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Data Science Course




11th May 2019
SAT – SUN (60 Hours)
09:00 AM – 11:00 AM
₹ 40000
29th May 2019
SAT – SUN (60 Hours)
09:00 AM – 11:00 AM
₹ 40000
11th May 2019
SAT – SUN (60 Hours)
09:00 AM – 11:00 AM
₹ 40000
29th May 2019
SAT – SUN (60 Hours)
09:00 AM – 11:00 AM
₹ 40000

Can't find convenient schedule?

Key Features

Instructor-led Sessions
  • 30 hours online live instructor-Led Classes
  • 10 days Training on Weekends.
  • Support after training for Live Project
  • Training by highly experienced trainers
Real-life Case Studies

Experience the real-life projects on any of the use cases by employing various IoT concepts at SFJ Business Solution.


We believe in practical learning – thus every class is aligned with a set of assignment that adds maximum value to your time.

Lifetime Access

Get Life time access of same recorded class videos which you have attended session with SFJ Business Solutions.

24 x 7 Expert Support

We backed by you in every single step – With personalized support crew, we ensureour availability 24/7 to resolve all your queries.


The best of enrolling with SFJ Business Solutions is to receive the certified badge for the lifetime.

Pre-recorded video learning

SFJ Business Solution offers an extreme flexibility – you can access to high quality pre-recorded training videos.

Course Curriculum

Program Overview
  • Program Overview: This program covers the entire data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrates impeccable Data Visualization by leveraging on ‘R’ capabilities.
Prerequisite Skills
  • There is no specific pre-requisite for the program however exposure to core Java and mathematical aptitude will be beneficial.
Who Should Attend?
  • Developers aspiring to be a ‘Data Scientist’, Analytics Managers who are leading a team of analysts, SAS/SPSS Professionals looking to gain understanding in Big Data Analytics, Business Analysts who want to understand Machine Learning (ML) Techniques, Information Architects who want to gain expertise in Predictive Analytics, ‘R’ professionals who want to captivate and analyze Big Data, Hadoop Professionals who want to learn R and ML techniques, Analysts wanting to understand Data Science methodologies.
On Completion of This Program
  • Participants would be able understand and apply concepts related to entire life cycle of data.

Course Description

Introduction Data Science and Tool (R)
  • Introduction to Data Science
  • Introduction to R programming
  • R Environment and Basic Commands
Data Handling in R
  • Importing data
  • Data Exploration
  • Creating calculated fields
  • Sorting & removing duplicates
Basic Descriptive Statistics in R
  • Population and Sample
  • Measures of Central Tendency
  • Measures of Dispersion
Reporting and Data Validation Using R Percentiles & Quartiles
  • Box plots and outlier detection
  • Creating Graphs and Reporting
Bigdata Introduction
  •  What is Bigdata & Bigdata Use Cases
  • What is Distributed Computing
  • MapReduce Introduction
  • Hadoop & Tools
  • Bigdata on VM
Hadoop, Hive and Pig
  • Hadoop Basics
  • Map Reduce on Hadoop
  • Hive Introduction
  • Hive Queries
  • Pig
  • Pig Scripting
Bigdata and R
  • Connecting R to Hadoop
  • R Hadoop Reporting Analysis
Big Data Project
  • Data import on to HDFS
  • Data Exploration using Hive and Pig
  • Data Analysis using R
Regression Analysis
  • Correlation
  • Simple Regression models
  • R-Square
  • Multiple regression
  • Multicollinearity
  • Redetection using model
Logistic Regression
  • Logistic regression models
  • Validation of logistic regression models
  • Multicollinearity in logistic regression
Decision Trees
  • Trees, Entropy and Information Aain
  • Building Decision Trees
  • Validation of Trees
  • Fine tuning and Prediction using Trees
Model Selection and Calibration
  • Model Validation measures
  • Cross validation techniques
  • Boot Strapping
Predictive Modelling Project
  • Data exploration and Cleaning
  • Model Building
  • Validation and Implementation
Neural Networks
  • Introduction
  • Algorithm of Neural Network
  • Building neural Network
  • Prediction using neural network


+91 9513642100



What if I missed a session?

If you miss a lecture at SFJBS training you can go through below given options;

  1. Will share you recorded videos of each class
  2. You can attend missed class with another batch.
Is there any placement assistance?

Yes! We have our own consultancy we can assist you after completing the course.

Can I attend a demo session before enrolment?

Yes! You can register for free live demo session with SFJBS Training

Who are the instructors and how experienced they are?

SFJBS Training instructors are highly qualified industrial experienced trainers more than 12+ years of experience; SFJ Business Solutions Training will review each trainer in 360 degree.

What if I have more queries?

Contact our best supporting team through +919513642100 or email us on we are glad to assist you.

How do I enrol for the online training?

To enrol in our website choose any of the following option to make online payment: • Debit card or credit card • Net Banking • PayPal

Do you provide a money back guarantee?

Yes! We give money back guarantee for 2 to 3 Hour session who paid full amount. Contact our support team and go through refund policy and submit request.

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