
Postgraduate Program In Data Science And Analytics
Build your data science and analytics career with a job guarantee program

For fresh graduates/Early career professionals with Tech background
Weekday
Classroom & Live Online Training
6 Months Program
300+ Learning hours
25+ Projects
10+ Tools
1500+
Students Placed
22.5LPA
Highest Salary
52%
Average Salary Hike
400+
Hiring Partners
1500+
Students Placed
22.5LPA
Highest Salary
52%
Average Salary Hike
400+
Hiring Partners

Our Alumni Work At

Join The Best Data Science And Analytics Course
Learn the real-world application of data science and build analytical models that enhance business outcomes. This job-guarantee program is ideal for recent graduates and professionals who want to develop a successful data science and analytics career. You will gain practical knowledge about the implications of data science and analytics in real-world businesses and prepare to work as a data science professional in an emerging field of data science and analytics.

Job Guarantee
Our program comes with a job guarantee that offers you a chance to be placed at over 500 top-tier partner organisations hiring machine learning and artificial intelligence professionals.

Job-specific Curriculum
Learn the practical applications of data science, Python, SQL, data analytics, power BI, and tableau while gaining expertise in these subjects.

Live Learning Module
Our expert faculty delivers our robust curriculum using an interactive module and hands-on training methods to prepare you to work in various data science roles.

Real-world Projects
Implement what you’ve learned with over 25 real-world projects and case studies specially formulated by industry experts to make you job-ready.

Dedicated Career Services
Our career services include resume development, profile enhancement, career mentorship, interview preparation workshops and one-on-one career counselling to ensure you land the right job.

KPMG India COE Organised Hackathons
Make your resume stand out by participating in coding hackathons to tackle complex business problems and get an opportunity to compete in a national-level competition.

Job Guarantee
Our program comes with a job guarantee that offers you a chance to be placed at over 500 top-tier partner organisations hiring machine learning and artificial intelligence professionals.

Job-specific Curriculum
Learn the practical applications of data science, Python, SQL, data analytics, power BI, and tableau while gaining expertise in these subjects.

Live Learning Module
Our expert faculty delivers our robust curriculum using an interactive module and hands-on training methods to prepare you to work in various data science roles.

Real-world Projects
Implement what you’ve learned with over 25 real-world projects and case studies specially formulated by industry experts to make you job-ready.

Dedicated Career Services
Our career services include resume development, profile enhancement, career mentorship, interview preparation workshops and one-on-one career counselling to ensure you land the right job.

KPMG India COE Organised Hackathons
Make your resume stand out by participating in coding hackathons to tackle complex business problems and get an opportunity to compete in a national-level competition.

Job Guarantee
Our program comes with a job guarantee that offers you a chance to be placed at over 500 top-tier partner organisations hiring data scientists and analysts.

Job-specific Curriculum
Learn the practical applications of data science, Python, SQL, data analytics, power BI, and tableau while gaining expertise in these subjects.

Live Learning Module
Our expert faculty delivers our robust curriculum using an interactive module and hands-on training methods to prepare you to work in various data science roles.

Real-world Projects
Implement what you’ve learned with over 25 real-world projects and case studies specially formulated by industry experts to make you job-ready.

Dedicated Career Services
Our career services include resume development, profile enhancement, career mentorship, interview preparation workshops and one-on-one career counselling to ensure you land the right job.

KPMG India COE Organised Hackathons
Make your resume stand out by participating in coding hackathons to tackle complex business problems and get an opportunity to compete in a national-level competition.
Curriculum
Our leading edge curriculum covers fundamentals and more complex data science and analytics concepts.
Foundation
We’ve added a foundation module for those who have no programming knowledge.
The module covers the basics of programming for non-programmers. Learn programming concepts and implement those concepts to write efficient code. Get introduced to Lists and OOPS concepts.
What Will You Achieve?

Build a solid foundation for programming

Practice coding skills with 20+ coding questions
Topics
Introduction to Programming
Variables & Arithmetic Expressions
Functions
Data Types
Conditions and Conditional statements
Lists
OOPS
Core Track
Learn the principles of data science, machine learning and python programming in the core track.
The module covers the basics of Excel for data science. Learn Excel essentials to get strong hold on using Excel for data analysis. Get introduced to pivot tables, formulae and charts.
What Will You Achieve?

