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Postgraduate Program In Data Science And Analytics

Build Your Data Science and Analytics Career in Bangalore with Our 100% Job Assurance Program

For fresh graduates/Early career professionals with Tech background

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Classroom & Live Online Training

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6 Months Program

300+ Learning hours

25+ Projects

10+ Tools

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1500+

Students Placed

22.5LPA

Highest Salary

52%

Average Salary Hike

400+

Hiring Partners

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1500+

Students Placed

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22.5LPA

Highest Salary

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52%

Average Salary Hike

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400+

Hiring Partners

Our Alumni Work At

Deloitte
Genpact
Accenture
infosys
KPMG
IBM
Capgemini
Goldman Sachs
Cognizant
Standard Chartered
Wipro
Moody's Analytics
Deloitte
Genpact
Accenture
infosys
KPMG
IBM
Capgemini
Goldman Sachs
Cognizant
Standard Chartered
Wipro
Moody's Analytics
Deloitte
Genpact
Accenture
infosys
KPMG
IBM
Capgemini
Goldman Sachs
Cognizant
Standard Chartered
Wipro
Moody's Analytics
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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 100% Job Assurance 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.

100% Job Assurance

Our data science course comes with a job assurance that offers you 10 guaranteed interviews at over 500 top-tier partner organisations hiring data science and analytics 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, job assurance workshops and one-on-one career counselling to ensure you land the right job.

Imarticus 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.

Trusted By Millions Of Learners Around The World

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.

Specialisation 1 - Advanced ML Track
Specialisation 2 - Data Analytics & ML Track
Specialisation 1 - Advanced ML Track
Specialisation 2 - Data Analytics & ML Track

What Will You Achieve?

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

Have questions? Contact us

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Hiring Partner's Quote

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comma

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

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comma

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

comma

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

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Tools & Technologies Covered

Python
Sql
Power BI
Tableau
Learn
Php
Spark
Excel
Python
Sql
Power BI
Tableau
Learn
Php
Spark
Excel
Python
Sql
Power BI
Tableau
Learn
Php
Spark
Excel
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Analytics Centre of Excellence

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Analytics Centre of Excellence

Get Ready with exclusive sessions, hackathon, project competition and webinar by Imarticus Learning

The high impact benefits that you get at the Centre of Excellence by Imarticus Learning:

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Data Wars Hackathons

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Data Dive Webinars

point

Data Verse Projects

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Data Fluent Seminars

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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:

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Targeted Marketing


Build a predictive model to predict the property valuations.

Learn how analytics is used by real-estate companies.

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Heart-disease Prediction


Build a predictive model to analyse if a person suffers from heart disease.

Learn how analytics is used by healthcare professionals and hospitals.

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Vaccine Prediction


Predict if an individual has been given a particular vaccine based on various medical attributes.

Find out how hospitals and healthcare professionals use analytics.

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Taxi-fare Prediction


Predict taxi fares in a busy city using various journey-related attributes.

Learn how predictive analytics is used by online transportation companies like Ola and Uber.

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Climate Change Analysis


Perform in-depth analysis to study climate change over the years.

Learn how researchers use analytics for environmental studies.

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Product Pricing


Before introducing a new product, determine the pricing points for mobile phones that consumers will accept.

Find out how retail businesses establish their product prices.

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Property Value Prediction


Create a predictive model to calculate property values.

Find out how real estate firms use analytics.

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Vehicular Performance Prediction


Predict vehicular performance of heavy vehicles based on data collected from sensors of the vehicles.

Learn how analytics is used by automobile and transportation companies.

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:

--

Targeted Marketing


Build a predictive model to predict the property valuations.

Learn how analytics is used by real-estate companies.

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Heart-disease Prediction


Build a predictive model to analyse if a person suffers from heart disease.

Learn how analytics is used by healthcare professionals and hospitals.

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Vaccine Prediction


Predict if an individual has been given a particular vaccine based on various medical attributes.

