Home Collections 10 Best + Free Statistics Data Science Courses

10 Best + Free Statistics Data Science Courses

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The career prospects in data science, statistics, and “Big Data” are exploding. Big data is nothing without the skills of professionals, who turn leading-edge technology into useful insights. At present, many organizations are opening doors to data science and unlocking its power. This is increasing the value of a data scientist. According to the U.S. Bureau of Labor Statistics, the demand for skills in data science shall initiate a 27.9% increase in employment by the year 2026.

Statistics are used by data scientists to combine, review, analyze, and get results from data along with applying quantified mathematical models to various variables. In this curation,takethiscourse.net has compiled the best Statistics Data Science courses. So, let’s have a look.

# Course Name University/Provider Ratings Duration
1. Introduction to Statistics for Data Science using Python IBM 16 Hours
2. Statistics for Data Science and Business Analysis Udemy ★★★★★4.5 (32,485 Reviews) 05 Hours
3. Statistics for Data Science Course MIT 14 Months
4. Data Science: Statistics and Machine Learning Specialization Johns Hopkins University ★★★★★4.6 (539 Reviews) 144 Hours
5. Statistics Foundations: Using Data Sets LinkedIn ★★★★★4.7 (56 Reviews) 01h 41m
6. Statistics For Data Science Class Coursera Project Network 02 Hours
7. Statistics for Business Analytics and Data Science A-Z™ Udemy ★★★★★4.6 (9,924 Reviews) 06 Hours
8. Advanced Statistics for Data Science Specialization Johns Hopkins University ★★★★☆4.3 (171 Reviews) 40 Hours
9. Statistics for Data Science & Business Analytics Udemy ★★★★☆4.3 (540 Reviews) 14.5 Hours
10. Probability and Statistics in Data Science using Python UCSanDiego 10 Weeks
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Best Statistics Data Science Classes

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Introduction to Statistics for Data Science using Python

      • IBM via edX
      • 04 weeks (3-4 hrs/week) of effort required!
      • Course Type: Self-paced

Introduction to Statistics for Data Science using Python

This course is specially designed to introduce you all to the chief principles of statistical procedures and methods used for data analysis.

  • In this course, you will gain practical knowledge about some important topics in statistics such as data gathering, data summarizing, probability, hypothesis testing, regression, and so on.
  • The best thing about this course is its focus on developing a vivid understanding of the various approaches for different types of data.
  • This course aims to serve a variety of professionals or students who intend to begin their journey in statistics-driven careers like Data analysts and scientists, Business Analysts, researchers, or statisticians.

Coursera Plus Courses

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Statistics for Data Science and Business Analysis

      • 365 Careers via Udemy
      • 149,160+ already enrolled!
      • ★★★★★ (32,485 Ratings)

Statistics for Data Science and Business Analysis

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

Do you wish to gain the quantitative skills needed to become a data analyst or scientist? If yes, then this course “Statistics for Data Science and Business Analysis” is just for you.

  • In this course, you will understand the basics of statistics and shall learn to work with different data types. You will also be calculating various measures of variability, central tendency asymmetry, correlation, and covariance.
  • What makes this course our choice is the fact that it is data-driven, comprehensive, to the point, and contains lots of exercises and resources.
  • This course is for anyone who wants to have a perfect beginning in learning Statistics. It is also for the people who wish to have a career in data science or business intelligence.
I must say that this curse is very well designed, and all the lectures are to the point. It is a beginner friendly course and is ideal for anyone who would like to brush up their knowledge in Stats. (Sourav K, ★★★★★)

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Statistics for Data Science Course

      • MIT via edX
      • 14 Months (10-14 hrs/week) of effort required!
      • Course Type: Instructor-led

Statistics and Data Science

Master the necessary skills required to solve complex data challenges through this program.

  • You will be analyzing huge data and then will do data-driven predictions through probabilistic modeling and statistical inference in this program.
  • As you finish this program, you will be ready for some job titles like Data Scientist, Data Analyst, Business Intelligence Analyst, and Data Engineer which is the best thing about it.
  • It is mainly designed for students who wish to acquire rigorous training in data science.

Related: Best + Free Statistics Courses with Certificates

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Data Science: Statistics and Machine Learning Specialization

      • Johns Hopkins University via Coursera
      • 31,343+ already enrolled!
      • ★★★★★ (539 Ratings)

Statistics and Machine Learning Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

Learn to build models, draw inferences, and deliver data products with this specialization.

