Postgraduate Program In Data Science And Analytics
Build Your Data Science and Analytics Career with Our 100% Job Assurance Course
For fresh graduates/Early career professionals with Tech background
Weekday
Classroom & Live Online Training
10 Guaranteed Interviews
6 Months Program
25+ Projects
10+ Tools
15000+
Students Placed
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22.5LPA
Highest Salary
52%
Average Salary Hike
2000+
Hiring Partners
15000+
Students Placed
22.5LPA
Highest Salary
52%
Average Salary Hike
2000+
Hiring Partners
15000+
Students Placed
22.5LPA
Highest Salary
52%
Average Salary Hike
2000+
Hiring Partners
Our Alumni Work At
Join The Best Data Science And Analytics Course
Take your career to new heights with our data science and analytics course, meticulously designed to foster the skills required for the modern data analyst. Every step of this data science course is designed to help you land your dream job as a data scientist. This 100% Job Assurance program is ideal for recent graduates and professionals who want to develop a successful data science and analytics career.
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.
Curriculum
Our leading edge curriculum covers fundamentals and more advance data science & analytics concepts with a complete hands-on approach. We’ve followed a 360-degree holistic approach to ensure that you are job ready by the end of the course, even if you don’t have any programming knowledge.
Our Integrated Skills for Professional Excellence (ISPE) Sessions offer essential guidance on starting and prioritising your learning. These sessions provide a deep understanding of domain essentials and equip you with the professional and interpersonal skills needed to thrive in today’s competitive job market.
What Will You Achieve?
Gain expertise in data analysis, visualisation, storytelling, and problem-solving.
Enhance strong communication, presentation, interpersonal skills, and critical thinking.
Topics
PowerPoint for Corporate
Canva- Designing
Problem Solving- Guesstimates
Mastering Fundamentals of Excel
The Art of Storytelling Using Excel
Art of storytelling using PowerBI
What is Data Science & Importance of Data
Exploratory Data Analysis
Introduction to Machine Learning
Data Storage & fundamentals of Databases
Python Bootcamp - Start Your Tech Adventure
Nonverbal cues - Body Language, which is very vital for interview purposes
Personality Development and Confidence Building
FAQs - Interview Prep - Throwing some insights on how to answer these questions
Word Power and Vocabulary Building
SMART Technique for Productivity
Foundation
Get started by understanding the core fundamentals of data
The module covers the basics of Excel for data science. Learn Excel essentials to get a 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 Formulas
Data Validation
Calculations
Lookup and Reference
Pivot Tables
Charts
What-if Analysis
The module introduces learners to SQL programming. Learn how to query data from databases and create datasets for data analysis.
What Will You Achieve?
Build a strong foundation of SQL 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
Core Track
Gain practical exposure to tools like Excel, SQl, Python & more, so that you learn by doing.
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
Introduction to Python
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
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
Heat Map
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
This module provides a comprehensive introduction to cloud computing, including AWS services, web development fundamentals using HTML, Flask, and Visual Studio, and practical experience deploying applications on AWS EC2
What Will You Achieve?
Understand cloud concepts.
Learn to use AWS services
Build and deploy web applications
Topics
What is Cloud Computing?
Advantages & Disadvantages of Cloud Computing
Infrastructure as a Service (IAAS)
Platform as a Service (PAAS)
Software as a Service (SAAS)
Major Players in Cloud Computing
Introduction to AWS
AWS Building Blocks
AWS well architected framework – six pillars
AWS Cloud Tour
Build a Simple Regression Model
Steps to install Visual Studio
Writing HTML Script
Web Application through Flask
What is Amazon EC2
Getting started with EC2
Step by step deployment
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
Data Modelling
DAX
Visual Data Analytics
Data Visualization
Advanced Track
Master core ML/DL concepts and build impactful real-world applications.
This module explores advanced machine learning topics, including ensemble methods (Bagging, Boosting) and frequent pattern mining. You'll learn through practical projects and gain valuable skills.
What Will You Achieve?
Sharpen ML skills through projects
Learn advanced ML skills
Topics
Ensemble Techniques
What is Ensembling?
Bootstrap Method
Bagging
Boosting
XGBoost
AdaBoost
Frequent Pattern Mining
Market Basket Analysis
Association rule mining
Apriori Algorithm
Practical Problem
Advantages/Disadvantages of Apriori
Introduction to RFM Analysis
What is Recency?
What is Frequency?
What is Monetary?
Data Requirements
Calculating RFM
Benefits of RFM
Project - Customer Segmentation using RFM model
This module explores Deep Learning (DL) and Artificial Intelligence (AI), focusing on Convolutional Neural Networks (CNNs) for computer vision, Recurrent Neural Networks (RNNs) for Natural Language Processing (NLP), and transfer learning techniques.
What Will You Achieve?
Master core DL/AI concepts and algorithms
Develop practical projects in CV and NLP
Topics
Introduction to Deep Learning
Introduction to Artificial Neural Network
Parts of Neural Network
Input, Hidden and Output Node
What's happening inside Neural Network?
