Interested in data science? Unlock the mathematical secrets behind using our list of the Best Free Courses and Classes of 2024. This list will help you build a strong foundation for your future in the field.

Key Takeaways

• A chance to discover Top Data Science Math Courses for 2024.
• You can learn for free and enhance your mathematical foundation.
• Equip yourself with skills that are important for data science success.

What are the best free data science math courses and classes for 2024?

This list of the Best Free Data Science Math Courses for 2024 gives you comprehensive training on essential mathematical concepts. This list will prepare you for advanced data science challenges and that too without any cost.

• Best Online Data Science Math Courses
  • Data Science Math Skills
  • Math for Data science, Data analysis and Machine Learning
  • Algebra and Differential Calculus for Data Science
  • Mathematics for Machine Learning
  • The Data Science Course 2024: Complete Data Science Bootcamp
  • Math for Data Science and Machine Learning
  • The Math of Data Science: Linear Algebra

Data Science Math courses Evaluation & Selection Criteria

Takethiscourse offers a list of Top Free Data Science Math courses that is the end result of thorough evaluations by data science professionals. Our focus is on selecting courses that are taught by skilled instructors, offer practical applications in data science, and cover essential mathematical concepts. We chose each course based on its curriculum quality, applicability of taught skills, and learner feedback. Following such an approach ensures that we give learners access to reliable and impactful educational resources that can bolster their data science proficiency.

Best Online Data Science Math Courses and Classes

Data Science Math Skills

• • • Duke via Coursera
    • 304,449+ already enrolled!
    • ★★★★★ (10,074 Ratings)

This data science math skills course will introduce you to the core math that is required in data science. Here you will be introduced to the unfamiliar ideas and math symbols in a step-by-step guide.

• The best thing about this course is its focus on explaining Venn diagrams and the properties of the real number line. With that, you will also understand what interval notation and algebra with inequalities are.
• This course is for those who have basic math skills and wish to be successful in data science math. Here are the best data science and big data courses at takethiscourse platform that you might also be interested.

More Online Data Science Math Courses & Classes

Math for Data science, Data analysis and Machine Learning

• • • Sandeep Kumar Mathur via Udemy
    • 1,211+ already enrolled!
    • ★★★★★ (27 Ratings)

Interested in learning math essentials for not only data science but data analysis and machine learning? This course will help you understand the foundational concepts of math for data science in detail.

• The reason why we chose this course is its focus on explaining the foundational concepts of not only linear algebra but statistics and geometry as well.
• This course is for those who are interested in understanding the application of key mathematical topics in detail. Check out the best paying data science jobs and desired skills.

Our recent article sheds light on the current data science job market trends, providing readers with actionable insights and strategies for navigating this dynamic field.

Algebra and Differential Calculus for Data Science

• • • University of Colorado via Coursera
    • Study Type: Self-paced
    • 8 hours of effort required!

In this engaging class, the instructor explains how you can identify the difference between a continuous and non-continuous function. Here you will get to practice working with logarithm properties.

• The best thing about this class is its focus on explaining how you can solidify an understanding of what a derivative is calculating. You will also be taught how to use derivatives for creating graphs of functions.
• This class is for those who wish to understand some of the algebra basics and apply the basics of derivatives to graphing and maximizing functions.

Mathematics for Machine Learning

• • • Imperial College London via Coursera
    • 145,442+ already enrolled!
    • ★★★★★ (10,949 Ratings)

The mathematics for machine learning specialization is all about explaining the prerequisite mathematics for applications in data science and machine learning.

• The reason why we chose this specialization is its focus on explaining how you can implement mathematical concepts using real-world data.
• This specialization is for all those who wish to understand mathematics for machine learning and how orthogonal projections work.

The Data Science Course: Complete Data Science Bootcamp

• • • 365 Careers via Udemy
    • 480,550+ already enrolled!
    • ★★★★★ (105,222 Ratings)

This is a very engaging course that introduces you to the entire toolbox required to become a data scientist. You will get to develop all the in-demand data science skills in this course.

• The best thing about this course is its focus on explaining all about statistical analysis and python programming with NumPy and machine learning with stats models.
• This course is for those who wish to learn how to pre-process data and impress interviewers with their understanding of data science.

Learn more about our Applied Data Analysis resources, including the Python Specialization.

Math for Data Science and Machine Learning

• • • AD Chauhdry via Udemy
    • 14,805+ already enrolled!
    • ★★★☆☆ (80 Ratings)

This class will help you learn math for data science in the best possible manner. You will also learn a lot about math for linear algebra, calculus, and statistics.

• The best thing about this class is its focus on explaining Gauss’s elimination method. With that, you will also understand what echelon and reduce echelon form is.
• This class is for all those who wish to understand all about linear transformation, Eigenvalues, and much more in detail.

The Math of Data Science: Linear Algebra

• • • RICE via edX
    • Study Type: Self-paced
    • 8 weeks (6-8 hours / week) of effort required!

This course is going to give you a detailed introduction to linear algebra. You will get to understand the different objects of linear algebra in detail.

• The reason why we chose this course is its focus on explaining the relationships between linear equations and matrices and linear transformations.
• This course is for those who wish to understand the principles of vector and matrix operations in detail.

Final Thoughts

Math for data science can be confusing and tough but not impossible to learn at the same time. This list of free data science courses as we believe is a convenient way for learners to understand what they are looking for.