Math for Data Science Masterclass
Learn about probability, statistics, and more using the mathematics that are foundational to the field of data science.
4.74 (1359 reviews)

15 765
students
16 hours
content
Jan 2025
last update
$99.99
regular price
What you will learn
Understand core concepts about data quality and quantity
Learn about how to measure data with statistics
Discover how to visualize data with a variety of plot types
Use combinatorics to calculate permutations and combinations of objects
Understand the key ideas in using probability to solve problems
Learn how to use data distributions with real world data
Discover the powerful insights from the normal distribution
Use sampling and the central limit theorem
Understand hypothesis testing on sample groups
Cover the basics of linear regression
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Our Verdict
Excelling in both breadth and depth, the Math for Data Science Masterclass stands out with its comprehensive curriculum and engaging instructors. Highlighting a variety of data science applications, this course effectively bridges the gap between mathematical theory and practical implementation. While minor improvements can be made to address redundancy and exercise design, these shortcomings don't deter from the overall value it offers as an exceptional resource for aspiring data scientists.
What We Liked
- Wide-ranging course content covering foundational mathematics for data science
- Knowledgeable and articulate instructors making complex concepts accessible
- Real-world examples provided to apply theoretical knowledge to practical scenarios
- Well-structured course material with a suitable pace for beginners and backgrounded learners
Potential Drawbacks
- Some users may desire more simplified explanations or detailed guidance in derivations
- Occasional repetition can be seen as verbose and distracting for some users
- Practice problems could benefit from better design to reinforce course material
Related Topics
4849126
udemy ID
24/08/2022
course created date
02/11/2022
course indexed date
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