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)
Udemy
platform
English
language
Data Science
category
instructor
Math for Data Science Masterclass
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

Course Gallery

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Comidoc Review

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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course submited by