Executive PG Programme in Data Science
Join the Executive PG Programme in Data Science by upGrad to acquire the necessary data science skills and kick-start your career in data science.
Online
12 Months
3,15,000 INR 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
- 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. 3,15,000 (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
- Conditional Probability and Probability Distributions
- Advanced Linear Algebra and Linear Transformations
- Multivariate Calculus
- GenAI for Coding and Problem-Solving
- Object-Oriented Programming
- Python Data Science Libraries
- Database Design and SQL Querying
- Introduction to NoSQL Databases
- Version Control
- Data Analysis with Python
- Exploratory Data Analysis
- Inferential Statistics and Hypothesis Testing
- Cloud Computing with AWS / GCP / Microsoft Azure
- Big Data Analysis with PySpark
- Machine Learning Paradigms
- Linear and Logistic Regression
- K Nearest Neighbors
- Regularisation and Hyperparameter Tuning
- Decision Trees and Ensembles
- Clustering Models
- Deep Learning Fundamentals
- Convolutional and Recurrent Neural Networks
- Lexical / Syntactic / Semantic Processing
- Support Vector Machines
- Naive Bayes
- Feature Engineering and Model Selection
- Dimensionality Reduction
- Time Series Analysis
- Association Rule Mining
- Recommendation Systems
- Explainable AI
- Advanced Excel and Power BI with Copilot
- Advanced Tableau
- Data Storytelling Principles
- Machine Learning with PySpark
- Fundamentals of GenAI and Prompt Engineering
- Google Looker Studio
- Advanced Prompt Engineering
- Large Language Model (LLM) Frameworks such as LangChain
- GenAI ChatBot System Design and Development
- Data Security and Governance
- AI Ethics and LLM Security
- Requirements Gathering and Guesstimates
- Business Problem Solving and Project Management
- Data Science Applications in Finance and Ecommerce
- Distributed Data Processing with Hadoop Framework
- Data Ingestion with Sqoop/Flume and HBase Data Querying with Hive
- Cloud Native SQL Databases such as Amazon Aurora, Google Spanner, and Azure SQL
- Cloud Native NoSQL Databases such as Amazon DynamoDB, Google BigTable, and Azure Cosmos DB
- Linux and Java Programming
- Datawarehousing and Cloud Data Warehousing
- Cloud Data Warehouses such as Amazon Redshift, Google BigQuery, and Azure Synapse Analytics
- Understanding ETL and ELT Pipelines
- Advanced Data Modeling Concepts and Techniques
- End-to-End Data Pipelining Fundamentals
- Pipeline Automation with AWS Lambda, GCP Functions, and Azure Automation
- Data Monitoring with Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor
- Feature Stores and Vector Databases
- Real-Time Processing with Flink and Kafka
- Real-Time Analytics with Spark Streaming
- Real-Time Analytics with Amazon Kinesis, Google Cloud Pub/Sub and DataFlow, Azure Stream Analytics and Event Hub
- Multicloud and Hybrid Cloud Operating Principles
- Scala
- Data Build Tool (DBT)
- Azure Data Factory
- Modern NoSQL Databases
- Infrastructure as Code (IaC) with Terraform
- Data Architecting Principles
- Data Security and Governance
- Decentralized Governance and Data Mesh
- Skills acquired
- AWS
- GCP
- Microsoft Azure
- Hadoop
- Hadoop MapReduce
- HBase
- Hive
- Sqoop
- Flume
- Am
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.