Business Analytics using R

Course

Online

Price on request

Description

  • Type

    Course

  • Level

    Intermediate

  • Methodology

    Online

  • Duration

    Flexible

  • Start date

    Different dates available

  • Online campus

    Yes

  • Delivery of study materials

    Yes

  • Support service

    Yes

  • Virtual classes

    Yes

The future of decision making will greatly rely on data, and no industry will remain untouched by this development. Data, however, has its own set of issues and challenges; for the data available to be meaningful and concise, one needs to organize it efficiently.

In the program, you will learn the nuances of data collection, data presentation, and model building using real-life datasets. You will learn how to build supervised and unsupervised machine learning models, you will be introduced to algorithms to solve classification and segmentation problems. We will also introduce you to R platform, and different algorithms which can be used in the model building activity.

At the end of the program you will develop a clear understanding of the need for business analytics and will be able to apply it to solve some interesting problems cutting across various business domains.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Understand key concepts on business analytics.
Understand some of the primary algorithms used for data analysis.
Understand and apply supervised and unsupervised machine learning algorithms.
Understand the various sampling strategies and its efficacy in learning process.
Gain hands-on experience in applying R on real life dataset.
Complete a full life cycle of a project using R.
Be aware of different packages which can be used in R for making robust and complex models.

The program is designed for beginners and no prerequisites are required. However, exposure to statistics and programming will be helpful.

Computer- Preferably Windows 7 or higher/ Mac OS installed

Operating System- Windows (Version XP or later) / Mac OS X with XQuartz

Minimum 8 GB RAM on the system

Latest version of R and R Studio should be installed on their system.

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Reviews

Subjects

  • Algorithms
  • Business Analytics
  • Analytics
  • R Programming
  • Programming
  • Data manipulation
  • Reading Data Files
  • Statistics with R
  • Visualization
  • Hypothesis

Course programme

Curriculum

Data Science Foundations
  • Introduction to Business Analytics

  • Introduction to Business Analytics

Introduction to R programming
  • Fundamentals of R | Reading Data Files, Data Manipulation

  • Statistics with R

  • Data Manipulation and visualization using real life dataset

Machine Learning using R
  • Inferential Statistics |Hypothesis Testing, ANOVA, etc

  • Predictive Modelling| Linear Regression

  • Classification | Logistic Regression, Decision Trees etc

  • Clustering or Segmentation |K-means and Hierarchical

  • Forecasting | Time series

Real life projects
  • Retail Analytics

  • Healthcare Analytics

  • Finance and Risk Analytics

  • Marketing Mix Modelling

  • Churn Prediction|Attrition Management

  • Credit Rating.

Business Analytics using R

Price on request