about coding libraries. The two data scientist professionals walk you through the course step by step.
Even if you are quite familiar with data science, this is going to help you learn a lot more new things. The course has been structured in a very friendly way.
This is not all. the course is full of practical exercises based on real-life examples.
You are not only going to learn the theory. But you are also going to build up some hands-on experience in building your models.
Python and R coding templates have been included in the course. You can easily download its templates to use them on your projects for free. Yes, this project comes with this bonus.
Course Instructor: Kirill Eremenko, Hadelin de Ponteves, Ligency | Team, Ligency Team
Students Enrolled: 1,030.48k+
Ratings: 4.5 out of 5.0
Or Read Review of Machine Learning A-Z™: Hands-On Python & R In Data Science
4. R Programming A-Z™: R For Data Science With Real Exercises! (Udemy)
BESTSELLING
In this online course, you will learn how to program in R in R Studio. All the basic concepts of programming in almost every language are the same.
So if you learn this course R you will also be able to learn other programming languages very fast.
Learning R can take a bit of time. Sometimes some people find it overwhelming. But this course is not like the others.
This best data science certification will take you through the concepts step by step. You will learn all the basic concepts like character, logic, double, while loop, for loop, and a lot more.
Do you still not believe that you will learn useful stuff from this course?
once you watch a video or you will know how useful the course is. Because after every video you learn a concept.
The instructor teaches you in such a way that you will be able to implement that very concept in real life.
Learning R will also help you to get started with machine learning.
It is one of the primary languages used for data science. So if you want to get started in the artificial intelligence industry you best know R.
Course Instructor: Kirill Eremenko, Ligency | Team, Ligency Team
Students Enrolled: 265.83k+
Ratings: 4.6 out of 5.0
5. Deep Learning A-Z™: Hands-On Artificial Neural Networks (Udemy)
BESTSELLING
Just as the name of the course suggests you are going to learn deep learning through hands-on experience. Data science experts teach you how to use neural networks for deep learning.
If you are learning from professionals and experts then there is a high chance that you just might end up being like them within a short time.
However, before you take this course it is suggested that you know the very basics of Python programming and basic High School mathematics.
The course has been divided into two main parts. One part is for supervised deep learning and the other is for unsupervised deep learning.
It was done so that each part of the course focuses mainly on a very fundamental part of artificial intelligence or deep learning.
You are going to do exciting and fun projects.
The data sets that are going to be used are well-updated and also interesting. Because you will use the datasets which were created in real life.
Now let’s have you a sneak peek at what you are going to do in this course. You are going to predict stock prices, investigate fraud, recommended systems, etc. The 1 million dollar price challenge from Netflix will also be introduced.
The hands-on coding experience will make you feel like this course was made just for you. You will be able to implement what you learn in your business. This course is just that practical.
Course Instructor: Kirill Eremenko, Hadelin de Ponteves, Ligency | Team, Ligency Team
Students Enrolled: 374.58k+
Ratings: 4.5 out of 5.0
Or Read the Full Review of Deep Learning A-Z™ Hands-On Artificial Neural Networks
6. Data Science Certification Course using RD(Edureka)
By 2024 the job market for data science and analytics job will increase by about 364,000.
Data scientists can earn up to 120,000 USD as their basic salary.
Businesses that are going to analyze data will enjoy productivity what about $430 billion.
This course will help you to become familiar with machine learning algorithms.
DS algorithms are K- means Clustering, random forest, decision trees, and also Naive Bayes using an R programming language.
Data science requires you to understand text mining, time series, and statistics.
You will be taught all of these concepts and you are also going to get an introduction to topics like deep learning.
Throughout this online data science course, you are going to implement all of the theories that you learn for solving real-life problems.
These problems are in social media, aviation, media, and also health care.
Course Provider: Edureka
Students Enrolled: 40.33k+
Rating: 5.0 out of 5.0
7. Tableau 10 A-Z: Hands-On Tableau Training For Data Science! (Udemy)
BESTSELLING
You will learn how to use Tableau 10 for data visualization. If you know how to visualize data then you will be able to make data-driven decisions.
Because if you visualize data then you will be able to understand your customers’ purchase behavior or sales trends. And this is just the tip of the iceberg.
This course will teach you all the features that you need to know about Tableau. you will know how to experiment fix or repair data so that you can present it quickly and gorgeously.
Using Tableau you can represent data in various formats. It makes things easier in organizations because of the simplicity that comes with visualizing data in various formats.
This course is for beginners and also for advanced users. You will feel completely at ease even if you have never used this Tableau software before.
The instructor Ivan covers all the latest features that comes with Tableau 10. You are going to learn how to create even table calculations, storylines, treemap charts, etc.
After completing this course you are going to get a certificate. That is not all you will also become an expert at using Tableau.
And being an expert at using the software also means that you will become good at taking data-driven decisions.
Course Instructor: Kirill Eremenko, Ligency | Team, Ligency Team
Students Enrolled: 375.56k+
Ratings: 4.6 out of 5.0
8. Statistics for Business Analytics A-Z™
If you have the intention of becoming a data engineer or data analyst for business analyst then you need to first understand statistics.
You might have already learned all of these in High School. But then again after growing up, it is very easy to forget statistics because of not going through them.
This is why this course was created. the course goes through very practical examples of these Real-world challenges and how to overcome them using statistics.
After enrolling in this course you will have the key to learn and everything about statistics that you must know before you start your career as a data scientist.
