Regression, Data Mining, Text Mining, Forecasting using R

Udemy

Master R to become proficient in regression techniques, data mining, forecasting, and text mining.

Online

₹ 399 2299

particular

details

                                    Medium of instructions
                                    English

                                    Mode of learning
                                    Self study

                                    Mode of Delivery
                                    Video and Text Based

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
Expected 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 & Standard 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
Mood's 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
Statistical 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 Study 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
Logistic Regression Part 5
Logistic Regression- Confusion Matrix
Logistic Regression-ROC
Logistic Regression-ROC Case studies part 1
Logistic Regression-ROC Case studies part 2
Binary Logistic Regression Interpretation
Quiz 5
Regression Analysis Knowledge check

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

Clustering on Mixed Data

Mixed data-Dummy variable creation for Categorical variables
Mixed data-Normalizing entire data to a scale of 0 to 1
Mixed data - Distance Matrix, Hierarchy and Dendrogram
Mixed data-Hierarchical clustering and interpretation
Mixed data-Scree plot / Elbow curve part1
Mixed data-Scree plot / Elbow curve part2
Mixed data-K Means clustering and Insights

High Dimension Data Analysis - 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

Relationship Mining - Association Rules

Association Rules Introduction
Market Basket Analysis
Association Rules Part 1
Association Rules Part 2
Association Rules-Case Study And Terminology
Association Rules-Performance Measures And Support Calculation
Association Rules-Confidence Calculation
Association Rules-Lift Calculation
Association Rules-Rules Selection Process And Applications
Quiz-8

Recommendation System

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

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

Forecasting Using 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

Bonus: 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

Bonus: 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
Whats Next.....?

Interview Q&A's

Interview Q&A's - phase1
Interview Q&A's - phase2

Popular Courses

Popular Platforms

Popular Searches

Regression, Data Mining, Text Mining, Forecasting using R

Online

₹ 399 2299

Quick Facts

Course overview

The highlights

Program offerings

Course and certificate fees

Fees information

certificate availability

certificate providing authority

Who it is for

What you will learn

The syllabus