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