Syllabus

  • What is data
  • Types of variables
  • Measurement of Central Tendency
  • Measures of Dispersion
  • Co-variance, Correlation
  • Assignments
  • What is probability
  • Permutations & Combinations
  • Intersections, unions, Combinations
  • Independent & Independent Variables
  • Conditional probability
  • Bayes theorem
  • Assignments
  • Introduction to Discrete Probability distributions
  • Uniform Distribution
  • Bernoulli and Binomial Distribution
  • Poisson Distribution
  • Assignments
  • Introduction to Discrete Probability distributions
  • Normal Distribution
  • t Distribution
  • Chi-square Distribution
  • F Distribution
  • Assignments
  • Sampling
  • Central limit theorem
  • Normal approximation
  • What is Testing of hypothesis
  • Type I error & Type II error
  • Critical region, P-value, Z-value, t-value
  • Proportional test, t test, z test
  • Chi-square test
  • Assignments
  • What is ANOVA
  • Examples of ANOVA
  • Assignments
  • What is Regression analysis
  • Linear regression
  • Assumptions of Linear regression
  • Examples of Linear Regression
  • Hands-on Linear Regression using Python
  • Assignments

Key Features

End to end case studies
Build your portfolio
Mock interview
Q & A Session
Assignments
Certification and Job assistance

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