PG Certification Programs in Data Analytics

A PGP in Data Analytics enables you to collect, clean, and analyze data that can be used to improve business decisions.

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Accreditation / Approval

UPES Online

Duration

6 Months

Fee

INR 1,25,000/-

EMI

Avail easy EMI options

Start Date

January, April, July, October

Post Graduate Program in Data Analytics

Every business, small, medium, or large, generates and collects data. This data can be marketing research, logistics, accounts, customer feedback, user behaviour, and so on. Such a rise in data generation has made the need for a data analyst more prominent.

Completing a Post Graduate Program in Data Analytics helps you scrutinize raw data to draw meaningful insights. You can use the data and the derived insights to plan numerous activities like how to lower transportation costs, improve customer experience, and price new materials, to name a few.

Key highlights

Top-class faculty

60+ hours of live classes

Hands-on training with 70% practical content

Career essential soft skill program

100% career assistance with 300+ corporate partners globally

7 industry projects from different domains

Career prospects

Data Analyst
Business Analyst
Financial Analyst
Business Intelligence Analyst
Infrastructure Architect

Business Intelligence Developer
Marketing Analyst
Quantitative Analyst
Data Visualization Specialist

Skills covered

Basic Statistics
Advanced Statistics
Descriptive Analytics
Predictive Analytics
Using R and R studio for analysing data
Data Analysis in SQL
Data Visualization in Tableau

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

Submit an application with information about yourself and why you want to pursue a PG Program in Data Analytics.

An Admission Panel will review the application and shortlist candidates.
Receive admission confirmation to start the Data Analytics Program within 1 - 2 weeks

Syllabus

Semester 1

10 Weeks
10 Hours

Introduction to Data Analytics

Data Analytics - An Overview

Semester 2

10 Weeks
10 Hours

Basics of R, Data Handling and Statistics

Fundamentals of R
Data Visualization in R
Data Preparation and Cleaning using R
Understanding the data using univariate statistics in R
Hypothesis testing and ANOVA in R to guide decision making

Semester 3

5 Weeks
5 Hours

Predictive Analytics in R

Correlation and Linear regression
Logistic regression
Techniques of customer segmentation
Time series forecasting techniques
Decision trees & Random Forests
Boosting Machines
Cross Validation & Parameter Tuning
Final Case Study

Semester 4

6 Weeks
6 Hours

Basics of Python (Videos Only)

Semester 5

5 Weeks
5 Hours

Data Analysis in SQL (Videos Only)

Introduction to SQL
SQL Data Types & Operators
Useful Operations in SQL
Aggregating Data in SQL
Writing Sub-Queries in SQL
Common function in SQL
Analytic Functions in SQL
Writing DML Statements
Writing DDL Statements
Using Constraints in SQL
SQL Joins
Views in SQL

Semester 6

6 Weeks
6 Hours

Data Visualization in Tableau (Videos Only)

Introduction to Business Intelligence & Visualization
Introduction to Tableau
Dive into Tableau
Connecting Data Sources
Tableau Generated Fields
Data Manipulation in Tableau
Working with Dates in Tableau
Data Customization with Calculations
Adding Dynamism to a View with Parameters
Geographical Analysis & Maps
Creating Visualizations
Adding Statistics to Data
Formatting & Annotation
Dashboards & Stories

Our Facilitators

Mr. Utsab Chakraborty

Manager Customer & Marketing Analytics, Flipkart read more...

Mr. Renold Devaraj

Data Scientist Dell read more...

Mr. Abhishek Nagarjuna

Sr. Ai Scientist Course5i read more...

Dr. Lalit Sachan

Co-founder & Head – Data Science, Edvancer IIM, Lucknow read more...

Mr. Stephen Coe

Financial Consultant MA, LSBF read more...

Mr. Ben Botes

Digital Marketing consultant MBA, MSc, BA, LSBF read more...

Mr. Graham Mills De Pledge

Management Consultant LSBF read more...

Organisations where our Alumni work

*All programs listed here are subject to approval of the UPES Academic Council. UPES reserves the right to introduce/discontinue/modify new/existing programs at its sole discretion, without any prior intimation to any party.