11 Best Online Statistics Courses, Tutorials and Training in 2024

Are you looking for the Best Online Statistics Courses? Grab the list of the Best Free Online Statistics Tutorials and Training.

Get everything you’d want to know about descriptive and inferential statistics with these statistics trainings.

Learning statistics is a must for a data scientist. If you want to learn computer science, you will need to know statistics as well.

Do you know, What is the importance of statistics? What is the importance of statistics in daily life? and How do statistics help us?

You will get all the ideas after doing the online statistics course. There is a lot of free online statistics courses you can get started with it.

Uses of Statistics:

• aids in providing a better understanding and exact description of a phenomenon of nature.
• helps in the proper and efficient planning of a statistical inquiry in different of study.
• assists in collecting appropriate quantitative data.
• sampling distributions, random variables, data frames, significance tests, binomial distribution, and much more.

11 Best Online Statistics Courses, Tutorials, and Training in 2024

1. Statistics with R Specialization (Coursera)

This is not a free Online Statistics course but you can start doing it free for 7 days. Master Statistics with R. Statistical mastery of data analysis including inference, modeling, and Bayesian approaches.

There are 5 Online Statistics Tutorials in this Specialization:

• Introduction to Probability and Data
• Inferential Statistics
• Linear Regression and Modeling
• Bayesian Statistics
• Statistics with R Capstone

Created By: Duke University

Students Enrolled: 26.2K+

Instructors: Mine Çetinkaya-Rundel

Rating: 4.7 out of 5.0

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2. Best Online Statistics Courses: Methods and Statistics in Social Sciences Specialization (Coursera)

Critically Analyze Research and Results in Using R. Learn to recognize sloppy science, perform solid research, and do appropriate data analysis.

There are 5 Online Statistics Courses in this Specialization:

• Quantitative Methods
• Qualitative Research Methods
• Basic Statistics
• Inferential Statistics
• Methods and Statistics in Social Science – Final Research Project

Course Creator: The University of Amsterdam (UvA)

Students Enrolled: 99.1K+

Instructors:

• Annemarie Zand Scholten, Assistant Professor, Economics and Business
• Dr.Gerben Moerman, Faculty of Social and Behavioural Sciences
• Dr. Matthijs Rooduijn, Department of Political Science
• Emiel van Loon, Assistant Professor, Institute for Biodiversity and Ecosystem Dynamics

Rating: 4.6 out of 5.0

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3. Online Statistics Courses for Data Science and Business Analysis (Udemy)

BESTSELLER

Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis.

You will be able to learn:

• Understand the fundamentals of statistics
• How to work with different types of data
• To plot different types of data
• Calculate the measures of central tendency, asymmetry, and variability
• Correlation and covariance
• Distinguish and work with different types of distributions
• Estimate confidence intervals
• Perform hypothesis testing
• Make data-driven decisions
• Understand the mechanics of regression analysis
• Carry out regression analysis
• Use and understand dummy variables
• Understand the concepts needed for data science even with Python and R!

**You will acquire the fundamental skills that will enable you to understand complicated statistical analysis directly applicable to real-life situations.

Requirements:

• No experience is required. Everything is in the course.
• A willingness to learn and practice

Enrollment: 195.1K+

Instructors: 365 Careers, 365 Careers Team

Rating: 4.6 out of 5.0

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4. Workshop in Probability and Statistics Online Course (Udemy)

One of the Best Online Courses on Statistics that will teach you the fundamentals of statistics, introduction to statistics, and statistical concepts.

This statistics basics tutorial will give you a leg up at work or in school.

You will be able to learn:

• Able to pass any introductory statistics course
• Probability, sampling, regression, and decision analysis

**This workshop is designed to help you make sense of basic probability and statistics with easy-to-understand explanations of all the subject’s most important concepts.

Requirements:

• Knowledge of basic algebra
• Microsoft Excel

Students Enrolled: 33.5K+

Instructor: George Ingersoll

Rating: 4.6 out of 5.0

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5. Online Statistics Courses: Statistics for Business Analytics & Data Science (Udemy)

Business statistics for analytics and a Data Science Career. Master Statistical Significance, Confidence Intervals, And Much More!

You will be able to learn:

• What a Normal Distribution is
• Understand standard deviations
• The difference between continuous and discrete variables
• What a sampling distribution is
• The Central Limit Theorem
• The Central Limit Theorem in practice
• Hypothesis Testing for Means
• Apply Hypothesis Testing for Proportions
• Use the Z-Score and Z-Tables
• Use the t-Score and t-Tables
• The difference between a normal distribution and a t-distribution
• Statistical significance
• Confidence intervals
• The potential pitfalls of overusing p-Values

**You will gain real-world examples of business challenges and learn, how you could apply this knowledge to boost your career.

Requirements:

• Just a basic knowledge of high school math’s

Students Enrolled: 64.0K+

Instructor: Kirill Eremenko, Ligency |Team, Ligency Team

Rating: 4.4 out of 5.0

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6. Become a Probability & Statistics Master (Udemy)

BESTSELLER

Learn everything from Probability & Statistics Course, then test your knowledge with 400+ practice questions.

