Data Science & Analytics Course

Live Instructor-Led Classes with Project-Based Learning in Data Science & Analytics Course

  • 6-Month Training
  • 2-Year LMS Access
  • A Dedicated Job Application Portal
A Certified Member of  nasscom_rc  hysea_rc  shrm_rc
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Course Highlights

Weekly Live Sessions

Doubt Clarification Sessions

Hands-on Coding Exercises

A Dedicated Success Coach

Master classes by Industry Experts

2-Year LMS access

Certificate of Accomp-lishment

Flexible EMI Options

500+ Hiring Organizations

Data Science & Analytics 
Course Overview

Do you want to unlock the power of data and gain insights that drive decision-making in today’s data-driven world?

Our Data Science & Analytics Course is a live, instructor-led program designed to transform you into a skilled data professional in just 6 months. This comprehensive course covers the full spectrum of data science, including data collection, cleaning, and processing, along with the essential skills of data visualization, statistical analysis, and machine learning. You’ll work with tools and languages such as Python, R, SQL, Pandas, NumPy, and Tableau, gaining practical experience in analyzing and interpreting complex datasets.

Through hands-on projects, you’ll learn how to build predictive models, uncover patterns, and deliver actionable insights. Additionally, the course delves into real-world applications of AI and data analytics across industries, empowering you to apply data science skills in various business contexts.

Contact a career counselor today to check your eligibility for this career-transforming course and embark on your journey to becoming a data science expert.

Career Services 
in a nutshell

Get ready for your dream job! Attend comprehensive industry readiness training with Career Services.

  • Communication and aptitude training
  • Mock interviews
  • 200+ jobs available on our placement portal
  • Workshops on workplace behaviour
Request a Brochure

Learn workplace skills!

Your working style and behavior decide if you are a good cultural fit. Learn the right skills so you never feel out of place at work.

Sell your skills, and sell them well.

You are halfway there if you have a great resume and an optimized online presence. Work with our experts to build your professional profiles.

Attend mock interviews!

Get a grip on those pre-interview nerves. Test and practice your skills with mock interview sessions.

Data Science & Analytics 
Course Syllabus

An industry-aligned curriculum to make you productive from day one – we update the curriculum every month to make sure you learn the most in-demand skills.

Data Science and Analytics course Intro
  1. Data Science ML Course Intro
  2. What is data science?
  3. Machine Learning Overview
  4. Who’s this course is for?
  5. DL and ML Marketplace
  6. Data Science and ML Job opportunity
  7. Data Science Job Roles
Getting started with R
  1. Getting Started
  2. Basics
  3. Files
  4. R Studio
  5. Tidyverse
  6. Resources
Data type and structures in R
  1. Section Introduction
  2. Basic Types
  3. Vectors Part One
  4. Vectors Part Two
  5. Vectors – Missing Values
  6. Vectors – Coercion
  7. Vectors – Naming
  8. Vectors – Misc
  9. Creating Matrices
  10. 10 Lists
  11. Introduction to Data Frames
  12. Creating Data Frames
  13. Data Frames_Helper Functions
  14. Data Frames – Tibbles
Intermediate R
  1. Section Introduction Intermediate R
  2. Relational Operations
  3. Logical Operators
  4. Conditional Statements
  5. Loops
  6. Functions
  7. Packages
  8. Factors
  9. Dates and Times
  10. Functional Programming
  11. Data Import or Export
  12. Database
Data Manipulation in R
  1. Data Manipulation in R Section Introduction
  2. Tidy Data
  3. The Pipe Operator
  4. The Filter Verb
  5. The Select Verb
  6. The Mutate Verb
  7. The Arrange Verb
  8. The Summarize Verb
  9. Data Pivoting
  10. JSON Parsing
  11. String Manipulation
  12. Web Scraping
Data Visualization in R
  1. Data Visualization in R Section Introduction
  2. Getting Started
  3. Aesthetics Mappings
  4. Single Variable Plot
  5. Two Variable Plots
  6. Facets Layering and Coordinate System
  7. Styling and Saving
Creating Reports with R Markdown
  1. Creating Reports with R Markdown
Building Web apps with R Shiny
  1. Section Introduction With R Shiny
  2. Basic App
  3. Other Examples
Introduction to Machine Learning
 
Data Preprocessing
  1. Data Preprocessing Intro
  2. Data Preprocessing
Linear Regression: A Simple Model
  1. Linear Regression: A Simple Model Intro
  2. Linear Regression: A Simple Model
Exploratory Data Analysis
  1. Exploratory DataAnalysis 
  2. Intro Hands-on Exploratory Data Analysis
Linear Regression - Real Model
  1. Linear Regression – Real Model Intro
  2. Linear Regression – Real Model
Logistic Regression
Starting A Career in Data Science
  1. Starting a Career in Data Science
  2. Data Science Resume
  3. Getting Started with Freelancing
  4. Top Freelancing Websites
  5. Personal Branding
  6. Importance of Website and Blog
  7. Networking do’s and dont’s

Tools and Technologies

Python-Logo
favpng_machine-learning
pngwing.com (5)
Tableau-Logo
Pandas_logo
NumPy_logo_2020
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Request a Brochure
2-Year LMS Access

Let us help you become an industry asset

Attend job readiness training along with your technical training.

Master Data Science & Analytics with

  • Live Online Classes
  • Doubt Clarification
  • Profile Building
  • Career Services
Get support every step of your way
1
2
3
How do I enroll in this program?

Step 1

Apply

Step 2

Talk to A Counsellor

Step 3

Review Your Eligiblity

Step 4

Get Started

Data Science & Analytics 
Course Fee

Option 1: One Time Payment

Course Fee

₹ 20,000

+ GST

Enroll Now
  • Early Bird Offer Up To ₹10,000
  • Offer only valid for the first 100 seats!
Reserve your seat at ₹ 6000 ( with GST )

Option 2: Pay In EMI

Pay In easy EMI

₹ 6,000 X 4 months

Enroll Now

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