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Statistics for Data Science

  • Number of Courses6 courses
  • Duration20 hours

Interested in learning more about the statistical knowledge you need as a data scientist? This learning path covers the core statistics concepts you should learn whether you're preparing to become a data scientist or are already a data scientist.

Courses in this path

Statistics for Data Science

Watch the following courses to get started.

Statistics Foundations: Understanding Probability and Distributions

  • by Dmitri Nesteruk
  • 4h 24m Duration
  •  (85)

Understanding and Applying Numerical Optimization Techniques

  • by Vitthal Srinivasan
  • 3h 59m Duration
  •  (18)

Understanding and Applying Financial Risk Modeling Techniques

  • by Vitthal Srinivasan
  • 2h 52m Duration
  •  (21)

Understanding and Applying Logistic Regression

  • by Vitthal Srinivasan
  • 2h 22m Duration
  •  (35)

Understanding and Applying Factor Analysis and PCA

  • by Vitthal Srinivasan
  • 2h 35m Duration
  •  (44)

Understanding and Applying Linear Regression

  • by Vitthal Srinivasan
  • 4h 12m Duration
  •  (76)

Learn with the best

Dmitri Nesteruk
Dmitri Nesteruk
Dmitri Nesteruk is a quantitative analyst, developer, speaker, and podcaster. His interests lie in software development and integration practices in the areas of computation, quantitative finance, and algorithmic trading. He is an instructor of an entry-level course in Quantitative Finance. His technological interests include C#, F#, and C++ programming as well high-performance computing using technologies such as CUDA. He has been a C# MVP since 2009.
Vitthal Srinivasan
Vitthal Srinivasan
Vitthal has spent a lot of his life studying - he holds Masters Degrees in Math and Electrical Engineering from Stanford, an MBA from INSEAD, and a Bachelors Degree in Computer Engineering from Mumbai. He has also spent a lot of his life working - as a derivatives quant at Credit Suisse in New York, then as a quant trader, first with a hedge fund in Greenwich and then on his own, and finally at Google in Singapore and Flipkart in Bangalore. In all these roles, he has written a lot of code, and b... more

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