You will get are a strong grasp of topics like
- Normal distribution
- Standard derivations
- Continuous and discrete variables
- Sampling distribution
- Central limit theorem
Learning statistics will make things easier for you in the long run in your career as a business analyst or as a data engineer. Because if you do not know statistics then your life will be very difficult in this industry.
Course Instructor: Kirill Eremenko, Ligency | Team, Ligency Team
Students Enrolled: 64.04k+
Ratings: 4.4 out of 5.0
9. Data Science Course: Deep Learning Prerequisites – Logistic Regression in Python
BESTSELLING
This data science certification will give you a good introduction to Deep learning and neural networks. It covers the fundamental knowledge that you need to have as a starter.
The course instructors teach the theories from scratch. You will learn the derivation of their solution and also how to apply them in the real world.
The instructors are also going to teach you how to model these algorithms using the code of Python programming language.
Throughout the whole course, you will be doing the projects which are given by the instructors.
All the codes that were used in this course are completely free and can be downloaded from GitHub.
Taking this course will not only help you to get started in your career as a data scientist but also make you a better programmer.
Because you will be programming using codes to create programs that can detect user behavior on a website. You will also do projects that use image recognition to predict people’s emotions.
If you want to get the most out of this course it is suggested that you know calculus, Linear Algebra, and statistics. It would also be best for you if you know the very basic concepts of the Python programming language.
Data analysts who use Python daily are perfect students for this course.
And if you are an entrepreneur who is thinking of making data-driven decisions or wants to create a truly disruptive solution to a problem then gives course is just for you.
This online course has a certificate program. After you are done with this course you will get a certificate.
This graduate certificate signifies that you have taken a course and are eligible for implementation.
Course Instructor: Lazy Programmer Inc.
Students Enrolled: 31.42K+
Ratings: 4.8 out of 5.0
10. Microsoft Data Science Certification: Power BI A-Z – Hands-On Power BI Training For Data Science!
BESTSELLING
This online course will teach you to have to visualize data through Microsoft Power BI.
These data visualizations allow you to make key decisions for your company using the data from your customer purchase behavior or sales trends.
You are also going to learn to experiment with the data.
And the shortcuts of the software are going to be clear to you. As a result, you will be able to work faster using Microsoft Power BI.
The data science certification starts with the basics so that anyone can understand the study material.
So even if you are a beginner and have never used Microsoft Power BI it will be easy for you.
You are going to learn how to join many data sources into one. because combining various sources of information helps you to take a good data-driven decision.
After completing this course you will be an expert in Power BI. Combining your skills as a data scientist to get knowledge from the data will help you to visualize even complex data with ease.
Even if you know how to use Microsoft Power BI you still should check out this course. Because the instructors take the students from beginner level to very advanced.
Students Enrolled: 110.12K+
Instructor: Kirill Eremenko, Ligency | Team, Ligency Team
Ratings: 4.4 out of 5.0
11. Data Science Training & Best Data Science Certificate Programs: Specialization in Data Science(Coursera)
This is a comprehensive data science certification and specialization course from Coursera. The respected professors from John Hopkins University will teach you in this specialization.
The specialization course makes sure that you understand all the concepts and how to use the tools in the whole data science industry.
If you want to find out the best answers to the problems then you need to ask the right questions. the processes of this force make sure that you understand the problem after asking the right questions about the data.
You are also going to do a capstone project. This capstone project requires you to understand each and everything that you have learned in this course.
It is a bit important for you to understand the basics of python if you want to take this course. However, do not explain that you do not understand Python at all.
Cause you do not necessarily must know Python to take this course. But if you know Python it will just make this course a lot easier.
You are going to use R to visualize data after cleaning and analyzing it. You will also use GitHub to manage your data science projects.
This will help you in the long run because as you progress in your career you are going to be doing a lot of projects in data science for personal branding.
Institution: Johns Hopkins University
Students Enrolled: 485.42k+
Instructors: Brian Caffo, Jeff Leek, Roger D. Peng
Data Science online tutorial included in Specialization:
- The Data Scientist’s Toolbox
- R Programming
- Getting and Cleaning Data
- Exploratory Data Analysis
- Reproducible Research
- Statistical Inference
- Regression Models
- Practical Machine Learning
- Developing Data Products
- Data Science Capstone
After doing all of these 10 courses in the specialization you are going to become an expert in data science. You will also get a certificate from the world-renowned John Hopkins University.
It will boost your social media for professionalism like LinkedIn or beBee. This is going to help you to get hired by large corporations. Are also going to be able to collaborate with the top University professors.
12. The Data Scientist’s Toolbox(Coursera)
36% of people who have taken this course were able to start a new career path after they completed it.
32% of industry professionals got tangible career benefits by completing this course.
This course will give you an introduction to the main concepts of the data scientist toolbox.
You are going to get an overview of the tools that the data scientists and data engineers work with.
There are two main parts of this course. The first part is going to introduce you to the ideas that will help you to turn data into insights.
And the second part of this course will introduce you to the tools which are to be used in version control, git, markdown, R Studio, and R.
Institution: Johns Hopkins University
Students Enrolled: 485.42k+
Instructors: from Biostatistics, Bloomberg School of Public Health
- Jeff Leek, Ph.D., Associate Professor
- Roger D. Peng, Ph.D., Associate Professor
- Brian Caffo, Ph.D., Professor
Rating: 4.5 out of 5.0
13. R Programming: Data Science Certification(Coursera)
28% of the enrolled candidates started a new career after they were done with the class.
