MicroDegree program

Data Science with R

Give your career a boost with our Fast-Track MicroDegree program. Explore the plethora of data, build models and deploy the solution to the cloud. Get the opportunity to work on Live Project and Live Interaction with Industry expert to understand the market trends.

Data Science with R Course Overview

This course will help you to advance your career in the field of data science. We will bring you to the expert level from the beginner level by our comprehensive theory sessions followed by professional practical assignments. The course will help you to learn R-programming fundamentals and programming techniques. At the completion of the course you will have hands experience with data structures, data frames, modelling techniques and learning system.

Data Science with R Key Features

Training from Industry experts

Exposure to work on Live Projects

100% Job Assistance

Technology Certification and Recommendation Letter

Mock-Interview and Surprise Assessment Tests

Learning Mode

Online & Classroom


180 Hours


R programming

Big Data



Data Science with R Syllabus

  • Introduction to R
  • Data Structures in R
  • Working with Data
  • Different Functions in R
  • Working with Text and Date
  • Descriptive Statistics in R
  • Inferential Statistics in R
  • Cleaning the Data
  • Creating Data Visualization
  • Creating Statistical Models
  • Supervised Learning
  • Unsupervised Learning
  • Recommender System
  • Deep Learning Algorithm
  • Deploying to Production

  • Big Data and Hadoop Introduction
  • Understand Hadoop Cluster Architecture
  • Map Reduce Concepts
  • Advanced Map Reduce Concepts
  • Hadoop 2.0 and YARN
  • Introduction to PIG
  • Working with Pig
  • HIVE
  • Flume and Oozie
  • Apache Spark
  • Introduction to Scala
  • Spark Core Architecture
  • Spark Internals
  • Spark Streaming

  • Introduction to SQL
  • Datatypes and Commands
  • Operators/Alias Name
  • Views
  • Stored Procedure
  • Trigger/Cursor
  • Functions
  • Pivot/Unpivot
  • Database Backup
  • Database Restore
  • Generate Script
  • Select * into

  • Introduction to Tableau
  • Connect (Data Source Page)
  • How to work with Noisy Data
  • Tableau Workspace
  • Prepare Data
  • Design Views and Visualize Data
  • Filters and Axis Formatting
  • Calculated Fields
  • Advance Visualizations
  • Design Dashboards
  • Publish Dashboards
  • Create Story

Tools Covered

Our Instructors


Shareable on LinkedIn

You can share your Course Certificates in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

Academy Of Data Science Student Review

Frequently Asked Questions

MicroDegree Programe is exclusively design for Students,Professionals and Teachers which includes data science from scratch to the deployment (production) with one to one client intrections and live projects where you will be able to design complete workflow of data science.You will have hands on expertise on tools like R,tableau/Power BI , database and big data.

Students, Professionals, teachers, and anyone can apply for this course. In order to be a Data Scientist you just need the right skills and the willingness to do so. There are people from diverse backgrounds like chemical engineering, physics, economics, statistics, mathematics, operations research, computer science, etc who work as Data Scientists

Not an issue.Students, Professionals, teachers, and anyone who wishes to know the science behind data science can apply for this course

No, it is not necessary. Even commerce or arts graduate students can apply for this course.

This course will be the great add on on your profile.Who in this world do not like to earn more? It is the typical demand supply relation that states that the demand for data scientists is more than their supply. Due to this drift there is good job opportunities for individual within this field and excellent pay scale.