Forward and backward propagation
Optimization Algorithms
- - Gradient Descent
- - Batch Gradient Descent
- - Stochastic Gradient Descent (SGD)
- - Adam
Mean Squared Error
Binary Cross Entropy
Categorical Cross Entropy
Sparse Categorical Cross Entropy
What is CNN?
CNN Architecture
Intro to OpenCV
What is NLP?
Typical NLP Tasks
Sentence Segmentation & Tokenization
Stemming, Lemmatization
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
What is RNN?
RNN Architecture
Project - Fake v/s Real News Detection using RNN
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 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:
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:
Targeted Marketing
Build a predictive model to predict the property valuations.
Learn how analytics is used by real-estate companies.
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.
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.
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.
Climate Change Analysis
Perform in-depth analysis to study climate change over the years.
Learn how researchers use analytics for environmental studies.
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.
Property Value Prediction
Create a predictive model to calculate property values.
Find out how real estate firms use analytics.
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.
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.
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.
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.
Climate Change Analysis
Perform in-depth analysis to study climate change over the years.
Learn how researchers use analytics for environmental studies.
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.
Property Value Prediction
Create a predictive model to calculate property values.
Find out how real estate firms use analytics.
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
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.
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.
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.
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.
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.
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'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.
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...
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...
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...
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
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 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.
#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.
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.
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
Dhanashree Gowda
Marketing Manager
Data Analyst
Jagdish Bhapkar
B.E Mechanical
Data Analyst
Varun HM
Assistant Engineer
Data Analyst
Chinmay Paranjpe
Masters in Mathematics
Associate Analyst
Apurva Salunkhe
Assistant Professor
Analyst
Avinash Karthikeyan
B.Sc.
Analyst
Imarticus Learning has placed more than 56,000 students in various industries.
Download Report
Build Your Success Story With Imarticus
Imarticus Learnings PG Program in Data Science and Analytics is exceptional, with expert faculty simplifying complex concepts for all learners. The course aligns with industry standards, balancing theory and practice, while offering excellent career support and job placement assistance.
Vinayak Patnaik
MSCI
Imarticus Learnings Data Analyst course was comprehensive, blending key concepts with practical skills. Engaging faculty and strong placement support ensured a smooth career transition, making it a well-rounded learning experience for data analytics.
Shrikant Mythrala
Reliance General Insurance
I am grateful to Imarticus for allowing me to enhance my data analytics skill sets. I learned various tools like Python, machine, deep learning, and many more which helped me to boost my career. Not only that but also they guide me to get a junior data analyst role at one of the esteemed organizations like Tech Mahindra.
Manish Singh
Tech Mahindra
PG in Data Science and Analytics has been rewarding. Training covers fundamental and advanced concepts with approachable, knowledgeable faculty. The facultys real-world industry experience adds significant value. Exceptional placement and career services have prepared me for a successful career in data science
Himanshu Gangurde
Franklin Temptation
Imarticus Learning provided an enriching experience with excellent teaching, practical projects, skill-building tests, and strong placement support, greatly enhancing my professional growth.
Aniketh Gattupelli
Kotak Mahindra Bank
Completing the PG Certificate in Data Analytics and Machine Learning was transformative. The comprehensive curriculum and practical insights enhanced my skills for real-world applications. Grateful to professors Jagruti Pawashe and Nikita Tandel, I highly recommend this program to aspiring Data Science professionals.
Jay Rathod
Neosof
I had a great experience with knowledgeable faculty who clarified my doubts and helped secure a placement. I highly recommend this program for enhancing skills and career prospects.
A Divya
I highly recommend Imarticus Learning for upskilling. They have knowledgeable trainers and they teach using a good mix of theory and hands-on practical learning. After the program, I felt confident about my new skill set and soon secured placement in an industry-leading company. Thank you to all the trainers and the placement team.
Dinesh Malappagari
Imarticus transformed my data career! Their Analytics and Machine Learning program helped me land my dream job at Jio Haptik. The practical training and guidance were invaluable. Highly recommend Imarticus for upskilling and career growth!
Kaushiki Gupta
Program Fee
₹ 1,98,000
(Inclusive of all taxes)
Instalments
EMI Options
Registration Fees
₹ 15,000
Instalment 1
₹ 70,200
Instalment 2
₹ 56,400
Instalment 3
₹ 56,400
Moments Of Honour
One of the World's Most Transformational Growth Companies in Digital Learning and Workforce Skilling in 2024
Innovative 21st - Century Skills Solutions
Most Promising Digital Learning Platform Brands
Best Education Brand in Analytics
Best Institute to Study Data Science 2023
Edtech Business of The Year Analytics
Best Full Stack Development Program
Best Certification Courses
Best Education Provider for Finance by Elets World Education Summit 2024
Outstanding Education Company for Data Science and Analytics in 2024
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.
Attend multiple job assurance with our hiring partners to grab the most suitable job for you.
Resume-building:WRedesign 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.
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