Are you looking for the best Datacamp Courses?
Here are the best courses, Classes, Trainings, Certifications from Datacamp for you.
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Best Datacamp Courses, Classes, Training, Certification 2024
DataCamp is an online learning platform focused on data science and analytics.
It offers interactive courses in various programming languages like Python, R, and SQL, which are commonly used in data analysis.
The platform is designed for learners at all levels, from beginners to advanced users.
The courses on DataCamp are practical and hands-on.
They often include exercises and real-world projects to help learners apply what they’ve learned.
This approach makes it easier for users to understand complex concepts and develop practical skills.
DataCamp is also known for its flexibility. Learners can choose courses based on their interests and career goals.
Whether someone wants to become a data analyst, data scientist, or enhance their data skills in their current role, DataCamp provides relevant courses.
We are going to know about the best trainings from Datacamp –
1. Introduction to Python
Learn Python for data analysis in just four hours with this beginner-friendly course. Start with the basics of Python and discover how to handle data using popular tools.
The course includes –
- An Introduction to Python
- Discover the Python Basics
- Explore Python Functions and Packages
- Get Started with NumPy
Rating: 4.7+ out of 5.0
Student Enrolled: 5272K+
Instructor: Hugo Bowne-Anderson
2. Introduction to SQL
Start using SQL in just two hours! This course teaches you how to build and search relational databases, perfect for beginners.
This course includes –
- Get an Introduction to SQL in Two Hours
- Learn how Relational Databases are Organized
- Write Your First SQL Queries
- Understand the Difference Between PostgreSQL and SQL Server
Rating: 4.7+ out of 5.0
Student Enrolled: 497K+
Instructor: Izzy Weber
3. Introduction to ChatGPT
Discover how to effectively use ChatGPT in this course. Learn to craft prompts and explore how ChatGPT can be applied in various business scenarios.
This course includes –
- An Introduction to ChatGPT
- Learn Best Practices For Writing Prompts
- Translate ChatGPT Into Business Value
Rating: 4.2+ out of 5.0
Student Enrolled: 150K+
Instructor: James Chapman
4. Understanding Data Science
Explore data science without coding in this introductory course. Learn what data science is, its importance, and get hands-on experience through exercises. Ideal for beginners curious about the field.
Class includes –
- Introduction to Data Science
- Data Collection and Storage
- Preparation, Exploration, and Visualization
- Experimentation and Prediction
Rating: 4.8+ out of 5.0
Student Enrolled: 535.9K+
Instructors: Hadrien Lacroix, Sara Billen, Lis Sulmont
5. Introduction to R
Learn R programming basics, including data manipulation and analysis. This course covers vectors, lists, and data frames, using real datasets for practice. Suitable for beginners in data analysis.
Course includes –
- Learn R Programming
- Gain an Introduction to R
- Master the R Basics for Data Analysis
Rating: 4.7+ out of 5.0
Student Enrolled: 2622K+
Instructor: Jonathan Cornelissen
6. Intermediate Python
Enhance your Python skills with this intermediate course. Learn to create visualizations using Matplotlib and manipulate data using pandas DataFrames. Ideal for those looking to advance in data science.
This class includes –
- Improve Your Python Skills
- Learn to Use Python Dictionaries and pandas
- Explore Python Boolean Logic and Python Loops
Rating: 4.6+ out of 5.0
Student Enrolled: 1029.5K+
Instructor: Hugo Bowne-Anderson
7. Intermediate SQL
This Intermediate SQL course offers hands-on practice to master data analysis with SQL. Learn to write effective SQL queries and analyze data independently, perfect for those looking to deepen their SQL skills.
Course includes –
- How to filter and compare data
- How to use aggregate functions to summarize data
- How to sort and group your data
- How to present your data cleanly using tools such as rounding and aliasing
Rating: 4.7+ out of 5.0
Student Enrolled: 160.5K+
Instructor: Jasmin Ludolf
8. Introduction to Power BI
Learn Power BI basics in this course to create impactful reports. Understand data loading, transformation, and visualization in Power BI, perfect for beginners in data visualization.
This course includes –
- A Thorough Introduction to Power BI
- Learn the Power BI Basics
- Create Powerful Data Visualizations
Rating: 4.6+ out of 5.0
Student Enrolled: 305.5K+
Instructor: Sara Billen, Iason Prassides
9. Data Manipulation with Pandas
Master data manipulation using pandas in Python. Learn to import, clean, and analyze data, calculate statistics, and create visualizations. Ideal for those looking to enhance their data-handling skills.
This course includes –
- Discover Data Manipulation with pandas
- Work with pandas Data to Explore Core Data Science Concepts
- Learn to Manipulate DataFrames
Rating: 4.5+ out of 5.0
Student Enrolled: 334.5K+
Instructor: Maggie Matsui, Richie Cotton
10. Joining Data in SQL
Advance your SQL skills with this course on joining tables, applying relational set theory, and using subqueries. Ideal for those looking to deepen their understanding of SQL table relationships and data integration.
