Web & Social Media Analytics Previous Year Question Paper.pdf
Praxis Business School - Deck.pdf
1. P O S T G R A D U A T E P R O G R A M S I N
M A N A G E M E N T
D A T A S C I E N C E
D A T A E N G I N E E R I N G
K O L K A T A | B E N G A L U R U
2. 2007
Started with an initial academic
collaboration with XLRI
2019
Started full-time program in Cyber
Security
2016
Started Bangalore center
The Praxis Journey
2011
Started India's first Full-time program
in Business Analytics (Currently known
as PGP Data Science)
2021
Launched a program in Data Engineering -
batch started July 2021
3. Accolades
Listed as one of the best schools to study Data Analytics , August 2016
Ranked 3rd among the top Data Science programs in
India, 2020
4th Best B-School in East: 2021,2022
Among the Top 2 B-Schools in Kolkata: 2021, 2022
Ranked 1 among all Full time data science programs in India, 2021
Ranked among the Top 3 Full time Analytics courses in India, 2016-20
Cyber Security Course ranked among the Top 10 Courses in India, 2019
Voted Best Private B-School in East, 2022
4. AICTE Approved
2-year full-time
Kolkata Campus
Post Graduate Diploma in
Management
9-month full-time
Kolkata & Bengaluru Campus
Designed with industry support from
Post Graduate Program in
Data Science
9-month part-time online learning
Bengaluru Campus
Designed with support from
Post Graduate Program in
Data Engineering
6. DURATION
2 years; 6 trimesters
PEDAGOGY :
Instructor-led classroom training
Combination of lectures, case-study discussions, projects and presentations
PGDM
BATCH SCHEDULE
July
INTAKE
120
PLACEMENT SCHEDULE
November - February for Finals & Internship selections
Program Highlights
7. The Praxis PGDM Advantage
Introduced courses in fundamentals of digital business, data science and
fintech in the first year
Offers specialization in data science and management of digital business
Emphasizes the ‘digital’ in all functions like marketing, HR, finance, supply chain
8. PGDM Year 1
Business Law
Business Ethics
Cost and Management Accounting
Data Visualization and Storytelling
Financial Management 1
Financial Management 2
Financial Reporting and Analysis
Foundation of Digital Business
Foundations of Data Science
Foundations of Fintech
Human Resource Management
Macroeconomic Theory and Policy
Managerial Communication
Managerial Economics
Marketing Management 1
Marketing Management 2
Marketing Research
Organizational Behavior
Production and Operations Management 1
Production and Operations Management 2
Quantitative Techniques 1
Quantitative Techniques 2
Sales and Salesforce Management
Strategic Management / Sustainability
9. BUSINESS ANALYTICS
COMMERCIAL BANKING &
PROJECT FINANCE
CONSUMER INSIGHTS &
MARKET INTELLIGENCE
PGDM Super Specializations
DIGITAL BUSINESS
MANAGEMENT
FINANCIAL RISK
MANAGEMENT
HR MANAGEMENT
10. BUSINESS ANALYTICS
The Business Analytics concentration will dive
into specific business analytics and data skills,
including Statistics, Econometrics, Machine
Learning Deep Learning etc. and teach you to
see business issues in different industries
through a data-driven approach
PGDM
Foundations of M&L (with GUI Tools)
Foundations of OLAP with RDBMS / Spreadsheets
Foundations of D&L and AI
Econometrics & Time Series
Advanced Market Research & Analytics
Digital Media Analytics
Practical Cloud Computing (Azure / AWS)
Data Security & Privacy
Health / Telecom / Agri Analytics
COMMERCIAL BANKING &
PROJECT FINANCE
The course comprises inputs in the areas of finance,
Marketing of Financial services, security analysis, portfolio
management, project appraisal & financing, and retail
banking – enabling the students to understand the cross-
functional play in the finance industry and preparing them to
create successful careers for themselves in this area.
Commercial Banking
Marketing of Financial Services
Project Appraisal and Financing
Security Analysis & Portfolio Management
Retail Banking
Super Specializations
11. Praxis has created a unique course in this fast-
growing area of Consumer Insights and Marketing
Intelligence by integrating relevant subjects of
Marketing, Analytics, IT, and Operations. The
program will be relevant for careers in Consumer
Insights for several verticals like FMCG, Consumer
Durables, Media, Banking, Telecom, and Retail.
PGDM
Advanced Market Research & Analytics
Retail Management
Sales and Distribution Management
Product and Brand Management
Consumer Behavior
Retail Operations
Integrated Marketing Communication
This vertical specialization in Digital Business Management is
aimed at preparing professionals in a business environment
that is increasingly driven by digital technology. The
curriculum and pedagogy are designed to impart knowledge
about technologies that are required to manage a business in
the digital world.
