PG Program in Data Science and Engineering

Offered byGreat Learning

PG Program in Data Science and Engineering
at
Great Learning
Overview

A comprehensive program designed for individuals seeking to advance their knowledge and expertise in the field of data science and engineering.

Duration	9 months
Total fee	₹2.75 Lakh
Mode of learning	Online
Difficulty level	Beginner
Official Website	Go to Website
Credential	Certificate

PG Program in Data Science and Engineering
at
Great Learning
Highlights

Earn a certificate after completion of course
Fee can be paid in installments

PG Program in Data Science and Engineering
at
Great Learning
Course details

Skills you will learn

Python

Who should do this course?

Recent Graduates:Individuals who have recently completed undergraduate degrees in computer science, engineering, mathematics, statistics, or other quantitative disciplines and wish to deepen their knowledge in data science and engineering..
Career Changers:
- Non-Technical Backgrounds: Professionals from non-technical fields (such as business, finance, or marketing) who are looking to switch careers and enter the data science field.
- Professionals Seeking Upgrading: Individuals looking to upgrade their technical skills to meet the growing demands of the data science industry.
Industry Professionals:
- Business Analysts: Those working in business analysis roles who want to leverage data science techniques to enhance decision-making and analytics capabilities.
- Project Managers: Professionals involved in managing data-driven projects who wish to gain a deeper understanding of data science methodologies.
Technical Enthusiasts:
- Tech Enthusiasts: Individuals with a strong interest in data science and technology who want to gain formal training and knowledge in the field.
Current Students:
- Graduate Students: Individuals currently pursuing a degree in a related field who wish to supplement their academic knowledge with practical, advanced skills in data science and engineering.

What are the course deliverables?

Python
Tableau
SQL
Pandas
NumPy
Chat GPT
LangChain

More about this course

The PG Program in Data Science and Engineering is offered by Great Lakes Executive Learning in collaboration with Great Learning.

This program provides a deep dive into the principles, methodologies, and technologies that drive the field, preparing you for a successful career in data science, analytics, and engineering.

PG Program in Data Science and Engineering
at
Great Learning
Curriculum

UNIT 1

Module 1: Introduction To Analytics

Journey of a Data Science Project
Introduction to Excel Sheets
Data Analysis
Data Visualisation
Dashboard Creation and Storytelling

UNIT 2

Module 2: Database Management System

Introduction to SQL
Data Integrity
Aggregate Functions in SQL
Joins
Subqueries
Windows Functions
Views

UNIT 3

Module 3: Data Visualisation Using Tableau

Visual Analytics
Interactive Dashboards
Data Transformation
Storytelling with Data

UNIT 4

Module 4: Python For Data Science

Introduction to Python
Numpy and Pandas
Visualisation (Matplotlib, Seaborn, Plotly)
Extrapolatory Data Analysis

UNIT 5

Module 5: Statistical Techniques For Data Professionals

Introduction to Probability
Central Limit Theorem
Normal and Binomial Distributions
Hypothesis Testing

UNIT 6

Module 6: Machine Learning Essentials

Regression and Classification
Tree-Based Modelling
Model Building and Hyperparameter Tuning
Bagging and Boosting
XGBoost
Clustering

UNIT 7

Module 7: Data Engineering Essentials

Overview of Data Modelling
Overview of Data Warehouse
ETL Process

UNIT 8

Module 8: Building A Capstone Project

Research
Data Collection
Model Building
Presentation (Business Insights)

UNIT 9

Module 9: Overview Of Generative Ai And Using It To Solve Deep Learning, Nlp, Time Series Problems

Overview of Generative AI
Deep learning workshop with AI as an Assistant
Time Series workshop with AI as an Assistant
NLP workshop with AI as an Assistant

UNIT 10

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

Exam Preparation Guide + Mock Exams

UNIT 11

Capstone Project

PG Program in Data Science and Engineering
at
Great Learning
Faculty details

Dr. Abhinanda Sarkar

Dr. Abhinanda Sarkar is the Academic Director at Great Learning for Data Science and Machine Learning Programs. Dr. Sarkar received his B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He has taught applied mathematics at the Massachusetts Institute of Technology (MIT); been on the research staff at IBM; led Quality, Engineering Development, and Analytics functions at General Electric.

Prof. Mukesh Rao

Prof. Mukesh Rao is an Adjunct Faculty at Great Lakes for Big Data and Machine Learning. Mukesh has over 20 years of industry experience in Market Research, Project Management, and Data Science. Mukesh has conducted over 100 corporate trainings. Data Science training covers all the stages of CRISP DM, tools and techniques used in each stage, machine learning algorithms and their application. Big Data training covers core Apache Hadoop technologies including HDFS, YARN.