Module 1: Analytics
Introductory topics to Analytics
- Analytics Definition
- Applications
- Quiz Module 1
Module 2: R Programming Basics
Understand what is Modeling and how it can be used in Various Domain
- R Environment and R Studio
- Data Management
- Improving functionality with additional packages
- Quiz Module 2
Module 3: Data Structures & Operators
Learn Data Structures, operators & Data Types
- Data Structures
- Operators
- Data Types
- Quiz Module 3
Module 4: Data Management
Learn to manage, reorganize, reshape data, etc
- Subsetting Data
- Restructuring, Reorganizing & Reshaping Data
- Descriptive Statistics
- Quiz Module 4
Module 5: Apply Functions in R
In this module, know all about Loop Family
- Loop Family
- Quiz Module 5
Module 6: Aggregate and Table Functions
Learn Data summarisation using table & aggregate
- Data Summarisation using aggregate
- Data Summarisation using table
- Quiz Module 6
Module 7: Data Manipulation In R
Know all bout data summarisation using dplyr
- Data Summarisation using dplyr
- Quiz Module 7
Module 8: Graphs
In this module, Learn about basic graph introduction,boxplot, pie-chart, etc
- Basic Graph Introduction
- Basic Scatter plot
- Basic Boxplot
- Basic Barplot
- Basic Histogram
- Basic Pie-chart
- Quiz Module 8
Module 9: Advanced Graphs
In this module, learn in detail about advance graph
- Introduction to Advance Graph
- ggplot: scatterplot
- ggplot: barplot
- ggplot: heatmap
- Quiz Module 9
Module 10: Linear Regression
In this module, learn about simple & multiple linear regression
- Simple Linear Regression
- Multiple Linear Regression
- Quiz Module 10
Module 11: Logistic Regression
Learn about logistic regression model, summary of model & predict values
- Logistic regression model
- Summary of model
- Predicting values
- Quiz Module 11
Module 12: Decision Tree Classification
Learn about tree refression, model building, graphical representation, etc
- Decision Tree Regression
- Decision Tree Classification
- Model Building
- Graphical Representation
- Pruning the Tree
- Quiz Module 12
Module 13: Clustering Analysis
In this module, learn about hclust Model Building, Kmeans Model & Calculating Distance
- hclust Model Building
- Kmeans Model
- Calculating Distance
- Quiz Module 13
Module 14: Calculating Distance
Learn about association rule analysis, rule of association, & association rule model
- Introduction to Association Rule Analysis
- Rule of Association
- Association Rule Model
- Quiz Module 14
Module 15: Date Manipulation
Learn Date Manipulation in R, Coding for Date Manipulation & Date Manipulation using Lubridate Package
- Introduction to Date Manipulation in R
- Coding for Date Manipulation
- Date Manipulation using Lubridate Package
- Quiz Module 15
Module 16: Time Series Analysis
In this module, gain understanding on Time Series Data, Create Time Series Data, etc
- Introduction to Time Series Data
- Creating Time Series Data
- Creating Time Series Data using Zoo Package
- Creating Time Series Data using xts Package
- Quiz Module 16
Module 17: Complimentary Module 1: Soft Skills Development
- Business Communication
- Preparation for the Interview
- Presentation Skills
Module 18: Complimentary Module 2: Resume Writing
- Resume Writing

There's a reason that 95% of our alumni undertake 3+ courses as a minimum with Henry Harvin®

Chirodeep Basu
★ ★ ★ ★ ★

Check Proof

Vedant Sharma
★ ★ ★ ★ ★

Eesha Aluwalia
★ ★ ★ ★ ★

Khyati Buntolia
★ ★ ★ ★ ★

Prashant Abrol
★ ★ ★ ★ ★

Nayana P
★ ★ ★ ★ ★

See Proof

Dilran Singh
★ ★ ★ ★ ★