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Data Science / Machine Learning using R

Book your Seat by a One-time Registration Fee of Rs.2000/-

Course Overview

Data Science in its simpler terms is about generating critical business value from the data by various creative ways. It can also be defined as a mix of data research, algorithms and technology in order to solve complex analytical issues. Data is being by generated by Companies at an exponential pace. The usable Data form can be different for different section of people working in an organization. Data Science helps us to explore the data to the granular form and find the needed insights. Data Science is about being analytical or inquisitive wherein asking new questions, doing new explorations and keep learning is a part of job for Data Scientists.

Our Data Science Training Course in Pune helps you to understand and acquire indepth Data Analytics skills and techniques using R and Python languages. 3RI Technologies being the prominent name in IT Trainings in Pune has been delivering the Data Science training in Pune at both of its branches i.e Pimple Saudagar and Deccan. With our experienced and professional trainers, and hands on Data Science Course, we make sure that candidates are well versed with the techniques and take the maximum benefit from our course. The Data Analytics Course with R ensures your job with Big MNC’s and our placement team assures you with jobs as well by providing you the placement calls.

Course Features

  • Hands on Experience on One Live Project.
  • 100 % Placement Assistance
  • Resume Preparation
  • Interview Preparation
  • Missed Sessions Covered
  • Multiple Flexible Batches
  • Practice Course Material


  • Basic knowledge of any programming Language.
  • Basic knowledge of Database (SQL) and files (MS Excel, CSV etc.)
  • Basic high school Algebra and Geometry

Duration : 40-50 Hours

Who can join this course?

  • Developers aspiring to become Data Scientists.
  • Freshers / Experience IT Professional
  • BigData Professionals.
  • Professionals who wants to understand machine learning
  • Business Analysts

Course Syllabus

Data Science / Machine Learning using R

Mathematics Fundamentals

  1. Fundamentals of Statistics
  2. Introduction to Statistics
    • Types of data
    • Measures of central tendency and dispersion
    • Statistical Graphics
  3. Probability and Probability Distributions
    • Binomial Distribution
    • Poisson Distribution
    • Normal Distribution

R Programming

  1. R Programming
    • Introduction to R
    • Data Types
    • Reading data, Subsetting Data
    • Visualizing the Data
    • Input Output Sub setting
    • Control structure
    • Functions
    • Data Exploration
    • Data Harmonization
  2. Descriptive & Inferential Statistics
    • Estimation Theory
    • Sampling Distribution
    • Point Estimation
    • Interval Estimation
    • Sampling Distribution
    • Test of Hypothesis
    • Inference about one population means
    • Inference about two populations means
    • Analysis of Variance Concept
    • Inference about one & two population (Means & Proportion)
    • Analysis of Variance ( 1 Way & 2 Way)

Python Programming

  1. An Introduction to Python
  2. Python Core Objects and Functions
    • Built in modules (Library Functions)
    • Numeric and Math’s Module
    • String/List/Dictionaries/Tuple
    • Complex Data structures in Python
    • Arbitrary data types and their Data Structure
    • Python built in function
    • Python user defined functions
    • Python packages and functions

Machine Learning with Python

  1. Concepts majorly used to explain are:
    • NUMPY
    • PANDAS
    • Supervised Algorithms
    • Introduction to Machine Learning
    • Naïve Bays Algorithm
    • K-Nearest Neighbor Algorithm
    • Decision Tress (SingleTree)
    • Regression
    • Correlation coefficient
    • Simple Linear Regression
    • Multiple Linear Regression
    • Logistic Regression
    • Time Series Analysis
    • Moving Average
    • Simple Exponential Smoothening
    • Holt-Winters Method
    • ARIMA Models
    • Support Vector Machines
    • Random Forest
    • Support Vector Machines
    • Model Ensembling
    • Bagging
    • Boosting
    • Stacking
  2. Unsupervised Learning Algorithms
    • Cluster Analysis
    • Hierarchical Clustering
    • K-means Clustering
    • Association Rules Mining
    • Principal Components Analysis
  3. Natural Language Processing
    • Term Document Matrix
    • TF-IDF
    • Word Cloud
    • Recommendations Systems
  4. Neural Network


1. Will I get any certificate after this course?

After the course completion, an exam will be conducted to judge your knowledge along with the live project work completion check and you will be awarded a certificate from 3RI Technologies.

2. Will I get any placement assistance after the course completion?

Yes, we provide 100% placement assistance to our students. We have a dedicated team for Placement and tie ups with 300+ MNC’s and SME companies.

3. Do you provide any demo classes for this course?

Yes we conduct demo classes every weekend. Please contact us for more details.

4. What Kind Of Projects Will get conducted during this course?

We conduct comprehensive Case Studies for each Topic and algorithms. Trainer will suggest various approaches to Solve Data Science Problem. In this course we would be conducting the live projects on domains like Financial Analytics, Logistics Analytics, Text Analytics.

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