11% of the candidates who took this course got a promotion or were able to increase their salary.
28% of the students who enrolled were able to create a transition in their careers.
This online data science certification will teach you how to program using R.
Because it can be used for data analysis very effectively. The data scientist community is heavily relying on this programming language.
You are also going to learn the practical issues in statistical computing. It includes things like reading data into R, accessing the R packages, writing functions in R, programming in R, and many more.
Throughout the course, you are going to go through statistical data analysis using real-life examples.
You should take this course if you want to learn R programming. And it is free to join because of the one-week free trial.
Institution: Johns Hopkins University
Students Enrolled: 485.42k+
Instructors: from Biostatistics, Bloomberg School of Public Health
- Jeff Leek, Ph.D., Associate Professor
- Roger D. Peng, Ph.D., Associate Professor
- Brian Caffo, Ph.D., Professor
Rating: 4.5 out of 5.0
14. Getting and Cleaning Data(Coursera)
40% of the students were able to start a new career after taking this course.
34% of the enrolled students got tangible career benefits from the online class.
Before working with data you need to collect it. You are going to learn the basic process of collecting data from the internet, APIs, databases, and various other sources in various formats.
The instructor will also teach you how to clean your data. Because if you have a messed-up data set you are most likely to make wrong predictions using your data.
You are also going to learn about the components of data sets like processing instructions, raw data, processed data, and codebooks.
All in all, you are going to understand all the basics that you need to know for collecting, cleaning, and sharing data.
Institution: Johns Hopkins University
Students Enrolled: 485.42k+
Instructors: from Biostatistics, Bloomberg School of Public Health
- Jeff Leek, Ph.D., Associate Professor
- Roger D. Peng, Ph.D., Associate Professor
- Brian Caffo, Ph.D., Professor
Rating: 4.5 out of 5.0
15. Exploratory Data Analysis(Coursera)
37% of the students started a new career after doing this course.
43% of students got tangible career benefits by completing this course.
18% of students were able to increase their salary or get a promotion by doing this course.
In this course, you will learn all the exploratory techniques that are used for summarizing data.
The exploratory techniques are important to eliminate sharpening potential hypothesis which is addressed by the data.
You are also going to learn about plotting systems in R. There are also a few basic principles that are used for constructing data graphics. You are going to learn that too.
You will also learn some of the statistical techniques that are used for visualizing high-dimensional data.
Institution: Johns Hopkins University
Students Enrolled: 176.78k+
Instructors: from Biostatistics, Bloomberg School of Public Health
- Jeff Leek, Ph.D., Associate Professor
- Roger D. Peng, Ph.D., Associate Professor
- Brian Caffo, Ph.D., Professor
Rating: 4.7 out of 5.0
16. Data Science Certification: Reproducible Research(Coursera)
35% of the enrolled students were able to start a new career after doing these courses.
31% of the students got tangible career benefits by doing this course.
This big data analytics course focuses on the major concepts and tools which are used for data analysis.
Reproducible Research is a basic idea that data analysis and scientific claims which are published with the data and software code show that others can verify your findings.
It is becoming a necessity because of the increasing complexity of data analysis.
Reproducible research is useful because the data and also the code which were used to carry out the analysis are available.
Instructors of this course will forecast to teach literate statistical analysis tools. So you will be able to publish data analyses in a single document.
And the others will be able to obtain a document and execute it to get the same results as you did.
As you can probably guess, this big data management course is not for beginners.
It is suggested that you do the previously listed certification courses before doing this course.
43% of students got tangible career benefits by completing this course.
18% of students were able to increase their salary or get a promotion by doing this course.
In this course, you will learn all the exploratory techniques that are used for summarizing data. The exploratory techniques are important to eliminate sharpening potential hypothesis which is addressed by the data.
You are also going to learn about plotting systems in R. There are also a few basic principles that are used for constructing data graphics. You are going to learn that too.
You will also learn some of the statistical techniques that are used for visualizing high-dimensional data.
Institution: Johns Hopkins University
Students Enrolled: 176.78k+
Instructors: from Biostatistics, Bloomberg School of Public Health
- Jeff Leek, Ph.D., Associate Professor
- Roger D. Peng, Ph.D., Associate Professor
- Brian Caffo, Ph.D., Professor
Rating: 4.7 out of 5.0
18. Statistical Inference(Coursera)
After completion of this data science certification, 50% of the students have started a new career after taking this course.
41% of the students were able to get a tangible benefit in their career with the help of this course.
The process of finding conclusions about scientific truth or populations from data is known as statistical inference.
There are so many models of performing inference including data-oriented strategies, statistical, and randomization in analyses, and explicit use of designs.
There are just too many theories and complexities for performing statistical inference. A person who practices statistical inference can be in a difficult position.
Constant thoughts on developing techniques for implementing them to solve a problem are needed.
If you take this best data science certification then you will understand statistical inference in detail. Then you will also be able to use the information to make data-driven decisions.
Institution: Johns Hopkins University
Students Enrolled: 177.27k+
Instructors: from Biostatistics, Bloomberg School of Public Health
- Jeff Leek, Ph.D., Associate Professor
- Roger D. Peng, Ph.D., Associate Professor
- Brian Caffo, Ph.D., Professor
Rating: 4.2 out of 5.0
19. Regression Models(Coursera)
22% of the enrolled students were able to start their new careers after taking this course.
14% of the students were able to get a promotion or increase their pay with the knowledge from this course.
