Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The Executive PG Programme in Data Science has been developed by NASSCOM and approved by the government. It will enable you to specialise in any one of the different components of Data Science. These include Business Intelligence, Business Analytics, and Deep Learning. Additionally, you can choose to specialise in Data Engineering or Natural Language Processing.
The programme is year-long. Throughout the Data Science PG Course, you will be taught by industry experts and will also receive mentorship to kick-start your career. Additionally, you can choose to attend a complimentary Python Programming Bootcamp. Among other things, you will learn about 14 programming tools in the course.
After you complete the Data Science programme, you will receive a certificate. You will also be eligible for IIT Bangalore alumni status. The course will open numerous career opportunities for you in the field of Data Science. Most importantly, you will be provided career support through mock interviews and 1:1 counselling.
The Highlights
- 12-month course
- Designed by NASSCOM
- Government-approved
- Live learning sessions
- EMI options on fee payment
- IIT Bangalore alumni status
- Career support
- Mentoring
- Taught by industry experts
- Python Programming Bootcamp
- 60+ industry projects
- 14+ programming tools
- Student support available
- Industry oriented
- Six specialisations to choose from
Programme Offerings
- Industry Projects
- Programming Tools
- Python Bootcamp
- IIT Bangalore alumni status
- Career Counselling
- Industry mentors
- 12-month course
- Specialisation
- student support
- Live learning sessions
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIIT Bangalore |
- The fees for the Executive PGP in Data Science can be paid using EMI options. To know more, visit https://www.upgrad.com/data-science-pgd-iiitb/.
Executive PG Programme in Data Science fee structure
Course Name | Fee |
Executive PG Programme in Data Science | Rs. 3,25,000 (including GST) |
Eligibility Criteria
The minimum eligibility criteria to join the Data Science course is a Bachelor’s Degree with at least 50% marks. You do not need to have prior experience in coding.
Certificate qualifying details
You will receive a course completion certificate jointly from upgrad and FutureSkills NASSCOM. Again, once the courses along with specializations are complete, you shall be deemed to be eligible for recognition from IIITB
What you will learn
The Data Science syllabus will provide you ample knowledge of:
- Natural Language Processing
- Data Visualisation
- Predictive Analysis using Python
- Machine Learning
- Big Data
Who it is for
Admission Details
Step 1: To enrol in the Data Science certification, visit https://www.upgrad.com/data-science-pgd-iiitb/.
Step 2: Enter your contact number to begin your application. Alternatively, you can use your email.
Step 3: Clear the selection test.
Application Details
The application form for the Data Science PG programme will be filled out online. To access the application form, visit the course page. Start your application using your mobile number or email id.
The Syllabus
- Analytics Problem Solving
- Data Analysis in Excel
- Credit EDA Case Study
- Hypothesis Testing
- Maths for Data Science
- Exploratory Data Analysis
- Python for Data Science
- Programming in Python
- Introduction to Python – I
- Advanced SQL
- Inferential Statistics
- IMDb Movie Assignment
- Visualisation in Python
- Data Analysis using SQL
- Introduction to Python – II
- Linear Regression Assignment - Bike Sharing Systems
- Unsupervised Learning: Clustering
- Clustering Assignment (Optional)
- Business Problem Solving
- Logistic Regression
- Introduction to Machine Learning and Linear Regression
- Case Study: Lead Scoring
- Tree Models
- Principal Component Analysis
- Advanced Regression Assignment
- Time Series Analysis
- Introduction to Neural Networks
- Convolutional Neural Networks - Introduction and Industry Applications
- Gesture Recognition
- Recurrent Neural Networks
- Capstone Project
- Neural Networks Assignment
- Telecom Churn Case Study
- Bagging and Boosting
- Advanced Regression
- Model Selection & General ML Techniques
- Capstone Project
- NLP Industrial Applications
- Assignment - Natural Language Processing
- Text Processing
- Time Series Analysis
- Advanced Regression Assignment
- Principal Component Analysis
- Tree Models
- Chatbot Case Study
- Intro to DL
- Feature Extraction & modelling
- Telecom Churn Case Study
- Bagging and Boosting
- Advanced Regression
- Model Selection & General ML Techniques
- Time Series Forecasting
- Model Selection & General ML Techniques
- Advanced Excel
- Structured Problem-Solving using Frameworks
- Operations Research
- Operations Research Case Study
- Tree Models
- Retail-Giant Sales Forecasting Assignment
- SQL Best Practices
- Telecom Churn Case Study
- Structured Problem-Solving Assignment
- Data Storytelling
- Capstone Project
- Data Modelling
- SQL Assignment: IMDb Movies
- NoSQL Databases and Best Practices
- Hive and Querying
- Visualisation using Tableau
- Visualisation using PowerBI
- Data Storytelling
- Capstone Project
- SQL Best Practices
- Advanced Excel
- Introduction to Big Data and Cloud
- Hive Case Study
- Sports Analytics - IPL Visualisation Assignment
- Visualisation using Plotly
- Plotly Case Study
- Introduction to Cloud and AWS Setup
- MapReduce Programming Assignment (optional)
- NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB (optional)
- Data Ingestion with Apache Sqoop and Apache Flume
- Hive Assignment (optional)
- Introduction to Apache Spark
- Project: ETL Data Pipeline
- Apache Flink (optional)
- Real-Time Data Processing using Spark Streaming
- Building Automated Data Pipelines with Airflow
- Classification Assignment (optional)
- Capstone Project
- Project: Real-Time data processing
- Analytics using PySpark
- Stock data Analysis Assignment (optional)
- Real-Time Data Streaming with Apache Kafka
- Optimising Spark for Large Scale Data Processing
- NYC Parking Assignment (optional)
- Amazon Redshift
- Hive & Querying
- Data Warehousing (optional)
- Data Management and Relational Database Modelling
- Introduction to Hadoop and MapReduce Programming
- Introduction to Big Data (optional)
Instructors
IIIT Bangalore Frequently Asked Questions (FAQ's)
After finishing the Data Science programme, you can seek employment as a Data Engineer, Machine Learning Engineer, or Decision Scientist. You can also work as a Data Analyst or Product Analyst after completing the course.
You can opt for your specialisation after completing the Machine Learning module of the Data Science certification.
You will be taught through live learning sessions, projects, assignments, and case studies.
You will be expected to devote about 12-13 hours per week to the Data Science course.