Module 1: Introduction to Business Analytics
  • Introduction to Business Analytics
  • Data Science and its importance
Module 2: Introduction to R
  • Introduction to R
  • Installing R
  • Installing R Studio
  • Workspace Setup
  • R Packages
    Module 3: R Programming
  • R Programming
  • if & for statements
  • while & repeat statements
  • break and next statements
  • switch & scan statement
  • Executing the commands in a File

Module 4: R Data Structure
  • Data structures
  • Vector
  • Matrix
  • Array
  • Data frame
  • List
  • Factors
Module 5: Apply Functions
  • DPLYR & apply Function
  • Import Data File
  • DPLYP - Selection
  • DPLYP - Filter
  • DPLYP - Arrange
  • DPLYP - Mutate
  • DPLYP - Summarize
Module 6: Data Visualization
  • Data visualization in R
  • Bar chart, Dot plot
  • Scatter plot, Pie chart
  • Histogram and Box plot
  • Heat Maps
  • World Cloud

Module 7: Introduction to Statistics
  • Introduction to statistics
  • Type of Data
  • Distance Measures (Similarity, dissimilarity, correlation)
  • Euclidean space & Cosine similarity
  • Manhattan & Minkowski
  • Mahalanobis distance
  • Pearson's correlation coefficient
  • Probability Distributions
Module 8: Hypothesis Testing I
  • Hypothesis Testing
  • Introduction
  • Hypothesis Testing - T Test, Anova
Module 9: Hypothesis Testing II
  • Hypothesis Testing about population
  • Chi Square Test
  • F distribution and F ratio
Module 10: Regression Analysis
  • Regression
  • Linear Regression Models
  • Non Linear Regression Models
Module 11: Classification
  • Classification
  • Decision Tree
  • Logistic Regression
  • Bayesian
  • Support Vector Machines

Module 12: Clustering
  • Clustering
  • K-means Clustering and Case Study
  • DBSCAN Clustering and Case study
  • Hierarchical Clustering
Module 13: Association
  • Association
  • Apriori Algorithm
  • Candidate Generation
  • Visualization on Associated Rules
  • Summary
  • Conclusion

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Course Details

Python programming
Introduction to R
R Programming
R Data Structure
Apply Functions etc.

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Important Dates

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

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