Find out how hospitals and healthcare professionals use analytics.

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Taxi-fare Prediction


Predict taxi fares in a busy city using various journey-related attributes.

Learn how predictive analytics is used by online transportation companies like Ola and Uber.

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Climate Change Analysis


Perform in-depth analysis to study climate change over the years.

Learn how researchers use analytics for environmental studies.

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Product Pricing


Before introducing a new product, determine the pricing points for mobile phones that consumers will accept.

Find out how retail businesses establish their product prices.

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Property Value Prediction


Create a predictive model to calculate property values.

Find out how real estate firms use analytics.

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Vehicular Performance Prediction


Predict vehicular performance of heavy vehicles based on data collected from sensors of the vehicles.

Learn how analytics is used by automobile and transportation companies.

Learning Journey

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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.

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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.

Faculty
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Kumar Sundaram
Data Science & Analytics | Ex-Flipkart | DCE

Kumar's tech expertise includes Analytics/Machine Learning using SAS/R/Python/Tableau/Excel. He has extensive experience in building technical teams and products and vast experience in business development pertaining to schools, universities, and educational institutions by large. In addition, he has gained knowledge and expertise in Underwriting Strategies, Risk Scores and Modelling, Analytics, Transformation, and Risk and Information Management.

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Karthik C
Head of Analytics, Imarticus Learning | Ex-Amazon | Ex-MuSigma

Mr Karthik has 9+ years of experience in the data science domain where he worked with companies like Mu Sigma and Amazon. He has solved a diverse set of business problems for various Fortune 100 clients leveraging his experience in Machine Learning (ML), Text Analytics, Natural Language Processing (NLP) and Deep Learning. He is an alumnus of RV College of Engineering, Bangalore.

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Arul Francis
40 Under 40 Data Scientist in India 2021

Arul's dynamic career spans over 12 years in Analytics. His expertise includes good analytical, project management, and association-building skills. In addition, he is a strategic thinker and a quick learner who can come up with several solutions to solve problems using analytics. He also assists the senior management in his organisation with business development.

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Arun S Kumar
Software Engineer | IBS Software | Digital Innovation (DxI) | Nature Language Processing (NLP)

Arun's tech expertise includes working in Digital technologies, including Automation, Machine Learning (ML), Natural Language Processing (NLP), and Artificial Intelligence (AI). He holds experience in Banking, Insurance, Healthcare, and E-commerce domains. He is Certified in Machine Learning and Six Sigma Implementation Techniques. He possesses strong knowledge in Data Mining, Data Transformations, Cognitive Algorithms, Image structures, and Deep Neural Networks. He's an Expert in building Search Engines, Chatbots, Recommendation Systems, Anomaly Detection Systems, and Computer Vision Capabilities. He also works on Data Governance, Image Processing, CRM Intelligence, Business Process Improvements, IT Operations, and Robust Process Automation.

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Shan Thiagarajan
Independent Consultant and Trainer (Data Science and Business Analytics) at Independent

Shanmugam is a Freelance Consultant/Trainer. He provides Consulting and Training in Data Science, Data Warehouse, Data Architecture, Database Technologies, Data Mining/Business Analytics, and Machine Learning. In addition, he's an expert with various ML prediction models.

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Kumar Sundaram
Data Science & Analytics | Ex-Flipkart | DCE

Kumar's tech expertise includes Analytics/Machine Learning using SAS/R/Python/Tableau/Excel. He has extensive experience in building technical teams and products and vast experience in business development pertaining to schools, universities, and educational institutions by large. In addition, he has gained knowledge and expertise in Underwriting Strategies, Risk Scores and Modelling, Analytics, Transformation, and Risk and Information Management.

