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Certificate Course in Data Science using R Software

Build a Data Science Career Through Advanced Analytics in R!

Class Room Training on Data Science using R programming

R is the most popular open source software for Business Analytics. R is the hand tool for all statisticians for preparing, analyzing, visualizing, predicting and forecasting using the business data for business problems to be identified and resolved. This course addresses the demand for Data Science resources using R software for predictive modeling, forecasting and Machine Learning.

A Man Working with Tools to depict that Hands-on Classes are Provided with Data Science with R Course at Study Analytics
Hands-On Classes
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Industry Data
Multiple Domains Across the globe to indicate that workshops from multiple domains are conducted along with Data Science with R course at study analytcis
Domain Workspace
Projects with real industry usecases to indicate that live projects are done alongwith Data Science with R course at Study Analytics
Live Projects
Study Materials are shared to the candidates when they take up Data Science with R course at Study Analytics
Study Material Shared
Man thinking in Analytic Mindset to show that the learning pedagogy for Data Science with R Course at Study Analytics is Easy for the Learner
Easy Learning Pedagogy
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Group Study
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Mock Interviews
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Resume Preparation

Courses Highlights

The course duration of Data Science with R Course at Study Analytics

140 Hours of Classroom + Home assignments and projects

  • A man working with R and other Analytics tools to show that Assignments are given per topic with Data Science with R course at Study AnalyticsAssignments: 50+ Micro Projects  
  • A computer screen with process and outcome to indicate that projects with real business scenarios are facilitaed along with Data Science with R course at Study AnalyticsProjects: 3 projects
  • Multiple Domains Across the globe to indicate that workshops from multiple domains are conducted along with Data Science with R course at study analytcisDomains: Multiple- Retail, Online, Sales
  • A spanner and screw driver image to show that the teaching methodology at Study Analytics for Data Science with R Course is practice based100% practice based
  • A man standing with process cycle on R and other Analytics tools to indicate that internships are provided with Data Science with R Course at Study AnalyticsInternships for freshers
  • A man walking out of a door succesfully to indicate that placement support is provided with Data Science with R course at Study AnalyticsPlacements : 100% of Alumni Are Well Placed Upon Successful Course Completion

What do you get?

  • A thorough understanding about data analysis using R Software in real business
  • Most relevant and Latest Methods in Data Analytics and the best practiced R programming techniques.
  • In-Class Assignments (Hands-On: Learn while practicing)
Two fresh graduates new to Analytics standing hand in hand to indicate the prerequisites for taking up Data Science with R course at Study Analytics

Prerequisites

Any candidates who wish to work with R Software for Data Analysis. Candidates with Graduation degree or more with quantitative subjects and having good communication skills and a high flair to Mathematics or Statistics and IT.

Two succesful candidates wearing graduation caps after completing Data Science with R Course at Study Analytics

Course Outcome

On successful completion of the training the candidates will gain the skills to work with R software, Accessing the data, cleaning and validating, consolidating, transforming, analysing scenarios, creates reports.

Course Modules

Data Visualization and Reporting : 60 Hrs
  • Basic Excel Training
  • Advanced Excel Course
  • Advanced Business Dashboards Training
  • Projects
  • Business Analysis
  • Use Case designs
  • RDBMS Concepts in Business
  • Data processing
  • Data Analysis
  • Reporting Using MySQL
  • Data Sources
  • Data Visualizations
  • Dimensions & Measures
  • Graphs and Charts
  • Filtering and Sorting Your Data
  • Organizing Data
  • Using Groups
  • Working with Dates
  • Creating Dashboard
  • Calculations and Statistics
  • Formatting
  • Advance Chart Types
  • Creating Story Telling Business Dashboards
Analytics and Machine Learning using R : 80 Hrs
  • Basics of R Software
  • Operations
  • R Programming
  • Exploratory data Analysis
  • Functions
  • Basic Statistics
  • Graphical Plots
  • Inferential Statistics
  • Statistical Tests
  • Linear Regression
  • Logistic Regression
  • Predictive Modeling
  • Advanced Predictive Modeling
  • Predictive Modeling using SVM
  • Predictive Modeling using Decision Trees
  • Predictive Modeling using Random Forest
  • Time Series Forecasting
  • Multivariate data mining
  • NLP: Neuro-Linguistic Programming
  • Candidates do multiple projects across domains

from Our Students

Arjun Muraleedharan
Amazon Inc

Course content at Study Analytics and mode of fetching is very well organized and structured so that any layman can pick it up. Trainers have good knowledge and are certified which makes the training easy to understand and learn it faster.

Sanchit Suman
Data Science Analyst, Apple 

There is a difference when a trainer teaches you (with respect). They equip you with an understanding that helps you tackle even the problem outside the book. The material is very informative, and the peer group makes learning even more fun. Study Analytics is the place to learn analytics.

Rupsa Roy 
SAP Labs India

I'm thankful to study analytics. Faculties are always motivating. The way of teaching, corporate exposure, and customized course content was very helpful. If you really want to learn SAS then you can join this course. Only one word I have to say is Excellent.
Ravikanth M V
NetApp
Study analytics teaches professionally. I think the DNA of Study Analytics is thinking like an analyst while studying. This place gives a wide scope of the current situation of analytics relating to business examples. Study analytics gave me an opportunity to understand the broad range of analytics field.
Aryan Mahaling
IBM
It was a great experience to learn analytics at Study Analytics which is going to give me a great upliftment in my career growth and the best training ever happened to me in my career. I thank Study Analytics for the valuable guidance and support.

Sandeep Kinayath
Praqma

Provided fully fledged Study materials with real-time examples helped a lot to get practical experience in Base SAS. Importantly faculty was very helpfully in explaining for obtaining certification and future career advancement.

Ishmeet Singh Bedi
RMS

Course content at Study Analytics is very good. Trainers can solve all the problems effectively. Business Analytics sessions were very good. Exercise portion after every chapter is very useful.

Samuel T
iGATE

An excellent program with efficient trainers and well explained course material for hands on. Worth the money you put in. Special thanks to the trainers for their support throughout the program also for their special lectures.
Let our experts help you customize the course for your profile

FAQ

SAS Defines the role of a data scientist as “ a new breed of analytical data expert who have the technical skills to solve complex problems and the curiosity to explore what problems need to be solved. They are part mathematician, part computer scientist and part trend-spotter. And, because they straddle both the business and IT worlds, they’re highly sought-after and well-paid.”
A data scientist should possess Text Analysis, Data Preparation, Machine Learning , Deep Learning, and Data Visualization skills. Additionally programming skills on Python, R or SAS and a solid grasp of statistics, including statistical tests and distributions are mandatory.
According to NASSCOM 2019 survey, there is 2.3 Lakhs of fresh recruits required in data science only in India but only 90k technical graduates are coming out of colleges every year who are trained enough to be placed immediately. Total 7.8 Lakhs of total workforce required in India, in which more than 70% of the current working population needs up-skilling and re-skilling in Analytics.
According to Glassdoor, data scientist is among the top 3 best jobs for work-life balance, and it has one of the highest job satisfaction rates as well! So it is pretty safe to say that in general data science is not stressful. A job becomes stressful if you are not passionate about the job.

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