28% of the students achieved tangible career benefits with the help of this course.
Regression models are one of the most important tools in the data scientist’s toolkit.
The instructor will teach you regression analysis, and inference using regression models and least squares.
ANOVA & ANCOVA are special cases of regression models. They are also covered in this course as well.
All in all, you are going to learn a lot about regression models in this course. You will be able to think in a modern way of selecting models.
Then you are also going to learn how to implement regression models and also scatter plot smoothing.
All of these will help you to become a better data science expert.
Institution: Johns Hopkins University
Students Enrolled: 136.9k+
Instructors: from Biostatistics, Bloomberg School of Public Health
- Jeff Leek, Ph.D., Associate Professor
- Roger D. Peng, Ph.D., Associate Professor
- Brian Caffo, Ph.D., Professor
Rating: 4.4 out of 5.0
20. Data Science Degree Online: Practical Machine Learning (Coursera)
34% of the student can begin a new career after completion of these courses.
33% of the enrolled students were able to gain benefits from this course.
14% of the students were able to increase their salary or get a promotion with the help of this course.
Predicting from data is what most data scientists do. Business analytics experts and data analysts also predict the future from data with the help of machine learning.
The instructor of this course will teach you how to build and implement prediction functions. You will learn all the basic things that you need for machine learning.
There are many models of algorithms in machine learning. You are going to be taught all of the main ones like the random forest, Naive Bayes, classification trees, and regression functions.
You are going to be familiar with all the steps that need to be taken for building the prediction functions after you are done with this course.
Institution: Johns Hopkins University
Students Enrolled: 146.1k+
Instructors: from Biostatistics, Bloomberg School of Public Health
- Jeff Leek, Ph.D., Associate Professor
- Roger D. Peng, Ph.D., Associate Professor
- Brian Caffo, Ph.D., Professor
Rating: 4.5 out of 5.0
21. Data Science Certification: Developing Data Products (Coursera)
13% of the students were able to get a promotion or increased their salaries after completing this course.
35% of the enrolled students got tangible career benefits after completion of this course.
32% were able to start a new career after doing this course.
The data product is the production of an output from a statistical analysis. Data products help you to automate complex analysis.
You are going to learn the basics that you need to know for creating data products with the help of R packages, Shiny, and interactive graphics.
You will learn about statistical fundamentals that are needed for creating data products. These data products can be used to tell the story about data to a large group audience.
Institution: Johns Hopkins University
Students Enrolled: 81.4k+
Instructors: from Biostatistics, Bloomberg School of Public Health
- Jeff Leek, Ph.D., Associate Professor
- Roger D. Peng, Ph.D., Associate Professor
- Brian Caffo, Ph.D., Professor
Rating: 4.6 out of 5.0
22. Data Science Capstone(Coursera)
34% of the students were able to start their careers after completion of this course.
40% of the students were able to benefit themselves in their careers from this course.
22% got to raise in salary or get a promotion.
This best data science certification contains a capstone project. You will be able to create a public data product that shows your skill to potential employees.
The project that you will be doing has been replicated to solve real-world problems. It will be conducted with academic partners, government, and industry.
If you want to change your career and make it turn for its best then you should take this course. You are going to learn a lot from this capstone project course because it is going to teach you about the real world.
The online data science course should not take you longer than 9 hours per week to complete. You should be able to complete it within 1 whole week.
Institution: Johns Hopkins University
Students Enrolled: 34.9k+
Instructors: from Biostatistics, Bloomberg School of Public Health
- Jeff Leek, Ph.D., Associate Professor
- Roger D. Peng, Ph.D., Associate Professor
- Brian Caffo, Ph.D., Professor
Rating: 4.5 out of 5.0
23. Data Science Course: Cluster Analysis and Unsupervised Machine Learning in Python
BESTSELLING 
Cluster analysis is a part of unsupervised machine learning in data science. Using this you will be able to automatically find patterns in the data without any need for labeling.
The best data science certification first talks about clustering. You are going to be using two methods for clustering. These methods are hierarchical clustering and k-means clustering.
All the algorithms that you are going to learn in this course are a part of data science. So if you are interested to know how to find patterns in your data automatically then this is the course for you.
It will save you a lot of manual work to label data. You are also going to save a lot of time in the long run.
All the materials for this course are completely free. The coding libraries are free as well.
The main focus of this course is to teach you how to build an understanding of data.
The instructor is not like a typical instructor who just teaches you how to use something. You will learn what is happening in the back so you can implement it to solve your problems in real life.
However, before you take this online course it is suggested that you revise calculus linear Algebra, and probability. If you can it is best to know the basics of Python programming language.
Course Instructor: Lazy Programmer Team, Lazy Programmer Inc
Students Enrolled: 23.8k+
Ratings: 4.6 out of 5.0
24. Python Certification Training for Data Science(Edureka)
In 2018 data science was the best job. The base salary of a data scientist was $242,000 and there were 4,524 job openings. The salary and also job openings are most likely to increase exponentially.
Python is the most popular programming language in the world. So you need to learn it to adapt to the current world.
You are going to gain experience in data mining, quantitative analysis, presenting data, and many more in this course. all of these are the roles that a data scientist needs to play in his job.
You are going to be familiar with numpy, matplotlib, scikit, and pandas in this course.
Machine learning algorithms like clustering, regression, decision trees, Q – Learning, random forest, and time series will also, be taught in the online class.
The instructor will teach you by solving real-life problems that are faced in this world.
