Course Content

Data Analytics with R Certification

Introduction to Data Analytics

Introduction to R Programming

Data Manipulation in R

Data Import Techniques in R

Exploratory Data Analysis

Data Visualization in R

Data Mining: Clustering Techniques

Data Mining: Association Rule Mining & Collaborative filtering

Linear and Logistic Regression

Anova and Sentiment Analysis

Data Mining: Decision Trees and Random Forest

Project Work

Learning Objectives - This module discusses various concepts taught throughout the course and their implementation in a project. Topics - Analyze census data to predict insights on the income of the people, based on the factors like: age, education, work-class, occupation using Decision Trees, Logistic Regression and Random Forest. Analyze the Sentiment of Twitter data, where the data to be analyzed is streamed live from twitter and sentiment analysis is performed on the same.