Course includes –
- Work with more than one table in SQL
- Use inner joins, outer joins, and cross joins
- Leverage set theory, including unions, intersect, and except clauses
- Create nested queries
Rating: 4.4+ out of 5.0
Student Enrolled: 99.5K+
Instructor: Maham Khan
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11. Understanding Data Engineering
Explore the role of data engineering in data science, no coding needed. Learn about a data engineer’s responsibilities and how they prepare data for analysis.
Course includes –
- Understand the Basics of Data Engineering
- Apply in Personal Cases
Rating: 4.7+ out of 5.0
Student Enrolled: 204K+
Instructors: Hadrien Lacroix
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12. Supervised Learning with scikit-learn
Enhance your machine learning skills using scikit-learn in Python. This interactive course uses real-world datasets to teach powerful prediction techniques. Ideal for those looking to advance in machine learning.
Course includes –
- How to use this popular Python library
- Classification
- Regression
- Fine-Tuning Your Model
- Preprocessing and Pipelines
Rating: 4.4+ out of 5.0
Student Enrolled: 92.9K+
Instructors: George Boorman
13. Introduction to Excel
Learn Excel fundamentals for effective analysis. This course covers essential spreadsheet functions, data organization, and analytical techniques, perfect for beginners in Excel.
Course includes –
- Getting started with Excel
- Working with Functions
- Visualizing data
Rating: 4.6+ out of 5.0
Student Enrolled: 92.9K+
Instructors: Jess Ahmet
14. Introduction to Tableau
Begin your Tableau journey with this introductory course. Learn the essentials of Tableau, including its key features and how to create effective dashboards. Ideal for those new to Tableau and data visualization.
This class includes –
- Gain a Comprehensive Introduction to Tableau
- Discover what Tableau is Used for and How to Visualize Data
- Build your Own Tableau Dashboard
Rating: 4.7+ out of 5.0
Student Enrolled: 201.8K+
Instructor: Maarten Van den Broeck, Lis Sulmont, Sara Billen, Carl Rosseel
15. Understanding Artificial Intelligence
Explore the complexities and societal impacts of AI in this theoretical course. Learn about machine learning, deep learning, NLP, and generative models, and understand AI’s challenges.
This class includes –
- Explore the Basics of Artificial Intelligence
- Overview of AI Applications
- Harnessing AI in Organizations
- The human side of AI
Rating: 4.3+ out of 5.0
Student Enrolled: 25.2K+
Instructor: Ivan Palomares Carrascosa
16. Introduction to Statistics in Python
Enhance your statistical abilities with Python. This course teaches data collection, analysis, and making accurate conclusions. Ideal for those seeking to improve their data skills using Python.
This course contains –
- Summary Statistics
- Random Numbers and Probability
- More Distributions and the Central Limit Theorem
- Correlation and Experimental Design
Rating: 4.5+ out of 5.0
Student Enrolled: 84.0K+
Instructor: Maggie Matsui
17. Data Analysis in Excel
Enhance your Excel skills for data analysis. Learn PivotTables, logical functions, what-if analysis, and forecasting techniques. Ideal for those looking to improve their Excel-based data analysis capabilities.
This course contains –
- Exploring PivotTables
- Intermediate Logical Functions
- What-if Analysis
- Forecasting
Student Enrolled: 15.3K+
Instructor: Nick Edwards
18. Understanding Prompt Engineering (FREE)
Gain expertise in using ChatGPT for business and creative purposes. This course covers prompt engineering, zero to few-shot learning techniques, and evaluating responses effectively. Ideal for those looking to leverage ChatGPT’s capabilities in professional and creative settings.
This course contains –
- Prompting unveiled
- Prompting Strategies and Techniques
- Advanced Prompt Engineering
Student Enrolled: 3.1K+
Instructor: Alex Banks
19. Data Manipulation in SQL
Learn to craft complex SQL queries for diverse data science applications. This course focuses on using PostgreSQL to prepare robust data sets for in-depth analysis, perfect for those aiming to enhance their SQL skills in data science contexts.
This course includes –
- learn the robust use of CASE statements
- Short and Simple Subqueries
- Correlated Queries, Nested Queries, and Common Table Expressions
- Window Functions
Rating: 4.4+ out of 5.0
Student Enrolled: 201.7K+
Instructor: Mona Khalil
20. Intermediate R
Advance your R programming skills by mastering conditional statements, loops, and vector functions. This course is designed to take you closer to becoming an R expert, ideal for those who want to deepen their understanding and proficiency in R programming.
This class contains –
- Conditionals and Control Flow
- Loops
- Functions
- The apply family
- Utilities
Rating: 4.5+ out of 5.0
Student Enrolled: 583K+
Instructor: Filip Schouwenaars
21. Introduction to the Tidyverse
Begin your data exploration and visualization journey in R with the tidyverse. This course introduces you to this influential collection of data science tools, perfect for those new to data analysis and visualization in R.
