PGP in Data Science (with Specialization in Gen AI)
- Offered byGreat Learning
PGP in Data Science (with Specialization in Gen AI) at Great Learning Overview
Duration | 5 months |
Total fee | ₹3.15 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
PGP in Data Science (with Specialization in Gen AI) at Great Learning Highlights
- Earn a certificate after completion of the course
- Access exclusive placement drives to grab job opportunities
- 1 on 1 mentoring from industry experts
- Mock interviews & mentor connect
- Fee can be paid in instalments
PGP in Data Science (with Specialization in Gen AI) at Great Learning Course details
This course (with Specialization in Gen AI) is offered by Great Lakes Executive Learning in collaboration with Great Learning
You will be part of a diversified batch for an immersive and personalized experience
Its comprehensive curriculum and industry-aligned approach prepare you to face business challenges head-on
This program can help you position yourself at the forefront of innovation and build the expertise needed to shape its future. With the additional PL-300: Microsoft Power BI Data Analyst Certification Program, you can gain in-demand Power BI skills and get an edge over your peers in the job market
PGP in Data Science (with Specialization in Gen AI) at Great Learning Curriculum
PRE-WORK: INTRODUCTION TO ANALYTICS
Journey of a Data Science Project
Introduction to Excel Sheets
Data Analysis
Data Visualisation
Dashboard Creation and Storytelling
MODULE 1: DATABASE MANAGEMENT SYSTEM
Introduction to SQL
Data Integrity
Aggregate Functions in SQL
Joins
Subqueries
Windows Functions
Views
MODULE 2: DATA VISUALISATION USING TABLEAU
Visual Analytics
Interactive Dashboards
Data Transformation
Storytelling with Data
MODULE 3: PYTHON FOR DATA SCIENCE
Introduction to Python
Numpy and Pandas
Visualisation (Matplotlib, Seaborn, Plotly)
Extrapolatory Data Analysis
MODULE 4: STATISTICAL TECHNIQUES FOR DATA PROFESSIONALS
Introduction to Probability
Central Limit Theorem
Normal and Binomial Distributions
Hypothesis Testing
MODULE 5: MACHINE LEARNING ESSENTIALS
Regression and Classification
Tree-Based Modelling
Model Building and Hyperparameter Tuning
Bagging and Boosting
XGBoost
Clustering
MODULE 6: BUILDING A CAPSTONE PROJECT
Research
Data Collection
Model Building
Presentation (Business Insights)
MODULE 7: CLOUD COMPUTING ON AWS
Learn the basic concepts of Cloud Computing
Understand service, delivery, and subscription models
Review the classical enterprise, cloud cost economics, and service offerings
Get introduced to virtualization and its correlation with Cloud Computing
Learn about cloud service taxonomy and next-generation virtualization methods
MODULE 8: NATURAL LANGUAGE PROCESSING
NLP Pipeline or Exploratory Data Analysis using Text
Overview of Neural Net
Word Embeddings
MODULE 9: OVERVIEW OF GENERATIVE AI AND ADVANCED PROMPT ENGINEERING
Overview of Generative AI and Large Language Models (LLMs)
Deep Dive into Prompt Engineering
Understanding Retrieval-Augmented Generation (RAG)
Case Study
Case Studies using Prompting such as Movie Recommender Systems, Image-to-text, etc
MICROSOFT POWER BI TRAINING PROGRAM (OPTIONAL-6 WEEKS)
Working with Data in Power BI
Creating Effective Visualizations
DAX Basics & Advanced DAX
Productionizing Power BI reports
Power BI Administration and Security
CAPSTONE PROJECT