Introduction To Data Science
  • Introduction
  • Data Generation And Information Age
  • Big Data And Getting Drenched In Data
  • Why Data Science.....?
Basic Statistics
  • Data Types And Preliminaries
  • Random Variable
  • What Is Probability...?
  • Probability Distribution
  • Recap Of Concepts And Probability Applications
  • Sampling Funnel
  • Measures Of Central Tendency
  • Measures Of Dispersion
  • Measures Of Dispersion Part-2
  • Excpected Value And Variance For Discrete Data
  • Preliminaries Of R and RStudio
  • Various Components And Basics Of RStudio
  • Data Visualization Using R-Barplot,Histogram,Skewness
  • 3rd And 4th Moment Business Decision
  • Recap And Box Plot
  • Normal Distribution-Part 1
  • Normal Distribution-Part 2 & Standarad Normal Distribution
  • Standard Normal Distribution -Part 2
  • Calculating Probabilities From Z-Distribution
  • Sampling Variation, Sample size & Central Limit Theorem
  • Normal Quantile Plot (Q-QPlot)
  • Recap Confidence Interval
  • Confidence Interval Z-Distribution Part-1
  • Confidence Interval Z-Distribution Part-2
  • Confidence Interval Interpretation
  • Confidence Interval T-Distribution
  • Recap Basic Statistics
  • Confidence Interval In Data Science
  • EXPLORATORY DATA ANALYSIS IN DATA SCIENCE
  • Quiz-2
Hypothesis Testing Introduction
  • Hypothesis Testing Introduction
  • Hypothesis Testing Formulation
Hypothesis Testing- Parametric
  • 2 Sample T-Test Part-1
  • 2 Sample T-Test Part-2
  • 2 Sample T-Test Part-3
  • 1 Sample Z Test Part-1
  • 1 Sample Z Test Part-2
  • 1 Sample T Test
  • One Way ANOVA Part-1
  • One Way ANOVA Part-2
  • One Way ANOVA Part-3
  • ANOVA-Intuition Part 1
  • ANOVA-Intuition Part 2
  • ANOVA-1,2 Multiple Way
  • Tukey Pairwise Comparisons Part-1
  • Tukey Pairwise Comparisons Part-2
  • 2 Proportion Test
  • Chi Square Test
  • Quiz 3
Hypothesis Testing-Non Parametric
  • 1 Sample Sign Test
  • Mann Whitney Test
  • Paired T Test Assumption
  • Paired T Test
  • Moods Median Test
BASICS OF R-PROGRAMMING
  • Basic Programing Using R Part 1
  • Basic Programing Using R Part 2
  • Basic Programing Using R Part 3
  • Basic Programing Using R Part 4
  • R Programming Case Study Part 1
  • R Programming Case Study Part 2
  • R Programming Case Study Part 3
  • R Programming Case Study Part 4
  • Stastical Packages In R
  • R Programming Case Study Using Inbuilt Datasets
  • Case Study On Data Visualization Using R Part 1
  • Case Study On Data Visualization Using R Part 2
  • Case Studay On Data Visualization Using R Part 3
  • Case Study On Data Visualization Using R Part 4
  • Recap Exploratory Data Analysis
  • Must Know Packages For a Successful Data Scientist
  • Quiz 4
Predictive Analytics
  • Scatter Diagram
  • Correlation Coefficient
  • Simple Linear Regression Introduction
  • Simple Linear Regression Using R -Part 1
  • Simple Linear Regression Using R - Part 2
  • Simple Linear Regression Using R - Part 3
  • Simple Linear Regression Using R - Part 4
  • Multiple Linear Regression Introduction
  • Multiple Linear Regression Using R - Part 1
  • Multiple Linear Regression Using R - Part 2
  • Multiple Linear Regression Using R - Part 3
  • Recap Linear Regression
  • Understanding Logistic Regression Concepts
  • Logistic Regression Part 1
  • Logistic Regression Part 2
  • Logistic Regression Part 3
  • Logistic Regression Part 4
  • Logistic Regression-Logistic Function Representation