This training contains –
- Data wrangling
- Data visualization
- Grouping and summarizing
- Types of visualizations
Rating: 4.8+ out of 5.0
Student Enrolled: 306.6K+
Instructor: David Robinson
22. Introduction to Data
Start your data journey with this introductory course on data fundamentals. Learn about data types, structures, the DIKW framework, and data ethics. Ideal for beginners seeking a comprehensive understanding of data concepts.
This course contains –
- Data Basics
- Data Wisdom
- Data In-depth
Rating: 4.8+ out of 5.0
Student Enrolled: 21.8K+
Instructor: Maarten Van den Broeck, Joe Franklin
23. Introduction to Data Visualization with Matplotlib
Learn to create and share engaging data visualizations with Matplotlib in Python. This course covers the essentials of customizing and enhancing your data plots, perfect for those interested in data visualization.
You will learn –
- Introduction to Matplotlib
- Plotting time-series
- Quantitative comparisons and statistical visualizations
- Sharing visualizations with others
Rating: 4.5+ out of 5.0
Student Enrolled: 161.9K+
Instructor: Ariel Rokem
24. Understanding Machine Learning
Start your machine learning journey with this introductory course. Learn the fundamentals of machine learning without any coding, perfect for beginners seeking a comprehensive understanding of the field.
You will learn –
- What is Machine Learning
- Machine Learning Models
- Deep Learning
Rating: 4.6+ out of 5.0
Student Enrolled: 178.3K+
Instructor: Lis Sulmont, Hadrien Lacroix, Sara Billen
25. Introduction to DAX in Power BI
Deepen your Power BI expertise with this course on Data Analysis Expressions (DAX). Learn to create calculated columns, tables, and measures, essential for advanced data analysis in Power BI. Ideal for those looking to expand their Power BI skills with DAX fundamentals.
You will learn –
- Learn the DAX Fundamentals
- Create Calcualted Columns, Measures and Tables
Rating: 4.1+ out of 5.0
Student Enrolled: 53.9K+
Instructor: Jess Ahmet
Wrapping Up: Best Datacamp Courses, Classes, Training, Certification 2024
In 2024, DataCamp continues to stand out as a premier destination for those eager to enhance their data skills.
With a diverse range of DataCamp courses and certifications, learners can dive into data analysis, data manipulation, and visualization data.
These courses are not just theoretical; they offer real-world applications, making them ideal for aspiring data scientists and data analysts.
DataCamp’s approach to learning is unique, with interactive exercises, daily 5-minute coding challenges, and mobile courses that are loved by learners at thousands of companies.
Whether you’re interested in machine learning, big data, or just starting out, DataCamp provides an engaging platform to grow your data skills.
FAQs
Are DataCamp courses free?
Yes, DataCamp offers some free courses, providing a great opportunity for beginners to start learning. However, for full access to all courses and materials, a subscription is required.
Is DataCamp worth it?
Absolutely. DataCamp courses are highly beneficial for those looking to gain practical, hands-on experience in data science and analytics. The courses are designed to cater to various skill levels, making them a valuable resource for both beginners and experienced professionals.
Is Udemy or DataCamp better?
Both platforms have their strengths. Udemy offers a wide range of courses in various fields, while DataCamp specializes in data science and analytics. If your focus is specifically on data-related skills, DataCamp might be the better choice due to its specialized curriculum and interactive learning approach.
Are DataCamp certificates valid?
Yes, DataCamp certificates are recognized and valued in the industry, especially by employers looking for practical skills in data science and analytics.
Can beginners start with DataCamp courses?
Yes, beginners can definitely start with DataCamp. The platform offers a range of introductory courses that are perfect for those new to data science and analytics. These courses focus on foundational skills, making them accessible to learners with no prior experience.
How long does it take to complete a DataCamp course?
The duration to complete a DataCamp course varies. Most courses can be completed within a few hours to a few days, depending on the complexity of the topic and the learner’s pace. DataCamp’s flexible learning structure allows learners to progress at their own speed.
Does DataCamp offer courses in languages other than English?
Currently, the majority of DataCamp courses are in English. However, DataCamp is continually expanding its offerings, and there may be courses in other languages available or in development.
Are there any interactive projects in DataCamp courses?
Yes, DataCamp offers interactive projects that allow learners to apply their skills to real-world scenarios. These projects enhance the learning experience by providing practical applications of the concepts taught in the courses.
Can I access DataCamp courses on mobile devices?
Absolutely. DataCamp provides a mobile app, that allows learners to access courses and daily coding challenges on their smartphones. This feature is particularly useful for those who prefer learning on-the-go or have limited access to a desktop computer.
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Tamjid Uddin Sayed, Working as a Creative Writer at JA DIRECTIVES with diverse knowledge of writing content and articles. Completed Bachelor of Science in Computer Science & Engineering from the University of Asia Pacific, Dhaka, Bangladesh. Done several research works focused on (Internet of Things) IoT.
