Executive Post Graduate Programme in Data Science
Executive Post Graduate Programme in Data Science
Kick-start your Data Science journey with India’s #1 online Data Science program, aligned to competency standards developed by NASSCOM in collaboration with industry and approved by government. Start your journey today at INR 6,907 per month.
Eligibility: Bachelor’s degree with 50% mandatory.
5 out of 6 learners get positive career growth
upGrad Results reviewed by Deloitte
Programme Overview
Key Highlights
- Complimentary Python Programming Bootcamp
- Career Essential Soft Skills Program
- Designed for Working Professionals
- IIIT Bangalore Alumni Status
- 14+ Programming Tools & Languages
- 60+ Industry Projects
- India’s 1st EPGP Aligned to SSC NASSCOM Competency Standards
- Equivalent to NSQF (National Skill Qualification Framework) level 8
- Student support is available 7 days a week, 24*7.
- Career mentorship Sessions(1:1)
- Exclusive Job opportunities Portal
- High Performance Coaching(1:1)
- Just-in-Time Interviews
- AI Powered Profile Builder
- Personalised Industry Session
- Career Bootcamp
- No Cost EMI Option
- Daily Doubt Resolution Support
Apply for the course
Pre-Programme Preparatory Content
1
Data Analysis in Excel
2
Analytics Problem Solving
Course 1: Data Toolkit
1
Introduction to Python
2
Programming in Python
3
Python for Data Science
4
Data Visualization in Python
5
Exploratory Data Analysis
6
Credit EDA Case Study
7
Inferential Statistics
8
Hypothesis Testing
9
Data Analysis using SQL
10
Advanced SQL & Best Practices
11
SQL Assignment: RSVP Movies
Course 2 - Machine Learning - I
1
Linear Regression
2
Linear Regression Assignment
3
Logistic Regression
4
Classification using Decision Trees
5
Unsupervised Learning: Clustering
6
Basics of NLP and Text Mining
7
Business Problem Solving
8
Case Study: Lead Scoring
Specialisation - Deep Learning
1
Bagging & Random Forest
2
Boosting
3
Model Selection & General ML Techniques
4
Principal Component Analysis
5
Advanced Regression
6
Advanced ML case Stuy
7
Time Series Analysis
8
Introduction to Neural Networks and ANN
9
Neural Network Assignment
10
Convolutional Neural Networks
11
Convolutional Neural Networks -Industry Applications
12
Object Detection & Image Segmentation (Optional)
13
Recurrent Neural Networks
14
Gesture Recognition
15
Capstone Project
Specialisation- Natural Language Processing
1
Bagging & Random Forest
2
Boosting
3
Model Selection & General ML Techniques
4
Principal Component Analysis
5
Advanced Regression
6
Advanced ML case Study
7
Time Series Forecasting
8
Neural Nets for NLP
9
Syntactic Processing
10
Syntactic Processing Assignment
11
Semantic Processing
12
Applied DL in NLP
13
Case Study: Automatic Ticket Classification
14
Capstone Project
Specialisation- Business Analytics
1
Bagging & Random Forest
2
Model Selection & General ML Techniques
3
Time Series Forecasting
4
Model Selection Case Study
5
Visualisation using Tableau
6
Advanced Excel
7
Visualisation using PowerBI
8
Structured Problem Solving using Frameworks
9
Data Storytelling
10
AirBnB Case Study
11
Operations Research in Excel
12
Data Architecture
13
Data Strategy
14
Business Case Study
15
Capstone Project
Specialisation - Business Intelligence/Data Analytics
1
Data Modelling
2
Advanced SQL and Best Practices
3
Introduction to Big Data and Cloud
4
Analytics using Spark
5
Big Data Case Study
6
Visualisation using Tableau
7
Advanced Excel
8
Visualisation using PowerBI
9
Structured Problem Solving using Frameworks
10
Data Storytelling
11
AirBnB Case Study
12
Data Structures - Sets, Dictionaries, Stacks, Queues
13
Searching and Sorting
14
Algorithm Analysis Recursion
15
Advanced Database Programming using Pandas
16
Python & SQL Lab
17
Capstone Project
Specialisation - Data Engineering
1
Data Management and Relational Database Modelling
2
Introduction to Big Data(Optional)
3
Introduction to Cloud and AWS Setup
4
Introduction to Hadoop and MapReduce Programming
5
Assignment (Optional)
6
NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB(Optional)
7
Data Warehousing (Optional)
8
Data Ingestion with Apache Sqoop and Apache Flume
9
Map reduce Programming Assignment
10
Hive & Querying
11
Assignment (Optional)
12
Amazon Redshift
13
Introduction to Apache Spark
14
Project: ETL Data Pipline
15
AWS Cloud Infrastructure (Optional)
16
Optimising Spark for Large Scale Data Processing
17
Apache Flink(Optional)
18
Real-Time Data Streaming with Apache Kafka
19
Real-Time Data Processing using Spark Streaming
20
Assignment (Optional)
21
Building Automated Data Pipelines with Airflow
22
Analytics using PySpark
23
Project: Real Time data processing
24
Capstone Project
Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data, Natural Language Processing
Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist
Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals
Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required.
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