Start your Data Science career with India’s #1 online Data Science programme, which is matched to NASSCOM’s competence requirements created in partnership with industry and government approval. Begin your adventure today at INR 7,992 per month.
Eligibility: Bachelor’s degree with a minimum of 50% required.
Concerning the Program-
Choose from six specialities, benefit from professional mentorship and career assistance, and study 14+ programming tools and languages, among other things.
6 Distinctive Specializations
Depending on your experience and professional goals, you can choose from six specialities. IIITB offers an Executive PGP in Data Science with a specialty.
Dedicated Career Support
You’ll get one-on-one career counselling and simulated interviews with recruiting managers. Our 300+ hiring partners can help you advance your career.
Student Assistance
For your convenience, Student Support is accessible 24 hours a day, 7 days a week. Use the platform’s Call Back option for urgent questions.
Overview of the Program Highlights
Python Programming Bootcamp is provided free of charge.
Designed for Working Professionals, the Career Essential Soft Skills Program
Status of IIIT Bangalore Alumni 14+ Programming Languages and Tools
60+ Projects in the Industry
The first EPGP in India SSC NASSCOM Competency Standards are followed.
For your convenience, Student Support is accessible 24 hours a day, 7 days a week.
Sessions of career mentoring (1:1)
High-Performance Coaching High-Performance Coaching is a portal that provides exclusive job possibilities (1:1)
Just-in-Time Interviews are a type of interview that takes place when it is most convenient
Personalised Industry Session with AI-Powered Profile Builder
Assessments of Industry Readiness
Bootcamp for Professional Development
Top Skills You’ll Pick Up
Machine Learning, Data Visualization, Big Data, and Natural Language Processing are all examples of predictive analytics utilising Python.
Jobs Available
Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, and Decision Scientist are all terms used to describe people who work with data.
For Whom Is This Program Intended?
Freshers, Domain Experts, Software & IT Professionals, Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals
Minimum Qualifications
A bachelor’s degree with a minimum of 50% or equivalent passing grades is required. There’s no need to know how to code.
Syllabus
Best-in-class information from top academics and industry experts in the form of videos, cases and projects, assignments, and live sessions.
Content Data
Analysis in Excel Analytics Problem Solving
Content Data Analysis in Excel Analytics Problem Solving
The Data Toolkit is the first course.
2 Assignments in 13 Weeks
Python Programming for Data Science (Introduction to Python Programming in Python)
Credit EDA Case Study Data Visualization in Python Exploratory Data Analysis
Data Analysis with SQL Advanced SQL & Best Practices Inferential Statistics Hypothesis Testing
RSVP Movies is a SQL assignment.
Machine Learning (Course 2)
8-Week Program
3 different assignments
Regression Linear
Assignment on Linear Regression
Logistic Regression is a technique for predicting the outcome of
Clustering Business Problem Solving Through Unsupervised Learning
Assigning Clusters (Optional)
Lead Scoring as a Case Study
Deep Learning is a specialisation.
4 Assignments in 25 Weeks
Models of Trees
Model Selection and ML Techniques in General
Advanced Regression Assignment Advanced Regression Bagging and Boosting
Analyze the Principal Components
Analysis of Time Series
Case Study on Telecom Churn
Neural Networks: An Overview
Introduction to Convolutional Neural Networks and Industry Applications
Assignment for CNN
Recurrent Neural Networks (RNNs) are a type of neural network that
Capstone Project on Gesture Recognition
Natural Language Processing Specialization 25 Weeks 4 Assignments
Models of Trees
Model Selection and ML Techniques in General
Analyze the Principal Components
Advanced Regression Assignment Advanced Regression
Time Series Analysis: Bagging and Boosting
Telecom Case Study of a Churn
Lexical Analysis
Syntactic Analysis
-Assignment on Syntactic Processing
Automatic Ticket Classification Capstone Project Using Neural Nets for NLP Semantic Processing
Business Analytics Specialization 25 Weeks 9 Assignments
Models of Trees
Model Selection & General Machine Learning Techniques Time Series Forecasting Retail-Giant Sales Forecasting Assignment
Tableau Advanced Excel Visualization
Telecom Case Study of a Churn
Using Frameworks to Solve Structured Problems
Assignment Operations for Structured Problem Solving Business Case Study on Research Data Storytelling
Project Capstone
Business Intelligence/Data Analytics Specialization 25 Weeks 9 Assignments
Advanced SQL and Best Practices for Data Modeling
Advanced Excel NoSQL Databases and MongoDB SQL Weeklong Lab Introduction to Big Data and Cloud Hive and Querying Hive Case Study
Tableau is used to visualise data.