--
--
--
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Karthik C
Head of Analytics, Imarticus Learning | Ex-Amazon | Ex-MuSigma

Mr Karthik has 9+ years of experience in the data science domain where he worked with companies like Mu Sigma and Amazon. He has solved a diverse set of business problems for various Fortune 100 clients leveraging his experience in Machine Learning (ML), Text Analytics, Natural Language Processing (NLP) and Deep Learning. He is an alumnus of RV College of Engineering, Bangalore.

--

Karthik C

Head of Analytics, Imarticus Learning | Ex-Amazon | Ex-MuSigma

Mr Karthik has 9+ years of experience in the data science domain where he worked with companies like Mu Sigma and Amazon. He has solved a diverse set of business problems for various Fortune 100 clients leveraging his experience in Machine Learning (ML), Text Analytics, Natural Language Processing (...

--

Arul Francis

40 Under 40 Data Scientist in India 2021

Arul's dynamic career spans over 12 years in Analytics. His expertise includes good analytical, project management, and association-building skills. In addition, he is a strategic thinker and a quick learner who can come up with several solutions to solve problems using analytics. He also assists th...

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Arun S Kumar

Software Engineer | IBS Software | Digital Innovation (DxI) | Nature Language Processing (NLP)

Arun's tech expertise includes working in Digital technologies, including Automation, Machine Learning (ML), Natural Language Processing (NLP), and Artificial Intelligence (AI). He holds experience in Banking, Insurance, Healthcare, and E-commerce domains. He is Certified in Machine Learning and Six...

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Shan Thiagarajan

Independent Consultant and Trainer (Data Science and Business Analytics) at Independent

Shanmugam is a Freelance Consultant/Trainer. He provides Consulting and Training in Data Science, Data Warehouse, Data Architecture, Database Technologies, Data Mining/Business Analytics, and Machine Learning. In addition, he's an expert with various ML prediction models....

--

Kumar Sundaram

Data Science & Analytics | Ex-Flipkart | DCE

Kumar's tech expertise includes Analytics/Machine Learning using SAS/R/Python/Tableau/Excel. He has extensive experience in building technical teams and products and vast experience in business development pertaining to schools, universities, and educational institutions by large. In addition, he ha...

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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

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100% Job Assurance

Our career services will introduce you to existing data science and analytics opportunities and ensure that you land your dream job.

icon

Profile Enhancement

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

icon

Resume Building

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

icon

Interview Prep

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

icon

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.

#10 Guaranteed Interviews

--

100% Job Assurance

Our career services will introduce you to existing data science and analytics 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 assurance.

--

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.

#10 Guaranteed Interviews

#10 Guaranteed Interviews

100% Job Assurance

100% Job Assurance

Our career services will introduce you to existing data science and analytics opportunities and ensure that you land your dream job.

Profile Enhancement

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

Resume Building

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

Interview Prep

Interview Prep

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

Career Mentoring

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.

#10 Guaranteed Interviews

#10 Guaranteed Interviews

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Imarticus Data Wars Hackathon

tick

Participate in the national-level data science hackathon

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Compete to solve a challenging data science problem

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Sharpen your data science application skills

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Enhance your CV by winning the hackathon

Top 3 Hackathon Winners

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Imarticus Data Verse Project Competition

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Participate in the national-level data science competition

tick

Create a data science project and nominate it for competition

tick

Showcase your data science skills for real-world applications

tick

Enhance your CV by winning the project competition

Top 3 Project Competition Winners

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Transform Your Career With Imarticus

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Shital Desai

Design Engineer

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Analyst- Payment Processing

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Ankita Saini

Inside Sales

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Analyst- Risk & Compliances

--

Vinith Kumar

Business Development Executive

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Analyst

--

Akshay Walgude

Customer Service Executive

--

Financial Analyst- Fund Accounting

--

Sacchit Shah

Civil Site Engineer

--

Data Analyst

--

Monisa Kamatchi

SEO Executive

--

Loan Processor

Imarticus Learning has placed more than 56,000 students in various industries.

Download Report

Build Your Success Story With Imarticus

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I am delighted to share that I got placed in a very reputed organisation because of Imarticus as they can bring your best out of you and you will not realise that when you become so good. The best part is their professors, They will guide you as your family or friends.

