PG Certificate in Business Analytics
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Transcript of PG Certificate in Business Analytics
Analytics 2 ©NIIT
Contents
• Broad Contours
• Who Should Attend
• Unique Features of Program
• Program Modules
• Detailed Program Contents
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Broad Contours
Program Faculty
• Several highly qualified and experienced industry professionals teach different topics based on their areas of expertise. Details of some of the key faculty members is provided later.
Duration
• 26 Weeks
Program Fees
• Regular fee: INR1,30,000
• Installment plan: Down payment: 42,100; 1st installment: 24,800; 2nd Installment: 24,800; 3rd Installment: 24,800; 4th Installment: 24,800 (Total: Rs.1,41,300)
Class Dates
• Tentative Date - 20th May, 2014
Schedule
• Saturdays (2.30pm to 8.30pm) and Sundays (2.30pm to 8.30pm)
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Who should attend? This program is designed for working professionals who want to become analytics professionals. The work experience can be in a business function such as marketing or finance across verticals or it could be deep experience in a vertical such as financial services of retail or IT services.
• Some background in Mathematic/Statistics or Economics even if you have not used it
for a while. • You must have a reasonably good mathematical aptitude
• You should be familiar with Microsoft Excel
By the end of the course, you will: Have a good understanding of the field of analytics and a framework for
evaluating projects
An understanding and practical knowledge of the most common techniques of
analytics
Good ideas to take back to your business
A good reading list and reference points for further exploration.
Program Structure
1 Foundation of Analytics
2
Statistical Inference
3
Analytics Across Business Functions
4
Special Analytical Methods
5
Information Management in Analytics
6
Advanced Business Forecasting
7
Advanced Analytics
8
Analytics Across Business Verticals
9
Integrated Cases
10
Business Analytics Project
6 ©
Information
Management in
Analytics
Analytics Software and Programming
Data Preparation (ETL) and Visualization
Analytic Software - R, Excel, Solver
Basics of Big Data– Hadoop, HDFS, Hive, Pig,
Python
Advanced Business
Forecasting
Advanced Analytics
Application of
Analytics in Business
Verticals
Adv Forecasting – Exponential Smoothing,
Parameters
AR, MA, ARMA& ARIMA
Heteroscedastic Time Series - ARCH, GARCH
Forecasting/ Time Series using R
Advanced Linear Algebra
Advanced Machine Learning
Advanced Data Mining & Text Mining
Advanced Operations Research
Advanced Market Research
Big Data Analytics
Banking Analytics
Healthcare Analytics
Telecom Analytics
Entertainment Analytics
Media Analytics
Integrated Cases
Business Analytics Project
MODULES
Foundation of
Analytics
Business Analytics – Applications and Scope
Essential Mathematics for Analytics
Essential Economics for Analytics
Fundamental Statistics for Analytics
Statistical
Inference
Applications of
Analytics in
Business Function
Special Analytical
Methods
Sampling Techniques
Estimation – Point and Interval
Hypothesis Testing
Correlation
Regression – Linear, Non-linear, Logistic
Basics of Time Series
ANOVA
Financial Management
Operations Management (including OR)
Marketing Management
Qualitative and Quantitative Applications in
MR
Supply Chain Management and application of
OR
Human Resources Management
Advanced Predictive Methods
Machine Learning
Data Mining
Text Mining
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Delivery Plan
• Completely on SLT: CR-CR-MR
• All hands-on sessions are also on the SLT Desktop with Faculty available in the
studio
• 12 hours of contact + 6 hours of learning each week = Average 18 hours
per week of effort
• Trainer from insAnalytics (Expert/Practitioner)
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Faculty
Sudhir Kumar Mallick
M Stat (Indian Statistical Institute), PG Diploma in Comp Sc (Indian Statistical Institute)
Retired as Principal Consultant, TCS, 33 years of experience in IT Services and Analytics
Dr. Debasish Roy
M Stat (Indian Statistical Institute), Ph.D (University of Auckland, New Zealand)
Has held visiting faculty positions at Cambridge University (UK), Pavia University (Italy) and ISI.
Shyam Karmakar
M Stat (Indian Statistical Institute), PGDM,
Chartered Statistician of The Royal Statistical Society, London.
Dr. Nidhan Choudhuri
M Stat(ISI), Ph.D in Statistics from Michigan State University
16 years of experience out of which 8 years in corporate world and 8 years in academia.
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Conference Call /Information Session
• Why should I attend the conference call? – To evaluate the program rigorously and in
depth before taking a final decision
• Who will host the call? – NIIT Imperia Product Management Team, and
Faculty would address the queries regarding the program
• How can I register for the conference call?
Register on: https://bit.ly/PGCBAconcall
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How to register?
• Registration forms & Fee • To register in the program Speak to our Toll Free
1800 266 0304 Or Visit nearest Imperia center
• Important Dates – Classes Commences on: May 20, 2014 (Tentative)
IIT
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NIIT IMPERIA - TECHNOLOGY EDGE
STUDIO VIEW
35 Classrooms across 23 Cities in India Direct one-to-one interaction is ensured through individual ICT
systems for each student: High-performance PCs Webcam Audio system and microphone at each workstation,
connected directly to faculty at institutes Classroom interactions & ambience are facilitated by clusters of
student-stations and camera & projection systems that span the full classroom.
Learning Management System (LMS): • program-specific notices • online submission of assignments • reminder services • online testing • student records
CLASSROOM VIEW
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SNAPSHOT OF STUDENT PC - TYPICAL STUDENT VIEW
FACULTY
SLIDE SHOW / WHITE BOARD
STUDENT VIDEO
IIT
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SYNCHRONOUS LEARNING
REPLICATION OF LIVE CLASSROOM
Full features of face-to-face teaching
Raised-hand-seeking-teacher's- attention
Tabulation of responses
Quizzes randomly created by the teacher