So when you go for a job you can get hired because of the portfolio, you are going to build up just by doing this course.
Course Provider: Edureka
Students Enrolled: 109.4k+
Rating: 4.5 out of 5.0
25. Data Science Degree: Tableau 10 and Tableau 9.3 Desktop, Server & Data Science
BESTSELLING
Tableau is used for business intelligence and Analytics. It is a leading tool used by professionals in the data science industry.
The best data science certification online uses two real-life case studies as projects. If you are looking for a job as a business analyst or business intelligence expert then there is good news for you.
The instructor of this course has included sample resumes and profiles for job seekers. Many interview questions will help you to pass the interview.
The total content of this course is 46 hours of video. Yes, that is a lot of video content. And if you go through them all and understand them then you will become an expert at Tableau.
This course includes topics such as forecasting, statistics, k-means clustering, regression models, text mining, etc.
This course is a must for beginners and also for professionals in the business intelligence industry. Stop wasting your time and think no more just go ahead to take this course.
Course Instructor: ExcelR Solutions
Students Enrolled: 3.2k+
Ratings: 4.2 out of 5.0
26. Online Data Science Certification: Complete & Practical SAS, Statistics & Data Analysis
BESTSELLING
This course is for you if you want a complete and comprehensive course that teaches SAS programming, data analysis, intuitive statistics interpretation, and predictive modeling.
You will learn by doing practical projects that replicate real-life use cases. This will help you to build up a strong portfolio.
Even if you are a beginner or a job seeker in the data science industry this course is a must for you.
The instructors have included over 16 hours of video content for this course. Every minute of this course is full of information that is worth your attention.
If you are interested to have a good and strong Data Analytics career then this is a good start for you.
Course Instructor: Doctor Shenggang Li
Students Enrolled: 10.5k+
Ratings: 4.2 out of 5.0
27. Data Science Training: Deep Learning Prerequisites: Linear Regression in Python
BESTSELLING
This best data science certification program will teach you the one technique that is most used in data science and machine learning. The popular technique is linear regression. You are going to implement linear regression using python.
Linear regression is a machine learning model used in data science. And it is very much widely used even though it is very simple. It is taught to the very beginners who are getting started in this industry.
If you want to have a good career in machine learning as a data analyst or want to learn data analysis then you best get a clear idea about linear regression.
You are going to solve Real world problems using Python programming language. All the Python libraries that are used are available for free.
This course just does not only teach you how to use linear regression as a tool to solve real-world problems.
But you will also learn how to model it using the data sets of data you have collected to solve a problem.
All the coding templates for this course are available for free. You can download them from GitHub.
Even though this course is meant for beginners it is best for you if you have a very basic idea about Calculus Linear Algebra and also probability.
If you want to get the most out of the course you also need to have a fundamental idea about Python programming. Knowing how to use the NumPy library of python will help you a lot in this course.
Course Instructor: Lazy Programmer Inc.
Students Enrolled: 30k+
Ratings: 4.6 out of 5.0
28. Best Data Science Course: Modern Deep Learning in Python
BESTSELLING
This best data science certification course uses the famous TensorFlow library for deep learning from Google. Using this library will make your life a lot easier.
The course will teach you a lot about TensorFlow. You will learn how to build artificial neural networks using blocks.
Then the course in structure will also give you a glimpse of Theano. It is a bit older library compared to TensorFlow. But it is also updated to meet the industry standards.
Using the library you are going to learn about variables, functions, and expressions. As a result, you will be able to build your neural networks using Theano with full confidence.
These days there are just too many options to choose the library. The latest libraries are CNTK, PyTorch, Keras, MXNet, and many more. We just listed only the major ones.
Using the library is like Theano and TensorFlow you can speed up training your neural net models with the help of GPU. You will also be setting up a GPU instance on AWS.
The instructor of this course has made the course in such a way that you learn how to build your neural networks to solve a real-world problem.
Anyone can learn how to use the libraries in just about an hour or so. It can be done with the help of documentation.
But what is important is that you need to be able to use the libraries and the structure of neural networks to solve real-world problems. And this course just exactly does that for you.
While you do the course there is a Q & A section where you can ask questions to the instructor. The instructor will reply to you himself. It will help you to learn even more.
Course Instructor: Lazy Programmer Inc.
Students Enrolled: 31.7k+
Ratings: 4.6 out of 5.0
29. Best Data Science Degree Online: Python for Data Science and Machine Learning Bootcamp(Udemy)
This online course will take you on a journey to becoming the data scientist that you want to be.
The instructor of this course will teach you how to use python for analyzing data and create meaningful visualizations to tell the story with your data.
You are also going to learn how to use powerful machine-learning algorithms that data scientists and data engineer use.
The online class has been designed for very beginners. You can easily fly through the course if you have some beginner programming experience.
However, it is okay if you do not know how to program. As the instructor will walk you through all the steps of this hands-on online class.
There are so many data science Bootcamps on the internet that cost thousands of dollars. But the instructor wants to help you by teaching data science and machine learning.
So that you can get a good job as a data engineer or data scientist. And your employer also can implement data science in their business.
The class instructor is helping everyone with just a fraction of the cost of Bootcamp for data science. You should not miss the chance of learning data science and machine learning at such convenience.
There are more than 100 high-definition video lectures. The class also includes many detailed notebooks of code for every lecture.
You can hardly find any course that is more comprehensive than this one on Udemy.
