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Statistics for Data Science 101 – Asynchronous Learning
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Statistics for Data Science 101

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About Course

Statistics is the backbone of data science, machine learning, and artificial intelligence – without sound statistical reasoning data that is modeled using any of the previous ideologies may lead to incorrect models, conclusions, and decisions. This course aims to introduce statistical reasoning in the context of data science and model development.  By the end of the course students will have a sound understanding of basic statistical reasoning and be able to discuss and identify common statistical pitfalls in modeling problems.

What Will You Learn?

  • Principles of Statistics for Data Science
  • Correlation and Causation
  • Events and Probability Spaces
  • Monte Carlo Simulation

Course Content

Why is Statistics Important for Data Sience?

  • Why is Statistics Important for Data Sience?
    17:28
  • Why is Statistics Important for Data Science? Readings
  • Why is Statistics Important for Data Science? Quiz

Sampling a Population

Basic Statistics

Correlation and Causation

Events and Probability Spaces

Pitfalls in Statistical Thinking

Monte Carlo Simulation

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