  • You will learn how to perform regression analysis, least squares, building and applying prediction functions\, and developing public data products.
  • As you finish this specialization, you shall have developed skills in machine learning, R programming, regression analysis, data visualization, and statistical inferences.
  • The best thing about this specialization is that at completion, learners will have a portfolio displaying their command of the material.
The content in this specialization is very important .It comprises of several statistical concepts. Overall, all the statistics data science courses in this specialization are well explained and I think the team deserves a 5star for all their hard work. (Anonymous learner, ★★★★★)

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Statistics Foundations: Using Data Sets

      • Eddie Davila via LinkedIn
      • 1,880+ already enrolled!
      • ★★★★★ (56 Ratings)

Statistics Foundations - Using Data Sets

Get the core skills in statistics through this practical and example bases course “Statistics Foundations”.

  • In this course, you will learn about data sampling, sample size, standard error, confidence intervals, and hypothesis testing.
  • This course is for anyone who wants to have a deeper understanding of stats and practical implementation in the real world.

Learn Most In-demand Skills

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Statistics For Data Science Class

      • Coursera Project Network via Coursera
      • 02 hours of effort required!
      • Study Level: Beginner

Statistics For Data Science

  • “Statistics for Data Science class” is a guided project in which the learners will get an overview of using statistics in data science.
  • In this guided project, you will understand the distribution of data sets, measuring the spread, and a lot more.
  • By the end of this course, you shall have developed skills in basic descriptive stats, statistical analysis, and general statistics.

continue with more Statistics Data Science Courses…

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Statistics for Business Analytics and Data Science A-Z™

      • Kirill Eremenko via Udemy
      • 55,486+ already enrolled!
      • ★★★★★ (9,924 Ratings)

Statistics for Business Analytics and Data Science A-Z™

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆

Learn the essentials of Stats for a career in data science through this course.

  • In this course, you will get to master the major concepts in statistics such as standard deviations, normal distribution, central limit theorem, hypothesis testing, and confidence intervals. In short, this course gives the A-Z knowledge about stats.
  • The best thing about this course is that this course very practical and is not just another coring course on Stats.
  • This course is for anyone who wishes to learn stats for business analytics or to get hands-on experience in stats.
All I can say about this course is that it is a well explained and detailed course about major statistical concepts. I would recommend it to everyone who are eager to learn this subject in the simplest way. (Krutika S, ★★★★★)

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Advanced Statistics for Data Science Specialization

      • Johns Hopkins University via Coursera
      • 14,840+ already enrolled!
      • ★★★★☆ (171 Ratings)

Advanced Statistics for Data Science Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Good
★★★★☆
Good
★★★★☆
Good
★★★★☆
Fair
★★★☆☆

Acquaint yourself with the basic concepts of probability and statistics through this Specialization.

  • In this specialization, you will learn about data analysis and linear models used in data science. You will also get to understand the matrix of linear regression models.
  • The best thing about this specialization is that it will enable its learners to understand the real mechanism of key modeling tools in data science.
  • This course targets all the aspiring learners who wish to become biostatisticians and data scientists.
The statistics data science courses in this specialization are amazing and they make learning about stats much easier. I have gained much knowledge about various aspects of linear models as well as the coding skills through it. (Anonymous learner, ★★★★★)

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Statistics for Data Science & Business Analytics

      • Mahmoud Ali via Udemy
      • 7,145+ already enrolled!
      • ★★★★☆ (540 Ratings)

MySQL - Statistics for Data Science & Business Analytics

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Good
★★★★☆
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

This course “Statistics for Data Science & Business Analytics” is a complete course on SQL with more than 300+lectures and real-life practical projects.

  • In this course you will learn about Statistics for data analytics, learning to write complex SQL queries, and coding in SQL. You will also learn about sampling distribution and inferential/descriptive statistics.
  • This course is for all beginners in programming and data science, marketing and data analysts, and beginners in SQL databases.
It is indeed a very good course, and the instructor has done a hard work on the presentation and examples. I would highly recommend this course to students who are new to stats and wish to understand the basic concepts quickly. (Smruti M, ★★★★★)

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Probability and Statistics in Data Science using Python

      • UCSanDiego via edX
      • 125,654+ already enrolled!
      • 10 weeks (10-12 hrs/week) of effort required!

Probability and Statistics in Data Science using Python

Learn the probabilistic and statistical approaches with the help of Python through this course.

  • You will learn the basics of probability and statistics in this course. Random variables, dependence, correlation, regression, and PCA are some of the main topics that you shall be covering in this course.
  • The best thing about this course is that it will allow its learners to gain useful insights from data by using Python.

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Final Thoughts

This was all about the best 10 statistics courses on data science. Enroll now in any of the above-mentioned courses, enhance your skills and empower your careers in data sciences. Good luck.