PG Certification Programs in Data Science

A PGP in Data Science helps you upskill by learning the revolutionary technology and creating valuable data insights.

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Accreditations / Approval

UPES Online

Duration

10 Months

Fee

LIVE - 1,15,000/- | Self Paced - 69,000/-

EMI

Avail easy EMI options

Start Date

July

Post Graduate Program in Data Science

Data is being generated at a rampant pace every single day. There is a need for more effective algorithms to process massive amounts of data. It is possible to do this with data science. Many industries have embraced data science due to the outstanding benefits it offers.

A PGP in Data Science teaches you how to analyze data for actionable insights and help companies make decisions backed by this data. The multidisciplinary field has roots in maths, statistics, and computer science.

Key highlights

Master classes by industry experts

100+ hours of hands-on classes

One-on-one career mentorship from industry leaders

Capstone projects

Networking sessions

Over 300 corporate partners

Career prospects

Data Analyst
Financial Analyst
Business Analyst
Business Intelligence Analyst
Marketing Analyst
Business Intelligence Developer

Infrastructure Architect
Data Visualization Specialist
Quantitative Analyst

Skills covered

Big Data & Mining
Statistics & Probability
Spark
Rstudio
Data Analysis
Jupyter Notebooks

Forecasting and Sampling
Data Visualization

Eligibility

Bachelor's degree or equivalent in any discipline from a recognized university/institution with minimum 50 percent aggregate marks.
3 Year UG Diploma or equivalent in any discipline from a recognized university/institution with minimum 50 percent aggregate marks.

Candidates who have completed their graduation through Online Learning or Open and Distance Learning Mode from any University/institution recognized by the UGC DEB (Distance Education Bureau) are also eligible to apply.

OR
Candidates who have completed professional qualifications viz. CA, CS or ICWA are eligible to apply.

OR
Relaxation in Eligibility Criteria for Candidates with Work Experience

Candidates with minimum 2 years of work experience must have Bachelor's degree, 3 year UG Diploma or equivalent in any discipline from a recognized university/institution with minimum 45 percent aggregate marks.

Candidates with minimum 4 years of work experience must have Bachelor's degree, , 3 year UG Diploma or equivalent in any discipline from a recognized university/institution with minimum 40 percent aggregate marks.

Selection process

Knowledge of high school level mathematics, especially statistics is a must
Candidates are shortlisted based on professional experience and academic scores

Syllabus

Semester 1

10 Weeks
10 Hours

Introduction to Business Analytics with Excel

Business Analytics - An Overview
Data Analysis with Excel - Introduction
Advanced Analysis with Excel

Semester 2

10 Weeks
10 Hours

Descriptive Analytics and Data Visualization

Business intelligence (Descriptive Analytics) – Introduction
Data Support Science
Building a BI Projectl
Building Reports
Descriptive Analytics – Case Studies on Functional Areas & Industrial Verticals
Data Visualization – Introduction
Principles of Data Visualization
Exploratory Data Analytics
Distribution and Statistical Interference
Visualizing Business Intelligence
Data Visualization using Python
Web Based Visualization
Latest and Advanced Visualization

Semester 3

10 Weeks
10 Hours

Predictive Analytics

Predictive analytics – Introduction - Data Mining
Data Mining
Data Understanding and Preparation
Model Development and Techniques
Model Evaluation and Deployment
Web Mining and Usage
Predictive Analytics - Case Studies on Functional Areas & Industrial Verticals

Semester 4

10 Weeks
10 Hours

Bigdata Analytics

Introduction to Big Data Analytics
Hadoop
Query Languages for Hadoop
Hive & Pig: Hadoop Reporting and Analysis
NoSQL
Analytics for Big Data at Rest & in Motion
Bigdata Analytics - Case Studies on Functional Areas & Industrial Verticals

Semester 5

10 Weeks
10 Hours

Social & Web Analytics

Introduction to Web and Social Analytics
Relevant Data and its Collection & KPIs/ metrics
Manage Web and Social Media with Analytics
Future of Social Media Analytics and Monitoring

Semester 6

10 Weeks
10 Hours

Capstone Project

Projects based on challenges in the industries of

Retail
Banking
Supply Chain
Healthcare
Social Media, etc.

Our Facilitators

Ms. Binu Midhun

Ms. Vaijayanthi

Mr. Lalit Sachan

IIT-K Alumni, Co-Founder read more...

Dr. Kingshuk Srivastava

Associate Professor read more...