Digital Transformation
Digital Marketing
E-Commerce and Digital Supply Chain
Digital Asset Design & Development
Industry 4.0 (ERP / Robotics / IOT / Smart Factory)
Digital Media Analytics
Practical Cloud Computing (Azure / AWS)
Data Security & Privacy
CONSUMER INSIGHTS &
MARKET INTELLIGENCE
DIGITAL BUSINESS
MANAGEMENT
Super Specializations
12. Corporate firms and Banks are implementing risk
management practices to combat risks arising
from the highly integrated and volatile financial
markets. There is also an increased focus on
Fixed Income Securities, International Finance
and Valuation. Praxis has decided to offer a
concentration in Financial Risk Management to
leverage the demand for well- trained
professionals in this field
PGDM
Derivatives
Fixed Income Securities
Financial Statement and Valuation
Risk Management
International Financial Management
Stock Price Prediction and Analysis
In this digital age Human Resources are at the centre of a
company’s digital transformation that instills the HR function
to facilitate responsiveness and adaptiveness of activities and
structures related to the digital age. Our HRM concentration
consists of courses like Competency Based Performance
Management, HR Analytics and Strategic Human Resource
Management for the Digital Age.
Talent Management and Competency Based Approaches
Human Resource Information System
HR Analytics for Managers
Strategic HR for Digital Age
Leading By Example
FINANCIAL RISK
MANAGEMENT
HR MANAGEMENT
Super Specializations
18. 9-month full-time in-class; 3 Trimesters
550+ contact hours of teaching
DURATION
PEDAGOGY :
Instructor-led classroom training
Combination of lectures, case-study discussions, projects and labs
Capstone project
PGPDS
January - October
July - April
BATCH SCHEDULE
INTAKE
75 per batch
January Batch: June onwards; Join organizations
in November
July Batch: November onwards; Joining
organizations in April next year
PLACEMENT SCHEDULE
Program Highlights
(Kolkata + Bangalore)
19. Mathematics for ML
Introduction to Machine Learning
Python
Statistics
Market Research
RDBMS and Datawarehousing
Data Visualization and Storytelling
Data Security & Privacy
Time Series Forecasting
Multivariate Statistics & Econometrics
Financial Modeling
Analytics in Finance
Marketing Analytics
Advance Machine Learning
Big Data & IoT with NoSQL & Spark
Introduction to R
Text Analytics
Capstone Project
Applied AI & Model Interpretation
Deep Learning
Data Engineering & Model Deployment
Applied Analytics in Business
SAS Workshop
COURSE COVERAGE
1 2
3
PGPDS
20. COURSE COVERAGE
PGPDS
Techniques - Critical thinking and problem solving, Data Visualization, Advanced Statistics, Econometrics,
Time Series & Forecasting, Advanced Machine Learning, Deep Learning, Model Deployment, Model
Interpretation and Applied AI
Tools and platforms -SQL, Python, R, Pytorch, TensorFlow, Keras
Tools for Visualization - Tableau, PowerBI, GGPLOT, Seaborn
Technology – Big Data Hadoop/ Spark ecosystem, Dockers, NoSQL
Business Applications - Market Research, Agriculture/Health/Marketing/Financial/Web/ HR Analytics
Capstone Project - Students are assigned projects in areas of ML, DL and AI. Assessment is done by a
team of academics and industry practitioners.
26. 3 Trimesters; 9 months
240+ hours of teaching + 60 hours of Capstone
DURATION
PEDAGOGY :
Instructor-led sessions
Combination of lectures, case-study discussions, projects and labs
Capstone project
PROGRAM HIGHLIGHTS
PGPDE
January - Oct
July - Mar
BATCH SCHEDULE
INTAKE
30 in a batch
LEARNING MODE
Live interactive sessions conducted
online on weekends
PLACEMENT SCHEDULE
December & May
27. WORKING WITH TRADITIONAL DATA
Concepts of Data Modeling & RDBMS
Algorithms & Data Structure
Python functional programming
SQL programming
ETL & Data Warehousing
ENGINEERING PLATFORMS FOR BIG DATA
Introduction to Hadoop Ecosystem
Working with NoSQL Databases
Streaming Data Analytics
Administer Data Pipelines
Machine Learning techniques
RUNNING ENTERPRISE BUSINESS ON CLOUD
Understanding Enterprise Business data generation
Application orchestration - Dockers & Kubernets
Cloud Database and Warehouses
Building and Running a Data Lake on the Cloud
Data Security & Privacy
Capstone Project
COURSE COVERAGE
1 2
3
PGPDE
29. FACULTY@PRAXIS
AMIT PARAKH
B.Com (Hons), ACA, CS, FRM, PGDM (IIM Ahmedabad)
Amit has worked extensively in the banking and equity research areas
before entering academics. He has been with Structured Products
Group, ICICI Bank, where he played a key role in carrying out valuation
assignments, building credit rating models and structuring transactions.