Build strong foundation of Excel for data analysis

Summarise data with pivot tables and charts
Topics

Intro to Excel

Importing data

Formatting in Excel

Excel Formulae

Data Validation

Calculations

Lookup and Reference

Pivot Tables

Charts

What-if Analysis

Intro to Macros
The module introduces learners to SQL programming. Learn how to query data from the databases and create datasets for data analysis.
What Will You Achieve?

Build a strong SQL foundation for data querying

Create datasets for data analysis
Topics

Introduction to SQL

DDL Statements

DML Statements

DQL Statements

Aggregate Functions

Date functions

Union, Union All & Intersect Operators

Joins

Views & Indexes

Sub-Queries

Exercise on SQL
The module introduces the learners to Python programming. Work with multiple Python data science libraries to execute essential tasks like mathematical calculations, data manipulation, etc. Learn data visualisation with Python.
What Will You Achieve?

Master Python programming

Run data analysis process using Python libraries

Create useful charts for data visualisation
Topics

Python Introduction

Variables

Functions

Python Operators

Python Flow Controls

Conditional Statements

Loops

Python Collection Objects
- Strings
- List
- Tuple
- Dictionary

List Comprehension

User-defined Functions

Function Arguments

Lambda Functions

Introduction to NumPy

NumPy Array

Creating NumPy Array

Array Attributes

Array Methods

Array Indexing

Slicing Arrays

Array Operation

Iteration through Arrays

Introduction to Pandas

Pandas Series

Creating Pandas Series

Accessing Series Elements

Filtering a Series

Arithmetic Operations

Series Ranking and Sorting

Checking Null Values

Concatenate a Series

Pandas Dataframe - Introduction

Dataframe Creation

Reading Data from Various Files

Understanding Data

Accessing Dataframe Elements using Indexing Dataframe Sorting

Ranking in Dataframe

Dataframe Concatenation

Dataframe Joins

Dataframe Merge

Reshaping Dataframe

Pivot Tables

Cross Tables

Dataframe Operations

Checking Duplicates

Dropping Rows and Columns

Replacing Values

Grouping Dataframe

Missing Value Analysis & Treatment

Visualisation using Matplotlib

Plot Styles & Settings

Line Plot

Multiline Plot

Matplotlib Subplots

Histogram

Boxplot

Pie Chart

Scatter Plot

Visualisation using Seaborn

Strip Plot

Distribution Plot

Joint Plot

Violin Plot

Swarm Plot

Pair Plot

Count Plot

Heatmap

Summary Statistics

Missing Value Treatment

Dataframe Analysis using Groupby

Advanced Data Explorations
The module introduces the learners to statistics. Review, analyse, and draw conclusions from data. Apply quantified mathematical models to appropriate variables for data analysis.
What Will You Achieve?

Build a strong foundation for Statistics

Analyse data and draw conclusions using statistics

Implement mathematical models for data analysis
Topics

Introduction to Statistics

Random Variables

Descriptive Statistics

Measure of Central Tendency

Measure of Dispersion

Skewness and Kurtosis

Covariance and Correlation

What is Probability?

Events and Types of Events

Sets in Probability

Probability Basics using Python

Conditional Probability

Expectation and Variance

Probability Distributions

Discrete Distributions
- Uniform
- Bernoulli
- Binomial
- Poisson

Continuous Distributions
- Uniform
- Normal

Probability Distributions using Python

Introduction to Hypothesis Testing

Terminologies used in Hypothesis Testing

Procedure for testing a Hypothesis

Test for Population Mean

Small Sample Tests

Large Sample Tests

Test for Normality

One-way ANOVA

Assumptions

ANOVA Hypothesis

Post Hoc Test

Chi-Square Test

Chi-Square Test Steps

Chi-Square Example
The module introduces the learners to machine learning and explains how different ML algorithms work. It also covers optimisation of models and model tuning. Get a complete understanding of how organisations are applying ML to solve their problems and grow the business.
What Will You Achieve?

Learn machine learning algorithms and their applications

Analyse data and make predictions

Solve real-world business problems using ML
Topics

Introduction to Machine Learning

Machine Learning Modelling Flow

Parametric and Non-parametric Algorithms

Types of Machine Learning

Introduction of Linear Regression

Types of Linear Regression

OLS Model

Math behind Linear Regression Decomposition Variability

Metrics to Evaluate Model

Feature Scaling

Feature Selection

Regularisation Techniques

Project - Property Price Prediction

Class Assessment on Linear Regression

Intro to Logistic Regression

Maximum Likelihood Estimation

Performance Metrics

Performance Measures

Bias-Variance Tradeoff

Overfitting and Underfitting Problems

Cross Validation

Project - Vaccine Usage Prediction

Home Assignment on Logistic Regression

Introduction to Decision Tree

Entropy

Information Gain

Greedy Algorithm

Decision Tree: Regression

Gini Index

Tuning of Decision Tree-Pruning

Project - Heart Disease Prediction

Introduction to Random Forests

Averaging

Bagging

Random Forest – Why & How?

