Top Online Statistics
Courses in 2021

HSE University is one of the best research institutes in Russia. While it is based in Russia, it offers global courses in English. HSE partnered with Coursera to create this Probability Theory, Statistics and Exploratory Data Analysis course.

For this course, you should have a background in probability and statistics. It will also help if you know calculus and discrete mathematics. The course focuses on the major statistics and probability theories necessary to launch your career in data science. You’ll also learn more about data analysis and data visualization in Python.

This program is designed to equip students with job-ready skills for entry-level positions as data analysts. This certificate is a good item to put on your resume if you’re ready to enter the field.

The course runs for about 11 months. During this time, you’ll work with data extraction and data analysis tools. Such tools include Microsoft Excel, SQL, IBM Cognos Analytics, Jupyter Notebooks, and Python. Although the course focuses on programming languages and statistical skills, you don’t need any prior experience or knowledge to enroll.

This introductory course is offered by the Massachusetts Institute of Technology and delivered online through edX. The course is designed to help students develop a deep understanding of the basics of statistics, making it ideal for beginners.

By the end of this statistics course, you’ll have learned how to construct estimators using the method of moments, make predictions using linear and nonlinear models, and interact with different models using the goodness-of-fit test.

This course is designed to teach you the science of decisions. It is split into two parts: descriptive and inferential statistics. It covers statistical analysis, introduction to statistics and methods, correlation, regression, and non-parametric.

However, if you are new to statistics, you might be better off starting with other introductory courses, as the course requires interested students to have a basic comprehension of math. If you already know the basics and want to become a business intelligence analyst, then you should enroll.

All you need to start this course is a basic familiarity with computers and related software. This makes it perfect for those looking to kickstart their careers. It only takes 15 hours to complete, and you can set your own deadlines.

This course covers an introduction to descriptive statistics, probability, binomial distribution, regression, and analysis of categorical data. You’ll get a certificate upon completing the course that you can share on your LinkedIn profile or resume.

This free course from Stanford is designed to help aspiring statisticians get started in the field. This course does not rely heavily on math and instead uses computer programming with R to organize data.

This program covers the following statistical concepts: linear and polynomial regression, linear discriminant analysis, concepts in data analysis, and R. The course is available for free from edX.

All that is required to enroll in this introductory course from Udemy is a willingness to learn and practice. If you are looking to break into the business analysis world with a strong focus on data, you should consider this course.

The online course will introduce you to the fundamentals of statistics and teach you more about correlation, covariance, regression analysis, measures of central tendency, and hypothesis testing.

According to Coursera’s official website, 28 percent of those who took this course had a tangible career benefit. Thirty-eight percent of those who completed this course started a new career. For such reasons, you should consider enrolling in this beginner course.

In about 27 learning hours, you can learn about correlation, regression, probability, probability distributions, sampling distributions, hypothesis testing, and confidence intervals. These are all key fundamentals of statistics.

This online course is designed to train students on core aspects of probability and statistics. In about 16 lecture hours, you can learn about the science of decision-making and describing the world using statistics.

If you’re interested in statistics and don’t know where to start, this is a great option. It requires no prerequisites or previous math skills. You will earn a shareable certificate at the end of the course.

Probability is a core aspect of statistics and data science. Students looking to further their education can take this course and use it toward academic credit when studying at the University of Colorado Boulder. However, the course is designed for advanced learners. You can use it as part of your Master’s Degree in Data Science.

By the end of the course, you’ll be able to explain the relationship between statistics, data science, and probability. Among other things, you’ll learn more about conditional probability, joint distributions, and covariance.