CHARANPREET SINGH
B.Tech (IIT Kanpur), MBA (University of Iowa)
Has been a part of the corporate world for 20 years and has a rich
experience in industries as varied as Cryogenics, Steel,
International Trade, Consulting and IT with organizations such as
British Oxygen, Tata Steel, PwC and Compaq-HP. At HP he was
Country Manager, Marketing for SMB)
GOURAB NATH
M.Sc ( WB State University)
Has worked as a Faculty of Data Mining, Data Visualization and
Advanced Analytics at iNurture Education Solutions Pvt. Ltd. Gourab
brings with him a high level of proficiency in analytics techniques and
tools. He has been a visiting lecturer on Analytics across colleges and
Universities and has delivered Management Development Programs for
Senior Leadership teams of large corporates.
JAYDIP SEN
BE Mechanical (Jadavpur), MStat (ISI Kolkata)
Jaydip has close to 2 decades of industry and 5 years of teaching experience.
Has worked as a Senior Scientist at TCS Innovation Labs after stunts with
Akamai Technologies, ONGC and Hindustan Motors. His Areas of interest
include Advanced Statistical Modeling, Data Mining, graph Theory,
Discrete Math and Internet Technologies.
DR. KANKANA MUKHOPADHYAY
B.Sc (Calcutta University), MCA (IGNOU), MBA & Ph.D (IIEST, Shibpur)
Kankana is an experienced professional with a demonstrated history of
working in the education management industry. She is skilled in Motivation,
Leadership, Strategic Human Resource Management, Competency Mapping,
HR Analytics, Stress Management, Change Management, Employee
Engagement and Management Information Systems
PRASENJIT DAS PURKAYASTHA
M.Sc (J.U), PGDM (Goa Institute of Management)
He has worked in the top three multinational MR agencies of
India – The Nielsen Company, TNS and IMRB International for 13
years in different functional and leadership roles. From 1999 to
2007, PD worked in different divisions of ACNielsen ORG-MARG,
in Mumbai and Kolkata, and eventually became the Associate
Director and Branch Head of Nielsen’s Customized Research
setup in Kolkata.
30. FACULTY@PRAXIS
DR. PRITHWIS MUKERJEE
B.Tech (IIT Kharagpur), M.S & PhD (University of Texas at Dallas)
He has spent nearly two decades in the Indian IT, software and
management consultancy business and has worked in Tata Steel,
Tata IBM, Pricewaterhouse Coopers, where he was a partner and in
IBM where he was the head of the Kolkata Delivery Centre. He was
also a full time, tenured professor at the Vinod Gupta School of
Management. Prithwis has pioneered RDBMS in Tata Steel, eBusiness
and web based technology at PwC, 3D Virtual worlds at IBM and
distance learning at VGSOM.
DR.SAYANTANI ROY CHOUDHURY:
MSc, MPhil, PhD (Calcutta University), UGC-NET
Sayantani has been in academics for more than 15 years. Her domain
spreads in the field of Economics, Statistics, Quantitative Techniques,
Research Methodology, Econometrics and Women Studies.
DR. SOURAV SAHA
B.Tech (CSE), PGDBA, Fellow (IIM Calcutta)
Sourav Saha is a Machine Learning professional turned Educator in the Advanced
Analytics domain having close to two decades of global experience around Data
Driven insights in Business Consulting and R&D. With focus on actionable insights for
Digital experience Personalization, he helped in setting up Advanced Data Science
practice in the Organizations before embarking on academics full-time.
DR. SUBHASIS DASGUPTA
B. Tech (NIT Surat), MBA (IBS), Research Scholar (IIM Ahmedabad), PhD (RK
University)
Subhasis has been in academics for close to 7 years, and he has handled courses
on Business Research Methods, Quantitative Analysis using MS-Excel and Data
Mining. He is actively involved in corporate training and has successfully
completed training sessions on Data Mining processes in organizations like
Abzooba, TCG, ICICI Bank)
DR.SAYANTAN KUNDU:
B.Tech (University of Kalyani), MBA (IIT Kharagpur), Fellow - IIM Calcutta
Sayantan's research and teaching interests lie in Capital Markets and Financial
Institutions, Asset Pricing, Derivatives and Risk Management, Corporate Finance,
Decision Sciences and Econometrics. Dr Kundu has published several papers in
reputed indexed journals and is a reviewer of a few reputed journals..
DR. RAVI SHANKAR
PhD (Indian Agricultural Research Institute)
Dr. Shankar has over 30 years of experience in analytics led consulting at firms
like Amex, Blackstone. Dell, GE and PwC. At INSOFE Bangalore he designed and
delivered courses to Doctoral students in Data Science and spearheaded the
corporate consulting and training services. Dr. Shankar’s areas of interest
include application of Design Thinking in Data Science, AI-ML driven Digital
Transformation, application of ML in OB & Strategy and explainable AI across
Manufacturing, BFSI, Agriculture, Pharma / Healthcare and Retail sectors