IPL Visualization Assignment – Sports Analytics
Data Storytelling Business Case Study Capstone Project Visualization using PowerBI Visualization with Plotly
Data Engineering is a 25-week specialisation with 11 assignments.
Big Data: An Overview (Optional)
AWS Setup and Introduction to the Cloud
Assignment on Hadoop and MapReduce Programming (Introduction to Hadoop and MapReduce Programming) (Optional)
Relational Database Modeling and Data Management NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB (Optional)
Data warehousing is a term that refers to the process of storing (Optional)
Data Ingestion and Querying with Apache Sqoop and Apache Flume Hive (Optional)
Redshift is a service provided by Amazon.
Apache: An Overview ETL Data Pipeline Project in Spark
Cloud Infrastructure on AWS (Optional)
Using Apache Flink to Optimize Spark for Large-Scale Data Processing (Optional)
Apache Kafka for Real-Time Data Streaming
Spark Streaming Assignment: Real-Time Data Processing (Optional)
Project: Real-time data processing Capstone Project: Building Automated Data Pipelines using Airflow Analytics using PySpark
Data Generalist Specialization 25 Weeks 5 Assignments
Boosting Tree Models (Optional)
Model Selection and ML Techniques in General
Case Study on Telecom Churn (Optional)
Analyze the Principal Components
Classification (ML Lab I)
Advanced Regression + Machine Learning (ML) Lab 2: Regression
Text-Based Predictive Modeling + Text Analytics & Processing
Tableau is used to visualise data.
Business Case Study on Data Storytelling
Advanced SQL Data Modeling – Week 2
Data Structures in SQL Weeklong Lab – Sets, Dictionaries, Stacks, and Queues
Recursion + Algorithm Analysis
Sorting and Searching
I am participating in a week-long Python lab.
Weeklong Lab-II Capstone Project in Python
Choose one of the six specialisations below based on your experience and professional goals after completing Course 2 (Machine Learning).
Deep Learning
4 Assignments in 25 Weeks
Models of Trees
Model Selection and ML Techniques in General
Advanced Regression Bagging and Boosting
Assignment on Advanced Regression
Analyze the Principal Components
Analysis of Time Series
Case Study on Telecom Churn
Neural Networks: An Overview
Introduction to Convolutional Neural Networks and Industry Applications
Assignment for CNN
Recurrent Neural Networks (RNNs) are a type of neural network that
Capstone Project on Gesture Recognition
Natural Language Processing (NLP) is a 25-week course with four assignments.
Models of Trees
Model Selection and ML Techniques in General
Analyze the Principal Components
Advanced Regression Assignment Advanced Regression
Time Series Analysis: Bagging and Boosting
Case Study on Telecom Churn
Lexical Analysis
Syntactic Analysis
-Assignment on Syntactic Processing
Neural Networks in Natural Language Processing
Automatic Ticket Classification Capstone Project: Semantic Processing Case Study
Business Analytics is a 25-week course with nine assignments.
Models of Trees
Model Selection & General Machine Learning Techniques Time Series Forecasting Retail-Giant Sales Forecasting Assignment
Tableau Advanced Excel Visualization
Case Study on Telecom Churn
Using Frameworks to Solve Structured Problems
Assignment Operations for Structured Problem Solving Capstone Project: Research Data Storytelling Business Case Study
Data Analytics/Business Intelligence 25 Weeks 9 Assignments
Advanced SQL and Best Practices for Data Modeling
Advanced Excel NoSQL Databases and MongoDB SQL Weeklong Lab
Introduction to Big Data and Cloud Hive, as well as a case study on querying Hive
Tableau is used to visualise data.
IPL Visualisation Assignment Visualisation using PowerBI Visualisation using Plotly Data Storytelling Business Case Study Capstone Project Sports Analytics – IPL Visualisation
Data Engineering is a 25-week course with 11 assignments.
Big Data: An Overview (Optional)
AWS Setup and Introduction to the Cloud
Assignment on Hadoop and MapReduce Programming (Introduction to Hadoop and MapReduce Programming) (Optional)
Relational Database Modeling and Data Management NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB (Optional)
Data warehousing is a term that refers to the process of storing (Optional)
Data Ingestion and Querying with Apache Sqoop and Apache Flume Hive (Optional)
Redshift is a service provided by Amazon.