Here are just some of the topics that you will learn in this online course:
- Programming with Python.
- NumPy is a library of Python.
- Pandas data frames for solving complex tasks.
- Use Python with SQL.
- you will use seaborn and matplotlib for visualizing data.
- learn plotly to create the interactive visualization.
- SciKit Learn for machine learning.
- K Nearest Neighbors.
- K means clustering.
- Decision trees.
- Random forests.
- Neural nets and deep learning.
- Support vector machines.
The list does not and here. Because the instructor has packed a lot of topics into this online course for data science and machine learning.
Even if you know nothing about machine learning or data science, you can easily speak things up along the course.
You will end up with a portfolio after you are done with the online class. Because you are going to be taught so much in this course and so many exercises will be done by the instructor.
Being a hands-on course, you are going to gain a lot of experience by doing the online class of over 22 hours.
The instructor of this course is a professional data scientist. And he has a lot of experience both as a teacher and also as a data scientist.
So he is going to be a good fit for your mentor. You can even ask him questions in the questions and answers section of the course.
However, if you do not like this course then you can always ask for a refund. You need to claim within 30 days of your purchase.
This is an amazing online course that you must take.
Course Instructor: Jose Portilla
Students Enrolled: 585.5k+
Ratings: 4.6 out of 5.0
30. Data Analysis for Data Science Certification in Python with Pandas
BESTSELLING
The target of this course is to teach you how to use Python effectively for analyzing and visualizing data.
This data science certification will give you a complete understanding of programming with Python. you will also learn how to use Python for scientific computing and also use other libraries to analyze the data.
You are going to get 100 example python code notebooks completely for free. It is a gift from the instructor so that you can learn very well.
And if you end up forgetting something in the future then you can just come back and brush up on your skills.
The very cause is meant to make you an expert in data science and data visualizations using python.
Most importantly if you are into data science then taking this course will help you to get ahead in the industry.
Course Instructor: Bill Chambers
Students Enrolled: 5.7+
Ratings: 4.0 out of 5.0
31. Statistics Essentials for Analytics(Edureka)
You will learn many statistical techniques from scratch in this course. Not only that but you are going to implement each of the techniques that you learn for a real-life case.
Data science is highly dependent on statistics. To get a strong grasp on data science you need to have a good knowledge of statistics. Machine learning in data science uses many techniques from statistics.
If you do not understand the theories behind machine learning, you cannot become a good data scientist.
Course Provider: Edureka
Students Enrolled: 7.5k+
Rating: 5.0 out of 5.0
32. Data Science with R(PluralSight)
Data science has become more important to companies for their advancement in the global economy.
This data science certification will help you to contribute to the world with the help of data science. You might end up with a data scientist job.
In this course, you are going to use the R programming language for data science. Using the programming language, you can transform your data to give you detailed insights.
With these insights, you can help other businesses or organizations to make data-driven decisions.
Instructor: Matthew Renze
Rating: 5.0 out of 5.0
33. Data Science Certification: The Big Picture(PluralSight)
In the field of data science what you need to do is transform your data into something that helps you to make data-driven decisions by giving detailed insights. You need to make your data tell a story to your audience.
The instructor of this course is going to teach you the techniques, technologies, tools, and trends which are driving the world that highly relies on data science.
Instructor: Matthew Renze
Rating: 4.5 out of 5.0
34. SQL for Newbies: Data Analysis for Beginners
BESTSELLING 
You do not need to have any background knowledge to take this data analysis course. Because the instructors have started from the very basic and have gone to a very advanced level.
This short course will teach you everything you need to know to get started in data analysis with SQL.
Almost every company in this world uses SQL. Having this skill will help you to become a great data analyst.
However, this course not only teaches you the theory but it teaches the real-world skills that you need to know to solve the problem at your company.
The instructors pretend that they are a real business and they implement SQL to solve their problems at the company.
These instructors go through the raw skills that are needed to structure the data which are most of the time messed up in real life.
There are also many exercises and quizzes throughout the course so that you can implement what you do on Udemy as well.
However, the course may be very detailed but if you do not understand anything you can just as the instructors. There is a special section to ask questions of the course instructors.
Please be noted that there is no need to get yourself any new software with money. Everything that you used to analyze data with MySQL is completely free.
And the instructors are going to help you with the installation of every program that you need to install.
The target audience of this data science certification is marketers and people who are starting their businesses. So the people who want to become data analysts without a technical background.
If you are looking for a job as a data analyst then this is a very helpful course.
Students Enrolled: 69.9k+
Instructor: A Course You’ll Finish, David Kim, Peter Sefton
Rating: 4.3 out of 5.0
35. Data Science & Hadoop Workflows at Scale With Scalding (PluralSight)
In this data science certification, you will learn how to use Algebird and Scalding. These are the tools for data science.
Further into the course, you are going to join Etsy, eBay, Twitter, and many others for extracting value and also to process data efficiently and effectively at scale on Hadoop.
Instructor: Ahmad Alkilani
Rating: 4.5 out of 5.0
36. Data Science: Executive Briefing
This is an executive briefing course. Here you are going to learn what is data science, the reasons why it is so important for businesses, and why you need to learn it.
You will also be taught about the ways that you can take to get started with building your data-driven organization.
Instructor: Ahmad Alkilani
Rating: 4.5 out of 5.0
37. Data Science Certification Programs & Training: Data Analysis with Pandas and Python(Udmey)
BESTSELLING
This data science course will help you to step up your Python skills and use them for data analysis.
