3 Best + Free Data Science Math Courses & Classes [2020]

Best Data Science Math course tutorial class certification training online

After conducting in-depth research, our team of 30+ experts compiled this list of Best Data Science Math Courses, Classes, Tutorials, Training, and Certification programs available online for 2020. This list includes both free and paid courses to help you learn Data Science Math. Also, it is ideal for beginners, intermediates, as well as experts. Have a look at our Best Mathematics Courses.

 

Best + Free Data Science Math Courses & Classes [2020]

1. Data Science Math Skills by Duke University (Coursera)

Created by expert instructors at Duke University, this course is designed to help you learn the basic math that you will need to be successful in data science programs. It majorly focuses on improving your algebra and pre-calculus skills, which are required in data science. During the program, you will get introduced to the core math upon which data science is built, as well as you will learn about unfamiliar ideas and math symbols one-at-a-time. The course is included with various video lectures, theories, graded quizzes, assignments, practice exercises, and much more to help you gain maximum knowledge from it.

 

Key USPs –

– Master the notation, vocabulary, concepts, and algebra rules that every data scientist should know before learning other advanced material.

– Learn a wide variety of topics, such as set theory, Venn diagrams, properties of the real number line, uses for summation and sigma notation, graphing and describing functions and their inverses on the x-y plane.

– Learn about the concepts of instantaneous rate of change and tangent lines to a curve, exponents, logarithms, and the natural log function.

– Learn how to apply derivative concepts to the real-world problem of optimization with live examples and definitions.

– Prepare yourself from your comfort zone without any deadlines.

 

Duration: 13-14 hours

Rating: 4.5 out of 5

You can Sign up Here

 

Review: This is a neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you, Professor. – PS.

 

2. Mathematics for Data Science Specialization by National Research University (Coursera)

This is a specialization program that consists of four different courses, each of which is designed to help you learn the math behind data science. Taking this specialization program will help you cover a wide variety of mathematical tools and see how they arise in Data Science. Besides, you will also learn about some of the most critical fields of math, such as discrete mathematics, calculus, linear algebra, and probability. The program is developed by experienced professionals of the National Research University of Higher School of Economics. The instructors of the program will help you throughout the program via live sessions or email so that you get to the depth of each concept.

 

Key USPs –

– Get a brief introduction to combinatorics, the branch of mathematics that is crucial for every individual working in the data analysis or computer science.

– Avail relevant notions from the graph theory and learn how to illustrate them on the graphs of social networks while studying the basic properties.

– Study the limits and integration of calculus while building a base for the basic optimization.

– Access multiple video lectures, quizzes, practice exams, hands-on exercises, and graded assignments that are provided to improve your knowledge.

 

Duration: 6 months, 4 hours/week

Rating: 4.3 out of 5

You can Sign up Here

 

3. Mathematics for Data Science and Machine Learning (Udemy)

Designed by Eduonix Learning Solutions, this is an introductory course that will help you learn the fundamental mathematics for Data Science, AI, and ML by using the R language. In this course, you will learn almost everything about the foundational mathematics for data science with R programming language, which is used explicitly for performing statistics, data analytics, and graphical modules in a better way. During the course, you will also cover some of the essential topics of mathematics, such as linear algebra, section calculus, vector calculus, etc. After finishing this program, you will be able to learn the advanced concepts of mathematics that are compulsory to become a successful data scientist or data analyst.

 

Key USPs –

– A practical guide that contains hand-picked topics related to the concepts of foundational mathematics for Data Science using R programming.

– Includes various sections with 9 hours of video content that are created by an experienced data scientist – Timothy Young.

– Learn different concepts of Data science maths in the simplest manner with an understanding of the foundational mathematics.

– Included with some quizzes, assignments, practice exercises, real-world examples, and much more to provide you with maximum knowledge of mathematics and R programming.

 

Duration: 10-11 hours

Rating: 4.4 out of 5

You can Sign up Here

 

Review: It’s a lot to absorb, and I’m glad I’ll be able to come back for refreshers. Having said that, the instructor really knows the material, and he comes across very well. I’m glad I took this course. – Charles Smith.

 

 

These were the Best Data Science Math Courses, Classes, Tutorials, Training & Certification program available online. We hope you found what you were looking for. Wish you a Happy Learning!