Statistics for Analyst

Statistics for Analyst

Pre-requisies

Dedication

Basic knowledge of Mathematics

Resource Material

Download our exclusive resource for a particular topic for your reference.

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Always remember applying for the position of Data Scientist doesn’t just require you to know the Tensor flow or some other machine learning frame work, what you require is to know the math behind an algorithm. You required to know how a cost function of a linear regression model is optimized, or what does the decision function for a linear SVM classifier do? and even many more the list
will go on…

Some of the important mathematics topics we are going to cover here. The list of the topics and respected links are available below. If you need some other topics or suggestions just ping us through suggestions page.

HAPPY LEARNING !🚀🚀🚀


CONTENTS

(CLICK on the link to redirect to the respective topics)

1) Introduction

2) Basics of Probability

  • Combinatorics
  • Bayesian Interference

Statistics for Data Science

Inferential Statistics

  • How are distributions used?
  • Binomial distribution
  • Poisson distribution
  • Geometric distribution
  • Bernoulli distribution
  • Log normal distribution
  • Power Law Distribution
  • Introduction to Confidence Interval (C.I)
  • Computing Confidence Interval given Underlying distribution
  • Confidence Interval for mean of random normal variate
  • Bootstrapping
  • Applications of Bootstrapping

Hypothesis Testing

  • Introduction to Hypothesis testing
  • Central Limit Theorem
  • z-test for Hypothesis Testing
  • t-test for Hypothesis Testing
  • p-value test for Hypothesis Testing
  • Chi-square test for Hypothesis Testing
  • Applications of Hypothesis Testing

Advanced Statistics

  • F-statistics
  • ANNOVA testing
  • A/B Testing