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Regression, Data Mining, Text Mining, Forecasting using R

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 Aad R Studio
Various Components And Basics Of R Studio
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, Samplesize & Central Limit Theorm
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
ANOVA Part 1
ANOVA Part 2
Recap Basic Statistics
Quiz-2
17 questions


Hypothesis Testing Introduction :
Hypothesis Testing Introduction
Hypothesis Testing Formulation
Hypothesis Testing- Various Types Of Tests


Hypothesis Testing- Parametric :
2 Sample T-Test Part-1
2 Sample T-Test Part-2
2 Sample T-Test Part-3
One Way ANOVA Part-1
One Way ANOVA Part-2
One Way ANOVA Part-3
ANOVA-1,2 Multiple Way
2 Proportion Test
Recap Hypothesis Testing
1 Sample Z Test Part-1
1 Sample Z Test Part-2
1 Sample T Test
1 Sample Sign Test
Paired T Test
Tukey Pairwise Comparisons Part-1
Tukey Pairwise Comparisons Part-2
Quiz 3
9 questions


Hypothesis Testing-Non Parametric :
Chi Square Test
Mann Whitney Test
Paired T Test Assumption
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
Quiz 4
1 question


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
Logistic Regression Part 5
Logistic Regression- Confusion Matrix
Logistic Regression-ROC
Quiz 5
11 questions


Data Mining/Clustering Using R :
Introduction To Clustering
Types Of Data Mining Techniques
Hierarchical Clustering Introduction
Hierarchical Clustering Case Study
Calculating Distance For Categorical Data
Calculating Distance For Mixed Data With Case Study
Calculating Distance For Mixed Data Case Study Part 2
Calculating Distance Between Clusters With Case Study
Hierarchical Clustering Synopsis
Hierarchical Clustering Using R Part 1
Hierarchical Clustering Using R Part 2
K Means Clustering Introduction
K Means Clustering Using R - Part 1
K Means Clustering Using R - Part 2
K Means Clustering Using R - Part 3
K Means Clustering Using R - Part 4
Summary Of K Means Clustering
Difference Between K Means And Hierarchical
K Means Clustering Case Study
Recap Data Mining Clustering
Quiz 6
21 questions


Dimension Reduction :
Dimension Reduction Introduction
Dimension Reduction Applications
PCA Key Benefits
PCA Intuition
PCA Preliminaries And Weights
Standardize Variables And PCA Calculation
PCA First Goal
PCA Second Goal
PCA Third Goal And Additional Benefits
Quiz-7
9 questions


Association Rules :
Association Rules Introduction
Market Basket Analysis
Association Rules Part 1
Association Rules Part 2
Association Rules-Case Studay And Terminology
Association Rules-Performance Measures And Support Calculation
Association Rules-Confidance Calculation
Association Rules-Lift Calculation
Association Rules-Rules Selection Process And Applications
Quiz-8
9 questions


Recommendation System :
Recommendation System Introduction
What Item To Recommend
Recommender System Disadvantages
Recommendation Reduction Process
Recap Dimension Reduction And Association Rules
Quiz-9
4 questions


Text Mining Using R :
Introduction,Importance And Bag Of Words Representation
Terminology And Preprocessing Of Data
DTM And TDM Format
Corpus Level Word Cloud
Brief Case Study On Real Project Part 1
Brief Case Study On Real Project Part 2
Twitter Data Extraction Using R
Amazon Data Extraction Using R
Recap Text Mining
Quiz-10
7 questions


Forecasting Using R and XL Miner :
Forecasting Introduction and Agenda for Introduction
Who Forecasts ?
Forecasting Strategy-Defining goal
Forecasting-Data Collection and Various components
Forecasting Seasonal, Trend, Random components
Forecasting-Data Exploration & Visualization
Forecasting-Data Visualization Principles
Forecasting-Error measures
Exploratory Data Analysis Using Walmart Footfalls Example Part-1
Exploratory Data Analysis Using Walmart Footfalls Example Part-2
Evaluating Predictive Accuracy
Forecasting Different Methods
Quiz-11
14 questions


Forecasting Model Based Approaches :
Forecasting Methods-Linear Model
Forecasting Methods-Exponential, Quadratic and Additive Seasonality Models
Forecasting Methods- Additive seasonality with trend,Multiplicative seasonality
Forecasting-Irregular Components.
Recap Understanding Forecasting


Forecasting Data Driven Approaches :
Forecasting Autocorrelation Model
Forecasting-Model Based Approach VS Data Driven Approach
Forecast Methods based on Smoothing
Forecast Methods Exponential Smoothing
Forecast Data Driven- Holts and Winter Method
Forecast Data Driven-Seasonal Indexes
Forecast Seasonal Indexes,Centered Moving Average Hands On
Forecasting -Logistic Regression using XLminer
Frequently Bought Together