Feature Importance

Advantages & Disadvantages

Project - Taxi Fare Prediction

Class Assessment on Classification

What is Clustering?

Prerequisites

Cluster Analysis

K-means

Implementation of K-means

Pros and Cons of K-means

Application of K-means

Project - E-commerce Customer Segmentation

Introduction to Hierarchical Clustering

Types of Hierarchical Clustering

Dendrogram

Pros and Cons of Hierarchical Clustering

Project - Travel Review Segmentation

Home Assignment on Clustering

Prerequisites

Introduction to PCA

Principal Component

Implementation of PCA

Case study

Applications of PCA

Project - Real Estate Data Analysis using PCA

Understand Time Series Data

Visualising Time Series Components

Exponential Smoothing

Holt's Model

Holt-Winter's Model

ARIMA

Project - Forecasting the Sales of a Furniture Store

Basics of Cloud

Machine Learning on Cloud

Deploying ML models on Cloud
The module covers data visualisation with two popular business intelligence tools - Tableau and Power BI. Create charts to articulate data and present insights to the business. Learn to showcase a data-based story to the stakeholders.
What Will You Achieve?

Master data visualisation with Tableau

Master data visualisation with Power BI

Create meaningful dashboards for the business
Topics

Introduction to Tableau

Data Connection

Tableau Interface and Basic Chart Types

Working with Metadata

Visual Analytics

Mapping

Calculations

Dashboard and Stories

Introduction

Interface

Data Connections

Data Transformation

Advance Data Transformation
Specialisation Track
At the end of the core module, we will evaluate your performance and assign a specialisation track with dedicated project mentors for optimal learning.
Sharpen ML skills through projects
Learn advanced ML skills
Get introduced to AI

Ensemble Techniques

What is Ensembling?

Bootstrap Method

Bagging

Boosting

XGBoost

AdaBoost

Some detailed project based on Classification

Association Rules - Apriori algo

Market Basket Analysis - Problem

Some detailed project based on RFM model

Some detailed project based on Regression

Neural Network

What is a Neural Network?

Parts of Neural Network

Input, Hidden and Output Node

What's happening inside Neural Network?

Forward and Backward Propagation

Cost Function & Types of Cost Function

Project - Digit Recognition using Neural Networks

Home Assignment on ANN

Convolutional Neural Network (CNN)

What is CNN?

CNN Architecture

Intro to OpenCV

What is Computer Vision?

Object Detection

Intro to Transfer Learning

Applications

Project - Image Classification using CNN

Home Assignment on CNN

What is NLP?

Typical NLP Tasks

Sentence Segmentation & Tokenisation

Stemming, Lemmatisation

Named Entity Recognition (NER)

Stop Words Removal (English)

Applications of NLP

Introduction to the NLTK Library

Processing Raw Text

Bag-of-Words (BoW), TF-IDF

Recurrent Neural Network

What is RNN?

RNN Architecture

Project - Textual Document Classification using RNN
Build a data science project on your own by applying the learning from the bootcamps. Learn planning the project and implementing it successfully. Present your project to a team of evaluators from the industry and get valuable feedback. Add the project to you GitHub project portfolio.
What Will You Achieve?
Learn to plan a data science project
Solve a real-world problem using data science
Gain confidence on your skills by presenting the project to industry experts
Topics
Combination of all skills learned throughout the course
Project Presentation Skills
Prepare for interview opportunities by polishing the key skills. Get support to create your digital profile and resume. Sharpen your interview skills through interview preparation workshops and expert-based mock interviews. Resolve your career-related queries through career mentorship session. At the end of the module, you will be ready for real interviews.
What Will You Achieve?
Build an exciting resume and digital profile for recruiters
Sharpen interview skills with mock interview sessions
Resolve any career related queries to have clarity and confidence
Topics
Resume-building
GitHub Project Portfolio
Interview Preparation
Mock Interviews
Career Mentorship
Hiring Partner's Quote

