Data Science with R Training and Certification Course In Pune

Data Science With R & Python
Duration of course: 40 hrs

Best Blended Syllabus for Data Science with R Training in Pune by a 100% Placement-Oriented Training Institute

Instructor-led Data Science with R Live Online Interactive Training​

Date Upcoming Batch Schedule
Batch Timings Mode of Learning
26th Jun
26th Jun

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Data Science with R Training Course​

Best Blended Syllabus for Data Science with R Training in Pune by a 100% Placement-Oriented Training Institute

  • What is Data Science
  • Differentiate between
  • Database Datawarehouse
  • Hadoop Bigdata and
  • Data Science
  • Why Data Science is in demand on the top of Hadoop Ecosystem
  • Components in data Science
  • Real time examples and applications of Data Science
  • What is Statistics
  • Introduction to R Language
  • Introduction to R Language and Statistics
  • Statistics in Excel Sheet
  • Introduction to Python Language
  • Questions and Answers

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  • Harnessing the power of R
  • Assigning Variables
  • Printing an output
  • Numbers are of type numeric
  • Characters and Dates
  • Logicals

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  • Creating an Array
  • Indexing an Array
  • Operations between 2 Arrays
  • Operations between an Array and a Vector
  • Outer Products
  • Data Structures are the building blocks of R
  • Creating a Vector, The Mode of a Vector
  • Vectors are Atomic
  • Doing something with each element of a Vector
  • Aggregating Vectors
  • Operations between vectors of the same length
  • Operations between vectors of different length
  • Generating Sequences
    Using conditions with Vectors
  • Find the lengths of multiple strings using Vectors
  • Generate a complex sequence (using recycling)
  • Vector Indexing (using numbers)
  • Vector Indexing (using conditions)
  • Vector Indexing (using names)
  • A Matrix is a 2-Dimensional Array
  • Creating a Matrix
  • Matrix Multiplication
  • Merging Matrices
  • Solving a set of linear equations

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  • What is a factor?
  • Find the distinct values in a dataset (using factors)
  • Replace the levels of a factor
  • Aggregate factors with table()
  • Aggregate factors with tapply()
  • Introducing Lists
  • Introducing Data Frames
  • Reading Data from files
  • Indexing a Data Frame
  • Aggregating and Sorting a Data Frame
  • Merging Data Frames
  • Introducing Regression
  • What is Linear Regression?
  • A Regression Case Study : The Capital Asset Pricing Model (CAPM)

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  • Linear Regression in Excel : Preparing the data
  • Linear Regression in Excel : Using LINEST()
  • Linear Regression in R : Preparing the data
  • Linear Regression in R : lm() and summary()
  • Multiple Linear Regression
  • Adding Categorical Variables to a Linear model
  • Robust Regression in R : rlm()
  • Parsing Regression Diagnostic Plots
  • Data Visualization
  • The plot() function in R
  • Control color palettes with RColorbrewer
  • Drawing barplots
  • Drawing a Heatmap
  • Drawing a Scatterplot Matrix
  • Plot a line chart with ggplot2

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  • Introduction to Python Language
  • Getting What You Need in Python Library
  • Installation
  • Python language Basics
  • Running Python Scripts
  • Types of Data
  • Mean, Median, Mode
  • Using mean, median, and mode in Python
  • Variation and Standard Deviation
  • Probability Density Function; Probability Mass Function
  • Common Data Distributions
  • Percentiles and Moments
  • matplotlib plotting library
  • Covariance and Correlation
  • Conditional Probability
  • Conditional Probability usecases
  • Bayes’ Theorem

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  • Linear Regression
  • Polynomial Regression
  • Multivariate Regression, and Predicting Analysis
  • Multi-Level Models
  • Supervised vs. Unsupervised Learning, and Train/Test
  • Using Train/Test to Prevent Overfitting a Polynomial Regression
  • Bayesian Methods: Concepts
  • Implementing a Spam Classifier with Naive Bayes
  • K-Means Clustering
  • Clustering Example
  • Measuring Entropy
  • Install GraphViz
  • Decision Trees: Concepts
  • Decision Trees: Predicting Hiring Decisions
  • Ensemble Learning
  • Support Vector Machines (SVM) Overview
  • Using SVM to cluster people using scikit-learn

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  • How to work in Real time Project
  • Real time Project Scenarios
  • Frequent Challanges in Projects and solutions
  • Mock Interview session
  • Profile discussion
  • Mock Test
  • Questions and Answers

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  • Trainer is Working It Professionals
  • POCs and Material will be provided by Institute
  • Once Registered can come and join multiple batches
  • We also provide Combination of Hadoop and Data Science

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Data Science with R Training Completion Certificate

To Obtain The Data Science with R Training Completion Certification,You Have To Fulfill The Following Criteria

  • Complete the Data Science with R Training Online/Classroom Training
  • You can attend multiple batches of the same trainer & complete the Data Science with R Training
  • Completion of all exercises, assignments & capstone project.

Batches Completed

Industry Oriented Syllabus

Designed By Expert


Happy Students

Self Assessments

Quizzes, POC


8+ Years Of Experience

Recorded Sessions

1 Year Of Access

Data Science with R Training Completion Certificate


Course Benefits​

  • No prerequisite
  • Cloud based cluster available for hands on practice

  • Course designed for non-IT as well as IT professionals

  • Flexible batch switch is available

  • Placement assistance in MNC

  • Classroom & Online Training – Can switch from online training to classroom training with nominal fee

  • Working professional as instructor

  • Proof of concept (POC) to demonstrate or self-evaluate the concept or theory taught by the instructor

  • 100% placement calls guaranteed till you get placed

  • Interview Preparation Support

  • Resume Building & Mock Interview

  • Evaluation after each Topic completion

  • Hands-on Experience with Real-Time Projects


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About Course

Training Projects​


Yes, you can attend demo session before you enroll either we can provide you the recorded lecture so that you can watch it as per your schedule or you can attend live demo lecture either online or offline


Yes, we do provide the placement assistance in which how we work on real time projects will be taught,resume preparation and Job openings will also be provided.More than 80% of candidates have changed their profile by getting either promotion or getting new job offers on good package.

Checkout our Telegram Channel for Placement Assistance (Open in Mobile Browser):


If you miss classes, you can get recording sessions of the lectures.

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