Rishabh Sharma

Ernst & Young

--

After completing my graduation in B.Com I chose a career in data analytics. Being from a non-technical background, this was quite new. Joining a course from Imarticus Learning has been my best decision. The trainers and coordinators were very polite and helpful. Thank you Imarticus for being a part of my journey.

Bipasha Sikarwar

CBRE

I wanted to build my career in analytics. Joining an Imarticus Learning course was a wise decision in this regard. The course provided me with an overview of the fundamentals of data analysis. The trainers and coordinators were very polite and helpful.

Archana Pandita

V mart

I loved the infrastructure of Imarticus Learning and its teaching methodology and easy access to recorded lectures. Even though I was from a non-technical background, they helped me understand the course at a basic level with clarity of concepts. Finally, I thank the placement team for helping me get placed in V-Mart Retail.

Akash Sharma

V mart

I am delighted to share with you the exciting news that I will soon join Tiger Analytics as a Senior Software Engineer.The team at Imarticus Learning created a great learning model and process that helped me prepare for multiple interviews.

Ankit Hiremath

Tiger Analytics

Imarticus played a vital role in starting my career in the data science field. Projects, exams, presentations, soft skill sessions and mock interviews helped me to get selected by one of the largest pure-play data science solutions and services companies, Saama Technologies. Thank you Imarticus for being a part of my journey.

Tejas Trivedi

Saama Technologies

Firstly, I thank Imarticus Learning for providing an opportunity to start my career in the data science field that I am passionate about. I appreciate their thorough support and guidance for our placements. Thanks for everything, Imarticus!

Harshitha Chippalaturthy

I gave 3 interviews and was selected for the 3rd one. The training and placements were good!

Jaideep Somarouthu

Thank you for your inspiring, relieving, insightful and energizing session! You opened up valuable new perspectives on my current situation. It is amazing, I was able to view my situation from a completely new angle in just an hour and see the road to my ultimate dream and solutions.

Shubham Bhunia

I am delighted to share that I got placed in a very reputed organisation because of Imarticus as they can bring your best out of you and you will not realise that when you become so good. The best part is their professors, They will guide you as your family or friends.

Rishabh Sharma

Ernst & Young

After completing my graduation in B.Com I chose a career in data analytics. Being from a non-technical background, this was quite new. Joining a course from Imarticus Learning has been my best decision. The trainers and coordinators were very polite and helpful. Thank you Imarticus for being a part of my journey.

Bipasha Sikarwar

CBRE

I wanted to build my career in analytics. Joining an Imarticus Learning course was a wise decision in this regard. The course provided me with an overview of the fundamentals of data analysis. The trainers and coordinators were very polite and helpful.

Archana Pandita

V mart

I loved the infrastructure of Imarticus Learning and its teaching methodology and easy access to recorded lectures. Even though I was from a non-technical background, they helped me understand the course at a basic level with clarity of concepts. Finally, I thank the placement team for helping me get placed in V-Mart Retail.

Akash Sharma

V mart

I am delighted to share with you the exciting news that I will soon join Tiger Analytics as a Senior Software Engineer.The team at Imarticus Learning created a great learning model and process that helped me prepare for multiple interviews.

Ankit Hiremath

Tiger Analytics

Imarticus played a vital role in starting my career in the data science field. Projects, exams, presentations, soft skill sessions and mock interviews helped me to get selected by one of the largest pure-play data science solutions and services companies, Saama Technologies. Thank you Imarticus for being a part of my journey.

Tejas Trivedi

Saama Technologies

Firstly, I thank Imarticus Learning for providing an opportunity to start my career in the data science field that I am passionate about. I appreciate their thorough support and guidance for our placements. Thanks for everything, Imarticus!

Harshitha Chippalaturthy

I gave 3 interviews and was selected for the 3rd one. The training and placements were good!