To appreciate your efforts for finding us the best of candidates for our Data Science team here in trinity mobility....see more



My sincere gratitude towards the service rendered as Learners primary skillset a...see more


The capacity to learn is a gift, The ability to learn is a skills,The willingness to learn is a choice! And that choice is given by Imarticus learning...see more
Tools & Technologies Covered
Analytics Centre of Excellence


Analytics Centre of Excellence
Get Industry Ready with exclusive sessions, hackathon, project competition and webinar by KPMG in India
The high impact benefits that you get at the Centre of Excellence by KPMG & Imarticus Learning:
Data Wars Hackathons
Data Dive Webinars
Data Verse Projects
Data Fluent Seminars
Data Decisions Roundtables
Projects That You will Work On
Get an opportunity to work on real-world projects, and case studies that will give you an overview of the data science and machine learning fields and provide you with the necessary technical skills. Some of the indicative projects are:
Projects That You Will Work On
Get an opportunity to work on real-world projects, and case studies that will give you an overview of the data science and machine learning fields and provide you with the necessary technical skills. Some of the indicative projects are:
Learning Journey



Will I Get Certified?
Upon successfully completing this program, you’ll earn a Postgraduate Program in Data Science and Analytics certificate. This certification will add considerable value to your professional credentials.




What Can I Become?
Data Scientist
Data Analyst
Business Analyst
Business Intelligence Specialist
Business Analytics Professional
Analytics Manager
Data Science Consultant
Machine Learning Engineer
Data Scientist : A data scientist gathers, analyses and interprets large amounts of data. They develop statistical and predictive models and require high-level strategic and analytical skills.
Grow With Imarticus Learning
We’re focused on giving you an integrated learning experience. With our one-of-its-kind career support services, we continue to support you as you take a step into your career with a renewed perspective. Get access to over 500+ placement partners and explore unlimited opportunities.
An In-Depth Look At The Data Science Job Landscape
Download Report

Job Guarantee
Our career services will introduce you to existing data analytics and machine learning opportunities and ensure that you land your dream job.

Profile Enhancement
We assist you in building a robust portfolio and resume to ensure that your profile always catches the eye of prospective employers.

Resume Building
Redesign your resume with professional help and highlight your strengths in the best possible way.

Interview Prep
We have analysed the most commonly asked interview questions and built a training module that confidently prepares you for job interviews.

Career Mentoring
Our dedicated program mentors are seasoned professionals that will assist you with the curriculum, ensure you are up-to-date with in-class happenings and motivate you to move ahead in your academic journey.

Imarticus Data Wars Hackathon

Participate in the national-level data science hackathon

Compete to solve a challenging data science problem

Sharpen your data science application skills

Enhance your CV by winning the hackathon
Top 3 Hackathon Winners


Imarticus Data Verse Project Competition

Participate in the national-level data science competition

Create a data science project and nominate it for competition

Showcase your data science skills for real-world applications

Enhance your CV by winning the project competition
Top 3 Project Competition Winners

Transform Your Career With Imarticus
Imarticus Learning has placed more than 56,000 students in various industries.
Build Your Success Story With Imarticus
Program Fee
₹ 2,25,000
(Inclusive of all taxes)
Instalments
EMI Options
Registration Fees
₹ 20,000
Base Fee
₹ 2,05,000
Instalment 1
₹ 69,700
Instalment 2
₹ 67,650
Instalment 3
₹ 67,650
Moments Of Honour
FAQs
- Grades should be at least 60%
- Pass all Imarticus mock interviews and the capstone project evaluation
- Have an average attendance of at least 80% for each module
Fresh graduates or postgraduates with at least 50% marks in graduation. Engineers, Computer Science/IT graduates, Mathematics/Statistics/Economics graduates, MBA – Finance/IT.
Working professionals with 0-3 years of experience: Software developers, testers, QA, networking professionals, system administrators, product and program management professionals, and IT support professionals.
*Current CTC should be below 4 LPA.
Guaranteed interview opportunities:
Attend multiple interview opportunities with our hiring partners to grab the most suitable job for you.
Resume-building:
Redesign your CV to create the best profile and get noticed by hiring managers of your dream job companies.
Profile enhancement:
Enhance your profile with a GitHub project portfolio and Hackathon results.
Interview preparation workshop:
Learn best practices and attend mock interviews with our industry experts to ace real interviews.
Career mentoring:
Resolve all your career-related queries in 1:1 sessions with industry experts.