After that, you will learn how to visualize that data. You are going to learn the very basics first then you are going to go through two big data analysis projects.
The data science certification has been prepared by the instructor for beginners in Python programming language. So if you have no idea about Python programming then you can also take this course.
You will be able to hit two birds with one stone. Learn Python from this course and also use it to analyze data and then visualize it.
You are also going to learn are the third-party libraries that are used for Python programming.
Libraries are Seaborn, Matplotlib, Pandas, etc. The environment that increases your productivity such as Jupyter and Spyder will also be explained to you.
As you go through the course you will go step by step to build a program that uses data from the real world.
This dataset contains millions of records in hundreds of files.
You will be writing Python code that does a lot of stuff. Your program will download extract clean manipulate aggregate and even visualize these data sets.
If you want to switch from one programming language to another like Python then you should take this course.
And if you still have not learned how to program in Python but want to start a career in data analysis you are the perfect candidate for this very course.
Course Instructor: Boris Paskhaver
Students Enrolled: 172.6+
Ratings: 4.6 out of 5.0
38. Data Visualize Data with D3.js The Easy Way
BESTSELLING
D3.js Helps you to visualize data. This course teaches you how you can build programs that visualize data using the D3 JavaScript library.
You will be using the very basics to visualize the data using JavaScript basics. Where also learn how to make your data visualization interactive.
This course will also teach you how to add buttons and use them as a sorting button or for starting animations.
Once you are done with this course you will be able to develop data-intensive applications with the JavaScript library D3. You are also going to get working files with this course.
But to be able to take this data science certification you need to have a basic idea of HTML and CSS. If you know that HTML is used to build web pages then you are good to start with this course.
Course Instructor: Infinite Skills
Students Enrolled: 5.6k+
Ratings: 4.1 out of 5.0
39. Interactive Data Visualization with Python & Bokeh
BESTSELLING
Bokeh and Python help you to create impressive data visuals on your browser. After completing this course you will master Bokeh and Python completely.
You will be able to plot data step by step and build web applications that show rich and beautiful data.
Bokeh is a new library of Python for data science. And you should learn it to update your portfolio. because if you don’t you are going to stay behind in the industry.
This is a good course for you if you want to be a data analyst, statistician, or even a data scientist.
When you are a professional in the industry but want to make your clients audience impressed with the data you present them then this course is your go-to option.
You are going to go through a lot of exercises throughout the whole course. These exercises are meant to it more difficult as you go through the course and learn more.
The best data science certification is supposed to take you 10 to 20 hours each week. The time taken depends on your productivity skills and how fast you learn something new.
If you get stuck during the course then you can always ask the instructor for help. The instructor will answer every question you have as soon as possible.
The instructor himself is a professional in the industry. It will be a great help to get help from industry professionals if you are getting started in the industry.
Course Instructor: Ardit Sulce
Students Enrolled: 10.4k+
Ratings: 4.3 out of 5.0
40. SAP Data Services (BODS) Extraction, Transformation, and Loading(Udemy)
BESTSELLING
SAP Data Services is a top-notch data integration and transformation space.
They are a crucial part of the SAP HANA solution. Using SAP Data Services you will be able to clean discover and also integrate data. You will also be able to do real-time analysis of the data.
If you can structure the unstructured data in your organization then you will be able to do business better.
Because all businesses are data drives these days. Understanding the data patterns will help you to learn more about your customers.
In this best data science certification you are going to learn how to understand Data Service’s big picture, target connection, and heterogeneous sources, build ETL Jobs, and debug, validate, and trace Data Services Jobs.
Course Instructor: Learn Anywhere
Students Enrolled: 8.7k+
Ratings: 4.1 out of 5.0
41. Data Science Degree Online: Specialization in Machine Learning(Coursera)
This best data science certification is from the leading researchers who teach at the University of Washington. can be no better way to introduce yourself to the highly demanded field of this world known as machine learning.
Throughout the whole specialization, you are going to go through a series of real-world case studies. You are going to apply the skills and experience that you build up throughout the specialization course.
This specialization course will make you an expert in major parts of Machine Learning like Classification, Information Retrieval, Prediction, and Clustering.
After you’re done with this course you are going to be able to analyze industrial-sized data which are very complex. You will be able to build intelligent software which can predict from clean data sets.
This series, of course, will help you to master the machine learning skill completely. You are also going to do a capstone project.
This project will require you to apply each and everything that you have to learn throughout the specialization.
After you apply all the skills that you have learned in one single project you will become an expert at what you do which is machine learning.
It does not only and here. Are going to get a verified certificate from the University of Washington.
With this certificate, you will be able to reach the sky. You can get your staff hired at top-notch companies or corporations with this certificate.
Boost your LinkedIn profile with this certificate from the University of Washington.
Institution: University of Washington
Students Enrolled: 188.9k+
Instructors: Emily Fox, Carlos Guestrin
Online Data Science Courses Included in Specialization
- Machine Learning Foundations: A Case Study Approach
- Regression
- Classification
- Clustering & Retrieval
The instructor of this course is a professional who works at Amazon have professional experience and also have experience in researching machine learning.
Doing this course from industry professionals is just going to boost your confidence and knowledge more than the others.
Don’t stay behind the others anymore. Get started with this course right now.
Ratings: 4.7 out of 5.0
42. Machine Learning Foundations: A Case Study Approach (Coursera)
- 31% of the students were able to begin their new careers after doing this course.