Apache: An Overview ETL Data Pipeline Project in Spark
Cloud Infrastructure on AWS (Optional)
Using Apache Flink to Optimize Spark for Large-Scale Data Processing (Optional)
Apache Kafka for Real-Time Data Streaming
Spark Streaming Assignment: Real-Time Data Processing (Optional)
Using PySpark to create automated data pipelines with Airflow Analytics
Project: Capstone Project on Real-Time Data Processing
25 Weeks as a Data Generalist
a total of five assignments
Boosting Tree Models (Optional)
Model Selection and ML Techniques in General
Case Study on Telecom Churn (Optional)
Analyze the Principal Components
Classification (ML Lab I)
Advanced Regression + Machine Learning (ML) Lab 2: Regression
Tableau Text Analytics and Processing + Text-Based Predictive Modeling Visualization
Business Case Study on Data Storytelling
Week 2 SQL Weeklong Lab Data Structures – Sets, Dictionaries, Stacks, Queues Data Modelling Advanced SQL – Week 2 SQL Weeklong Lab
Recursion + Algorithm Analysis
Sorting and Searching
I am participating in a week-long Python lab.
Weeklong Lab-II Capstone Project in Python
Projects in the Industry
Real-world industry initiatives sponsored by prominent firms in a variety of areas provide opportunities to learn.
Participate in collaborative projects that include interaction between students and mentors.
Take advantage of the opportunity to learn from skilled mentors in person.
Subjective feedback on your contributions that is tailored to you in order to help you develop.
The Benefits of Upgrad
Hand-holding and devoted support to assist you in mastering Data Science
Interactive Live Sessions with Leading Industry Experts covering Curriculum + Advanced Topics Industry Expert Guidance
Personalised Industry Sessions with industry experts in small groups (of 10-12) to supplement programme content with unique industry-based learning
Student Assistance
For your convenience, Student Support is accessible 24 hours a day, 7 days a week.
Use the platform’s Call Back option for urgent questions.
Sessions of Career Mentorship (1:1)
Receive individualised feedback and mentoring from a seasoned industry expert to help you reach your goals.
Coaching for High Performance (1:1)
After completing the programme, you will be assigned a specialised career coach who will assist you in tracking your professional objectives, coaching you on your profile, and providing assistance during your career transition.
Profile Builder using Artificial Intelligence
On a real-time basis, get detailed, AI-powered inputs on your resume and Linkedin format, as well as content.
Preparing for an Interview
Before your interview, talk to industry experts and ask any questions you have.
Career bootcamps are a great way to brush up on your technical knowledge while also honing your soft skills.
Experiential Learning & Networking
Technical professionals monitor a live discussion forum for peer-to-peer doubt resolution.
Lab walkthroughs of industry-driven projects Peer to peer networking opportunities with a pool of over 10,000 alumni
Weekly meetings for resolving doubts in real time
Assessments of Industry Readiness
For continual assessment and development, domain specialists create and validate industry-oriented tests.
Possibilities for advancement in upgrad
Elevate by upGrad: A virtual hiring drive that allows you to interview with upGrad’s 300+ hiring partners.
Portal for Job Openings: At any one time, upGrad’s Job Opportunities page includes 100+ positions from upGrad’s hiring partners.
To obtain an advantage in the application process, be the first to learn about job openings.
Make contact with firms that are a good fit for you.
Frequently Asked Questions
Q. What is the Executive PGP with upGrad in Data Science?
Ans. The Executive PGP is a 12-month online programme that focuses on developing practical knowledge and abilities, building a professional network, and accelerating entrance into data science employment for working professionals. IIIT Bangalore bestows the certification.
Q. Do I have to select the specialisation that upGrad recommends?
Ans. No. Once you’ve completed the main curriculum, you can pick any speciality you like. However, we strongly advise you to follow our advice, since it is based on a complex rule engine and is designed to offer you with the greatest conclusion for your background, making it simpler for you to transition to a data career.
Q. Will each specialty provide me with unique professional services?
Ans. Each specialty is created to provide you with the best results possible depending on your background and to assist you in entering the data domain. All of the tracks’ services and support will stay the same. According to the criteria in their specialised track, each student will get live sessions, industry mentorship, preparation help, and access to relevant possibilities.
Q. What criteria should I use to determine which specialty is appropriate for me?
Ans. When you’re reaching the conclusion of your common curriculum, upGrad will make a suggestion based on your background that’s ideal for you. Although the final upGrad advice would come from a far more extensive rule engine, the following mapping should give you a sense of which specialty is suitable for you.
-Data Science Generalist: Professionals with 0-5 years of experience who want to advance in Data Science.
-Engineers, software developers, and IT professionals are all interested in deep learning.
-Engineers, Software Developers, and IT Professionals – Natural Language Processing
-Engineers, Marketing and Sales Professionals, Freshers – Business Intelligence/Data Analytics
– Engineers, Managers, Marketing and Sales Professionals, Domain Experts in Business Analytics
– Software and IT Professionals: Data Engineering
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