Statistics is a discipline that we know is concerned with the collection, organization, analysis, and interpretation and presentation of the data. If you wish to apply the fundamentals of statistics to a scientific, industrial, or even a social problem then it is important to always begin with a statistical population or model.
Did you know?
According to the Bureau of Labor and Statistics;
- There are around 38,860 employed statisticians.
- The mean hourly wage of a person working as a statistician is $46.72.
- Whereas the mean annual wage of a statistician is around $97,170.
To understand all the fundamentals of statistics and start a career in this field, our team at takethiscourse.net has compiled a list of 10 Best Free Statistics Courses with Certificates. This list contains highly engaging and high rated statistics courses along with certificates. So let us take a look at this list. Don’t miss the opportunity to discover free statistical training that can boost your analytical capabilities.
- Best Free Statistics Courses with Certificates
- Fundamentals of Statistics
- Introduction to Statistics
- Statistics and R
- Inferential Statistical Analysis with Python
- Fitting Statistical Models to Data with Python
- Statistical Thinking for Data Science and Analytics
- Methods and Statistics in Social Sciences Specialization
- Making Sense of Data in the Media
- Advanced Statistics for Data Science Specialization
- Business Statistics and Analysis Specialization
Best + Free Statistics Courses with Certificates
Below you can find all the details about 10 Best Free Statistics Courses with Certificates:
Fundamentals of Statistics
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- MIT via edX
- 126,423+ already enrolled!
- 18 weeks (10-14 hours/week) of effort required!
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This “Fundamentals of Statistics” course will help you understand how to construct estimators using the method of moments and maximum likelihood. You will get to understand how to decide between them.
- The best thing about this course is its focus on explaining how to quantify uncertainty using confidence intervals and hypothesis testing as well.
- This course has been designed for all those individuals out there who wish to learn to make prediction using linear, nonlinear, and generalized linear models.
Introduction to Statistics
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- Stanford via Coursera
- 98,786+ already enrolled!
- ★★★★★ (741 Ratings)
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Excellent ★★★★★ |
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In this class, you will get to understand all the statistical thinking concepts in detail. These concepts play a vital part in learning from data and communicating insights.
- The best thing about this class is its focus on explaining how to perform exploratory data analysis and explaining the key principles of sampling.
- This course is best for those who are interested in gaining the foundational skills to prepare themselves for the advanced statistical topics.
Statistics and R
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- Harvard via edX
- 376,800+ already enrolled!
- 4 weeks (2-4 hours/week) of effort required!
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This is a type of course that will first give you an introduction to the basic statistical concepts and help you understand the R programming skills required for analyzing data in life sciences.
- The reason why we chose this course is its focus on explaining all about the random variables and what exploratory data analysis is.
- This course is suitable for those who wish to understand what non-parametric statistics is and all other concepts involved in statistics and R.
Inferential Statistical Analysis with Python
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- University of Michigan via Coursera
- 32,173+ already enrolled!
- ★★★★★ (768 Ratings)
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Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ |
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In this engaging course, you will be taught how to determine assumptions which are required to calculate confidence intervals for population parameters.
- The best thing about this course is its focus on explaining how inferential procedures can be applied and interpreted step-by-step while analyzing real data.
- This course is for those who wish to understand how to run hypothesis tests in Python and then interpret the results.
Fitting Statistical Models to Data with Python
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- University of Michigan via Coursera
- 25,870+ already enrolled!
- ★★★★☆ (587 Ratings)
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Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ |
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This class aims to help learners explore the statistical inference techniques by focusing on the science and art of fitting statistical models to data.
- The reason why we chose this class is its focus on exploring the various statistical modeling techniques.
- This class is for those who wish to understand the relationship between variables and generating predictions for future observations.
Enhance your data analysis skills by exploring our Best Statistical Modeling Training Courses.
Statistical Thinking for Data Science and Analytics
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- Columbia University via edX
- 212,738+ already enrolled!
- 5 weeks (7-10 hours/week) of effort required!
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This “Statistical Thinking for Data Science and Analytics” class aims to help you learn how statistics play a vital part in the data science approach. Here you will understand all about data collection, data analysis, and inference in detail.
- The best thing about this class is its focus on explaining how to use Bayesian modeling and inference for forecasting public opinion.
- This class is for all those interested in understanding the basics of linear regression. Those who wish to understand how to judge the event probability can also join this class.
Dive into the fascinating subject of probability with our selection of recommended courses, providing a pathway to enhancing your skills through “Free Probability Courses.
More Best Statistics Courses with Certificates
Methods and Statistics in Social Sciences Specialization
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- University of Amsterdam via Coursera
- 78,379+ already enrolled!
- ★★★★★ (3,659 Ratings)
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Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ |
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Good ★★★★☆ |
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This engaging yet challenging specialization is going to help you identify the very interesting questions and analyzing data sets in detail.
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- The best thing about this specialization is its focus on explaining how to interpret results correctly to make solid and evidence-based decisions.
- This specialization is for those who wish to understand all about the design and statistical analysis for social science research questions.
Making Sense of Data in the Media
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- University of Sheffield via Futurelearn
- 14,513+ already enrolled!
- ★★★★★ (40 Ratings)
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Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ |
Excellent ★★★★★ |
Good ★★★★☆ |
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This highly informative class will help you discover how to not only read but understand the data in the media. With that, you will learn to spot fake news that is based on misleading statistics.
- The best thing about this class is its focus on explaining how to recognize the size of numbers being reported in the media.
- This class is for those who wish to understand how to report change and risk and how social statistics are created.
Advanced Statistics for Data Science Specialization
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- John Hopkins University via Coursera
- 12,540+ already enrolled!
- ★★★★☆ (146 Ratings)
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Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ |
Excellent ★★★★★ |
Good ★★★★☆ |
Fair ★★★☆☆ |
This “Advanced Statistics for Data Science Specialization” aims to help learners understand all about probability, expectations, and conditional probabilities in detail. With that, you will get to understand all about distributions, confidence intervals, and bootstrapping. Unlock the potential of data science with our guide to Statistics in Data Science Education, featuring recommended courses tailored to your learning journey.
- The reason why we chose this specialization is its focus on explaining all about the matrix algebra of linear regression models.
- This specialization is suitable for all those individuals out there who wish to learn all about the canonical examples of the linear models.
Business Statistics and Analysis Specialization
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- RICE via Coursera
- 65,820+ already enrolled!
- ★★★★★ (6,515 Ratings)
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Online Course Effectiveness Score | |||
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ |
Excellent ★★★★★ |
Good ★★★★☆ |
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This is a very engaging specialization where you will get to develop data analysis and business modeling skills. Here you will gain the ability to apply statistics and data analysis tools in a variety of applications.
- The best thing about this specialization is its focus on explaining how you can master the essential spreadsheet functions and build descriptive business data measures.
- This specialization as we believe is suitable for all those who are interested in exploring the basic probability concepts and the linear regression model.
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Final Thoughts
To all those individuals who wish to understand statistics from the comfort of their home. This list of 10 Best Free Statistics Courses with Certificates has everything you need to get started with statistics. So enroll in a course today and never stop learning.