- 25% of the enrolled students can get tangible benefits in their careers.
The data science certification will give you hand on experience in machine learning. There are many very practical case studies. You are going to do them in the specialization course.
After completing the first course in the specialization you will know how to predict the price of houses based on the features.
You will also know how to analyze the sentiment from the reviews of users, recommend the right products, retrieve documents of interest and also search for images.
As you are going to go through the real-life examples you will know the use cases of machine learning in real life perfectly.
The course instructors do not go march into theory in the very first course. You will also understand the tests of interest and how to match the tasks for machine learning tools and then assess the quality of the output.
As you progress further and go to the latter classes you are going to learn about machine learning in detail. You will be taught about the models and the algorithms.
After you are done with the course you will know how to build a complete application that uses machine learning at its heart.
Institution: University of Washington
Students Enrolled: 365.3k+
Instructors:
- Carlos Guestrin, Amazon Professor of Machine Learning, Computer Science, and Engineering
- Emily Fox, Amazon Professor of Machine Learning, Statistics
Rating: 4.6 out of 5.0
43. Data Science Certification: Regression(Coursera)
- 38% of people were able to make a transition in their careers after completion of this course.
- 36% of the enrolled students can gain tangible benefits in their careers by doing this course
- 12% were able to raise their salary or get a promotion.
In this best data science certification, you will know how to create regression models for predicting. You will learn how to handle very large data sets and also select between the various models of regression.
There are many aspects of data that can have an impact on the output of prediction from a data set. You are going to learn all that. So that your prediction doesn’t end up wrong.
By the end of the course, you will be able to describe the output and input of any regression model.
You are going to be able to do the following after completing this course:
- Contrast and compare the variance unbiasedly while you model data.
- Estimate the model parameters by using optimization algorithms.
- Tune the parameters by using cross-validation.
- Analyze the performance of the model.
- How to deploy methods for selecting between models.
- You can exploit the model for forming predictions.
- Create your regression model for making predictions of the house price.
- Implement all of what you learned in Python.
This is a great course for you to take. However, it is suggested that you take its whole specialization. So, you will get a complete Idea of machine learning and data science certifications.
Institution: University of Washington
Students Enrolled: 149.7k+
Instructors:
- Emily Fox, Amazon Professor of Machine Learning, Statistics
- Carlos Guestrin, Amazon Professor of Machine Learning, Computer Science, and Engineering
Rating: 4.8 out of 5.0
44. Best Data Science Training: Machine Learning: Classification (Coursera)
- 53% of the students who completed the course were able to make a transition in their careers.
- 50% of the students were able to make tangible changes in their careers.
- 11% of the students were able to increase their salary or get a promotion.
In this course, you will learn how to analyze sentiment and create models for predicting. You will predict if a loan is risky or if it is going to help the banks with their business.
You are going to get a lot of examples of classification. Such as targeting advertisements, medical diagnosis, spam detection, and image classification. These are all examples of using classification for machine learning.
In this course, you will learn all the most successful techniques which are used by professionals in the industry. You are also going to use decision trees and logistic regression to make predictions.
All in all, you will be able to implement everything that you learned in this course in the real world to solve real-world problems. as this course is hands-on and also action-packed you are going to gain a lot of experience.
You should take this course if you want to learn how classification is used in machine learning. However, it is suggested that you do not take this course alone what do the specialization?
Institution: University of Washington
Students Enrolled: 116.8k+
Instructors:
- Emily Fox, Amazon Professor of Machine Learning, Statistics
- Carlos Guestrin, Amazon Professor of Machine Learning, Computer Science, and Engineering
Rating: 4.7 out of 5.0
45. Clustering & Retrieval(Coursera)
This best data science certification will teach you how to examine the structured representations for the description of documents in the corpus. Including the mixed membership models and clustering like latent Dirichlet allocation.
You are also going to learn how to implement expectation maximization. So that document clustering could be learned. Then later this modern could be scaled using MapReduce.
After you are done with this course you will be able to create a system that retrieves a document with the help of k nearest neighbors.
There is a lot that you are going to learn in this course. As this is a hands-on course you should learn a lot from this course.
After gaining practical experience, you will be able to share it on social media. It will gain more attraction from prospective employers.
Institution: University of Washington
Students Enrolled: 91.0k+
Instructors:
- Emily Fox, Amazon Professor of Machine Learning, Statistics
- Carlos Guestrin, Amazon Professor of Machine Learning, Computer Science, and Engineering
Rating: 4.6 out of 5.0
If you are new and want to start building your career in data science, this might assist you a lot.
Finally, I hope that after taking this Best Data Science Certification, Degree, Training, and Tutorial 2024 you will be enough eligible and confident to jump-start your career.
The data science degree online you help you along with your journey to becoming a data scientist.
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Jamil Ahmed, CEO of Reinforce Lab. Pharmacist, with experience in numerous fields in Pharmaceutical Companies and also worked in several pharmaceutical companies for over 5 years in International Business.
Digital innovator, Personal Branding, Small Business, SEO Marketer, and Marketing Consultant. Named as the Top 3 Business Intelligence Marketing Influencer in 2018 by Onalytica. Top 20 eCommerce Online Seller & Influencer by SaleHoo and Top 8 eCommerce Influencer by FitSmallBusiness.
Regularly Share tips and tricks for effective Personal Branding, Digital Marketing, Social Media Marketing, Small Business, Entrepreneurship, and Technology Integration in Business by building relationships, and by telling stories.
