Business Analytics with R Training Course and Workshop in Bangalore, Mysore, Chennai, Hyderabad, Pune, Mumbai, Delhi, Noida, Gurgaon, Kolkata

This Business Analytics with R training course provides a working knowledge of R programming, importing various formats of data, data manipulation, statistical computing and data graphics. Further get hands-on experience in advanced R topics like data mining techniques, predictive analytics and data visualisation.

By attending Business Analytics with R workshop, delegates will learn:

Apply your in depth understanding of Business Analytics, Business Intelligence and Data Mining to projects
Leverage your understanding of the core concepts of R Programming, Data Cleaning in R, Data Import in R
Use R Analytics, Predictive Analytics, Data Visualisation to derive useful actionable insights
Gain expertise in Data Import, Exploration & Manipulation in R
Master modelling in R, Exploratory Data Analysis(EDA) & implementation of EDA on various datasets
Master concepts of Data Mining Techniques, Statistical Modelling, Linear and Logistic Regression

A basic understanding of R programming and statistics is good to have. Knowledge of business analytics is not required.

The Business Analytics with R class is ideal for:

Anyone looking to devise and implement data analytics solutions using R
Teams getting started with or working on R analytics projects

What is Business Analytics

Understanding Data
Introduction to Data Analytics
Introduction to Business Analytics, Business Intelligence and Data Mining
Analytical Decision Making
Future of Business Analytics
Big Data Analytics
Social Media Analytics
Basic Statistical Concepts
Type of Data
Sampling Techniques

Introduction to R Programming

Data Cleaning in R

Exploratory Data Analysis(EDA) & Implementation

Data Visualization

Introduction to Data Mining

Basics of Machine Learning
K : means clustering
Cluster a dataset in MS Excel using k-Means
Cluster a dataset in R using k-Means

Data Mining Technique

Association Rule Mining
Collaborative Filtering

Linear and Logistic Regression

Statistical Modelling

Define a Statistical Model
Understand and build Linear Models
Compute Regression Statistics
Determine ANOVA
Variance (Anova) Technique
Sentiment Analysis

Regressions

Understand the concept of Multiple Regression
Create a Multiple Regression Model in MS Excel
Create a Multiple Regression Model in R
Understand the concept of Logistic Regression
Create a Logistic Regression Model in MS Excel

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Business Analytics with R

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