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Data Science Course Content Overview

Why Data Science?

Harvard Business Review published that data science is one of the best jobs in 20th century.You earn 10X more than CAs and 15X more than engineers when you become a date science analyst. India will require 200,000+ skilled Data Scientists by the year 2018. Our data science training gives you professional expertise and guidance on Python, R programming and SAS. In our Data science online training India program, you’ll gain the potential skills you need to establish a strategic and successful data science career with best salary package in USA and India.

Hands-on benefits with real time projects

We ensure you that our course will give you practical knowledge on this cutting-edge technology which advances and boosts your skill set, get the powerful material for free along with certification without compromising the quality make it successfully and strategically with the help of our experienced instructors.

Get data science training from a well established institute in India in affordable prices. Contact us today to arrange free live demo class for you.

Introduction to Data Science

  • Need for Data Scientists
  • Foundation of Data Science
  • What is Business Intelligence
  • What is Data Analysis
  • What is Data Mining
  • What is Machine Learning
  • Analytics vs Data Science
  • Value Chain
  • Types of Analytics
  • Lifecycle Probability
  • Analytics Project Lifecycle


  • Basis of Data Categorization
  • Types of Data
  • Data Collection Types
  • Forms of Data & Sources
  • Data Quality & Changes
  • Data Quality Issues
  • Data Quality Story
  • What is Data Architecture
  • Components of Data Architecture
  • OLTP vs OLAP
  • How is Data Stored?

Big Data

  • What is Big Data?
  • 5 Vs of Big Data
  • Big Data Architecture
  • Big Data Technologies
  • Big Data Challenge
  • Big Data Requirements
  • Big Data Distributed Computing & Complexity
  • Hadoop
  • Map Reduce Framework
  • Hadoop Ecosystem

Data Science Deep Dive

  • What Data Science is
  • Why Data Scientists are in demand
  • What is a Data Product
  • The growing need for Data Science
  • Large Scale Analysis Cost vs Storage
  • Data Science Skills
  • Data Science Use Cases
  • Data Science Project Life Cycle & Stages
  • Map Reduce Framework
  • Hadoop Ecosystem
  • Data Acuqisition
  • Where to source data
  • Techniques
  • Evaluating input data
  • Data formats
  • Data Quantity
  • Data Quality
  • Resolution Techniques
  • Data Transformation
  • File format Conversions
  • Annonymization

Intro to R Programming

  • Introduction to R
  • Business Analytics
  • Analytics concepts
  • The importance of R in analytics
  • R Language community and eco-system
  • Usage of R in industry
  • Installing R and other packages
  • Perform basic R operations using command line
  • Usage of IDE R Studio and various GUI

R Programming Concepts

  • The datatypes in R and its uses
  • Built-in functions in R
  • Subsetting methods
  • Summarize data using functions
  • Use of functions like head(), tail(), for inspecting data
  • Use-cases for problem solving using R

Data Manipulation in R

  • Various phases of Data Cleaning
  • Functions used in Inspection
  • Data Cleaning Techniques
  • Uses of functions involved
  • Use-cases for Data Cleaning using R

Data Import Techniques in R

  • Import data from spreadsheets and text files into R
  • Importing data from statistical formats
  • Packages installation for database import
  • Connecting to RDBMS from R using ODBC and basic SQL queries in R
  • Web Scraping
  • Other concepts on Data Import Techniques

Exploratory Data Analysis (EDA) using R

  • What is EDA?
  • Why do we need EDA?
  • Goals of EDA
  • Types of EDA
  • Implementing of EDA
  • Boxplots, cor() in R
  • EDA functions
  • Multiple packages in R for data analysis
  • Some fancy plots
  • Use-cases for EDA using R

Data Visualization in R

  • Story telling with Data
  • Principle tenets
  • Elements of Data Visualization
  • Infographics vs Data Visualization
  • Data Visualization & Graphical functions in R
  • Plotting Graphs
  • Customizing Graphical Parameters to improvise the plots
  • Various GUIs
  • Spatial Analysis
  • Other Visualization concepts

Flexible Payment Options

We are offering flexible payment options for you, pay cash, using your debt card or credit card and pay in installments. Accepting payments through Credit/Debit cards from all major banks. We accept internet banking NEFT, IMPS and RTGS.

Our Data Science Online training program will equip you to be an software-ready Consultant who can extract and deal with large amount of data and clearly face tge critical challenges in the project and answerable your client.

Get the best data science online training in India from tiihyd.

Facilities available for classroom students:
Drinking water, wifi, computer and Wheelchair accessible entrance and parking lot available at our Institute premises.

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