The Data Science Course 2020 Q2 Updated: Part 3

The Data Science Course 2020 Q2 Updated: Part 3

Building on the Foundation: Binomial & Normal Distribution, CRISP DM, Anova, Matrices, Coordinate Geometry, Calculus

What you’ll learn

  • You will understand the concept of Binomial Distribution using examples
  • You will learn more on Continuous Random Variables
  • You will learn what Normal Distribution is using examples
  • You will understand the Z table Distribution
  • You will get clarity on Central Limit Theorem – CLT and how CLT is used.
  • You will understand what Decision Making is and how it is used
  • You will learn on CRISP DM Framework
  • You will learn the concept of Test of Hypothesis- TOH and Statistical methods
  • You will learn what is Anova- Analysis of variance and its application
  • You will also learn the basics of Matrices, Coordinate Geometry, Calculus & Algebra

Requirements

  • No prior experience is required. We will start from the very basics. You will benefit by going through our part 2 course which lays the foundation
Who this course is for:
  • The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
  • You should take this course if you want to become a Data Scientist or if you want to learn about the field

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