Jaideep Somarouthu

Thank you for your inspiring, relieving, insightful and energizing session! You opened up valuable new perspectives on my current situation. It is amazing, I was able to view my situation from a completely new angle in just an hour and see the road to my ultimate dream and solutions.

Shubham Bhunia

Program Fee

â‚ą 1,98,000

(Inclusive of all taxes)

Instalments

EMI Options

Registration Fees

â‚ą 10,000

Base Fee

â‚ą 1,88,000

Instalment 1

â‚ą 10,000

Instalment 2

â‚ą 65,200

Instalment 3

â‚ą 56,400

Moments Of Honour
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One of the World's Most Transformational Growth Companies in Digital Learning and Workforce Skilling in 2024
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Innovative 21st - Century Skills Solutions
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Most Promising Digital Learning Platform Brands
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Best Education Brand in Analytics
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Best Institute to Study Data Science 2023
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Edtech Business of The Year Analytics
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Best Full Stack Development Program
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Best Certification Courses
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Best Education Provider for Finance by Elets World Education Summit 2024
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Outstanding Education Company for Data Science and Analytics in 2024

FAQs

KPMG in India and Imarticus will deliver co-branded seminars, round tables, and industry reports related to Analytics. You will gain industry expertise and learn the latest developments in the analytics field with industry experts. KPMG in India will assess and award projects submitted by you for the Data Science Project competition. Winning students get a KPMG-branded certificate, improving their employability.

In almost every sector, artificial intelligence influences how people will live in the future. It already serves as the primary force behind developing technologies like big data, robotics, and the IoT, and it will continue to do so for the conceivable future.

Starting salaries for recent graduates in artificial intelligence positions range between Rs. 6 LPA and Rs. 12 LPA on average, with top-tier employers providing significantly higher compensation.

To understand the theory and the methods employed, you must have a background in engineering, physics, math, or statistics.

Artificial Intelligence and Machine Learning reduce the amount of time and money needed to complete complex tasks. They make multitasking possible and lighten the demand for available resources. AI/ML may be used across industries and has a large market potential. AI/ML helps in decision-making by accelerating and improving the process. It improves the capabilities of people with disabilities.

This program is ideal for working professionals with up to 5 years of experience looking for a career transition into data science, machine learning and AI.This course best suits the following roles: Software Developer, Tester, QA, Networking professional, System Admin, Product and Program management professionals, MIS professionals, dashboard/BI professionals, Business Ops/Finance/Supply chain professional (Analyst or Manager roles), Marketing analytics. *Current CTC should be below 9 LPA and experience below 5 years.

The full-time weekend program is a 9-month program conducted on weekends for working professionals. You will attend live sessions on Saturday and Sunday each week. Please connect with your advisor to check the schedule and time.

The core learning will happen via classroom or online live lectures depending upon the batch selected. In addition, you will get recordings of the lectures for revision at your own convenience. You will also have access to student notes, practice projects, additional study material and quizzes on our fully-integrated online learning portal.





To be eligible for interview opportunities, candidates must meet the following criteria:
  • Grades should be at least 40%
  • Pass all Imarticus mock interviews and the capstone project evaluation
  • Have an average attendance of at least 80% for each module

Our career services provide vital support to our students to prepare themselves for job opportunities. It includes the following:

The PG Program in Machine Learning and Artificial Intelligence costs INR 2,25,000/-.

A hackathon is an online competition where candidates solve a complex business problem within a limited timeframe. Our hackathons allow you to compete with numerous students and stand out from the crowd. Hackathons are known to teach critical thinking capabilities to data science aspirants and push them to perform better. Hiring managers prefer to hire winners of data science hackathons.

The program manager will work closely with you throughout the course to facilitate a better learning experience by resolving your queries and connecting you with trainers and industry experts. They will also discuss your progress, grades, attendance, and other key elements associated with your progress. They will provide the guidance and support you need to meet your career objectives.
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