You will be able to learn:

• Visualizing data, including bar graphs, pie charts, Venn diagrams, histograms, and dot plots
• Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
• Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
• Probability, including union vs. intersection and independent and dependent events, and Bayes’ theorem
• Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables
• Sampling, including types of studies, bias, the sampling distribution of the sample mean or sample proportion, and confidence intervals
• Hypothesis testing, including inferential statistics, significance level, type I and II errors, test statistics, and p-values
• Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square

Requirements:

• Should be comfortable with arithmetic (addition, subtraction, multiplication, division) of whole numbers.
• You should be comfortable with basic algebraic operations.

Students Enrolled: 88.3K+

Instructor: Krista King

Rating: 4.7 out of 5.0

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7. Online Statistics Courses: Statistics with Python Specialization (Coursera)

These Online Courses for Statistics are practical and modern statistical thinking for all. Use Python for statistical visualization, statistical inference, and modeling.

There are 3 Online Statistics Tutorials in this Specialization:

• Understanding and Visualizing Data with Python
• Inferential Statistical Analysis with Python
• Fitting Statistical Models to Data with Python

Offered By: The University of Michigan

Students Enrolled: 88.3K+

Instructors:

• Brenda Gunderson, Lecturer IV, and Research Fellow, Department of Statistics
• Brady T. West, Research Associate Professor, Institute for Social Research
• Kerby Shedden, Professor, Department of Statistics

Rating: 4.6 out of 5.0

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8. Statistics Essentials for Analytics (Edureka)

A self-paced course that helps you to understand the various Statistical Techniques from the very basics and how each technique is employed on a real-world data set to analyze and conclude insights.

Statistics and its methods are the backend of Data Science to “understand, analyze and predict actual phenomena”. Machine learning employs different techniques and theories drawn from statistical & probabilistic fields.

You will be able to learn:

• Understand various data types
• Learn Various variable types
• List the uses of variable types
• Explain Population and Sample
• Discuss sampling techniques
• Understand Data representation

Enrollment: 7K+

Rating: 5.0 out of 5.0

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9. Statistics Tutorial for Data Science: Probability and Statistics for Business and Data Science (Udemy)

Learn how to apply probability and statistics to real data science and business applications!

You will be able to learn:

• Understand the basics of probability
• Be able to implement basic statistics
• Understand how to use various statistical distributions
• Apply statistical methods and hypothesis testing to business problems
• Understand how regression models work
• Implement one-way and two-way ANOVA
• Understand Chi-Squared Tests
• Be able to understand different types of data

**From this online statistics course, you will get to know about probability and statistics to succeed in business and the data science field.

Requirements

• Paper and Pencil to take notes
• Excel or Python to run simulations (Optional)

Enrollment: 35.2K+

Instructor: Jose Portilla.

Rating: 4.6 out of 5.0

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10. Online Statistics Foundations: Understanding Probability and Distributions (PluralSight)

We live in a world of big data, and someone needs to make sense of all this data.

In this online statistics course, you will learn to efficiently analyze data, formulate hypotheses, and generally reason about what the ocean of data out there is telling you.

You will be able to learn:

• Statistics Foundations: Understanding Probability and Distributions.
• The fundamental topics are essential for understanding probability and statistics.
• Set theory, a non-rigorous introduction to probability.
• An overview of key terms and concepts of statistical research.
• Different statistical distributions, discrete and continuous random variables, probability density functions, and moment generating functions.
• Key distribution measures such as mean and variance, and explore topics of covariance and correlation.

Instructor: Dmitri Nesteruk

Rating: 4.0 out of 5.0

Enroll Now

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11. R Programming for Statistics and Data Science (Udemy)

BESTSELLER

In this online statistics course, you will learn R programming for Data Science & Data Analysis. Applying r for Statistics and Data Visualization with GGplot2 in R.

You will be able to learn:

• The fundamentals of programming in R
• Work with R’s conditional statements, functions, and loops
• Build your own functions in R
• Get your data in and out of the R
• Learn the core tools for data science with R
• Manipulate data with the Tidyverse ecosystem of packages
• Systematically explore data in R
• The grammar of graphics and the ggplot2 package
• Visualize data: plot different types of data & draw insights
• Transform data: best practices of when and how
• Index, slice, and subset data
• Learn the fundamentals of statistics and apply them in practice
• Hypothesis testing in R
• Regression analysis in R
• Work with dummy variables

Requirements:

• Install R Studio.
• All software and data used in the course are free.

Students Enrolled: 28.1K+

Instructor: 365 Careers, 365 Simona

Rating: 4.5 out of 5.0

Enroll Now

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Bonus: Free Online Statistics Course:

These are the Best Online Statistics Courses, and Training available now. If you like to learn and practice business analytics you will need statistics.

It will help you to collect, analyze, interpret, and communicate with data.

Learning statistics with these best Online Statistics Tutorials will assist you in learning statistics with a variety of practical examples.

Happy Learning!

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