Executive Education Program in

Business and Data Analytics

WileyNXT

Business Leaders for a Digital Economyto leverage Data, Technology and Domain Knowledgefor Business Growth and Effectiveness

The only Executive Education P rogram which builds

“

“

- Forbes

that embrace this fact are the

company, no matter what

product or service it

Every company is a technology

provides…Today, every company

is a data company, whether they

know it or not. The companies

company can make, deliver or

market its product efficiently

ones that shape our world…No

without technology and data.

To remain relevant, leaders and professionals must

understand how technology and data affects their

businesses. This does not mean just one for a new

technology product idea or an app or a new

website. It means really understanding how

technologies such as AI organically flows through

the business and shapes the market and customer

demands and supply synergies. Companies that

adapt quickly to new technologies gain a foothold

on the market.

Professionals who can leverage data, technology

and business expertise to reimagine customer

experience, new product innovation or bring in

business efficiency will be the leaders of tomorrow.

Who is it For?

The IIML-Wiley Program is

designed specifically for

professionals with minimum

1 year of work experience,

aspiring to build their

expertise in leveraging the power

of data and data analytics for

business growth and

transformation.

What is the IIM L-Wiley Program?

Ÿ Expert Wiley faculty

Ÿ Masterclasses by top industry experts of India

The program integrates classes by:

Developed by top faculty at IIML and Wiley along with the Wiley

Innovation Advisory Council (WIAC) members and leading industry

experts in emerging technologies, the 6-month intensive program

provides:

Ÿ Esteemed IIML faculty

Ÿ Deep exposure to hands-on use of data and analytics to

solve real life problems across multiple industries and

enterprise functions

Ÿ A complete experiential learning integrating concepts and

its application to context

All of these seek to deliver:

Ÿ Practice in communicating insights from data

Ÿ Exposure to applying machine learning algorithms in

various business scenarios

Ÿ Working with labs, various business cases and real-life

projects

Ÿ Foundation in technologies for exploring and analyzing data

Ÿ Ultimately converting a business problem to analytics

problem thereby helping build business processes and

strategies underpinned by technology.

Ÿ Strong expertise in the power of data

Program Outcome

Data Analytics ExpertiseMathematical and Statistical techniques, Supervised and

Unsupervised Machine Learning techniques, foundational

exposure to Deep Learning and Neural Networks

Technology

Python Ecosystem,

Tableau, AI

Analytics Mindset

Transforming business

problems to analytics problems,

problem-solving and

critical thinking approach,

use analytics as growth drivers

Participant OutcomeBe a Leader and an Asset to your Organization with:

Business Expertise

About the Program

Completely Hands-On Learning

with Labs, Case Studies and

Project Work

10 Masterclasses by Top

Industry Experts and Thought

Leaders Providing Exposure

to Actionable Analytics

Online Courseware and

eBooks Library from Wiley by

Top Global Authors

6-days immersion learning

at IIML Noida Campus

Live Online Class Sessions by

Top IIML and Wiley Faculty

AI

ML

Facility for Local Classrooms

for In-Class Learning Experience

and Peer Interactions

The Learning Experience

Immersion Learning at

IIML Campus

Program orientation and classes at IIML

Noida Campus for 3 days in Month 1 and

Month 6 each (total 6 days). Participants

will participate in sessions conducted by

top faculty and thought leaders at the IIML

campus and along with an experience of

the campus. Accommodation will be

provided during the immersion.

Live Online Classes

Post immersion sessions, live

online classes will be conducted

by IIML and Wiley faculty for 4

Hours Per Week. These will also

include masterclasses by industry

experts. Classes will be conducted

through technology aided

platform which allow interaction

with the faculty.

Access to Wiley

Learning Resources

For reference, participants

will have access to

courseware including videos,

assessments and study

material on Wiley LMS.

Printed study guides and

access to eBooks library by

Wiley will also be included.

Labwork and Case Studies

Following the pedagogy of hands-

on learning, almost every session

will include labwork. Access to

Labs for hands on practice in

using Python, Tableau Public will

be provided along with business

cases and datasets. Masterclasses

will include business cases.

Masterclasses Project Work, Action

Learning, Peer Learning

The experiential learning

methodology will include working on

end to end business project across

industry verticals, with mentorship

from faculty and industry experts.

The program will provide

opportunity to work with peers from

varied backgrounds in teams.

Valediction Ceremony at IIML Noida Campus

Value Add of the Program

8.5/10 Program

Recommendation Score

HHHHHHHHHH

Program Curriculum

Module 6

Machine Learning Techniques

Module 7

Predictive Modeling Techniques

and Exposure to Deep Learning

Module 1

Orientation and Introduction

to Data Analytics

Big Data Analytics

and Data Visualization

Module 5

Module 4

Exploratory Analysis

Data Handling

Module 3

Module 2

Statistics for Data Analytics Capstone Project

and Presentation

Module 8

Analytics across Enterprise

Operations and Industries

List of Masterclasses

¬ AI and Emerging Technologies: Blockchain, RPA, IoT

¬ Analytics and AI-Led Strategies for CXOs

¬ Marketing Analytics

¬ Digital Analytics: Image, Text, Video and

Voice Analytics

¬ Analytics for Retail and Ecommerce

¬ Analytics in Healthcare Business

¬ Customer Analytics

¬ Analytics for Finance and Accounting

¬ Risk Analytics

¬ IT operation analytics, spend analytics,

predictive asset maintenance

¬ Analytics for Insurance and Fintech

Tenure of the program 6 months1.

Total course time 156 hours2.

Total teaching hours 132 hours

(84 hours online + 48 hours in campus)

3.

Per week duration of online classes 4 hours4.

Number of in-campus immersion

sessions

6 days (months 1 and 6)5.

Venue for the immersion sessions IIML campus Noida6.

Project work duration 24+ hours (month 6)7.

Masterclasses (by industry experts) 10+ sessions8.

Program fees INR 1,99,000 plus GST9.

“- Participant, Wiley-IIM(Lucknow) Executive Education

Program in Data and Business Analytics Student

“Session flow was fantastic. Great session with well managed time

and interactions, with great content and communication.”

Key Information

About IIM L

Dr. Garima Mittal is a faculty member

in the Decision Sciences Area of IIM,

Lucknow. She has a Ph. D. in

Operational Research from

University of Delhi. Her area of

specialization is Operations

Research with research interests

in prescriptive analytics, multi-

criteria decision making, mathematical

modelling, fuzzy optimization and soft

computing techniques. Her research articles

have been published in international

journals of repute.

Program Directors

Wiley – The Global Leader in Learning Solution

200 years of excellence

470+ Nobel

Laureates have

published in

Wiley journals

Global Presence Serving Learners

Leveraging technology and content-enabled solutions to drive the knowledge economy

Improve Access and Outcomes

EDUCATION 2800+ courses

527,000 students

179+ university partners

222+ online programs

Enabling Reskilling and Upskilling

EMPLOYMENT20,000 learning objects

4000 global experts

40 million personality assessment end users

6 million platform end-users

INNOVATION226 million full text downloads per year

1600 journals 1200 society partners

15 million member researchers

Accelerate Discover, Validation

For more information-

call at: 7290003164

visit at: www.wileynxt.com

mail at: professionallearning@wiley.com

or visit at: IIM Lucknow, MDP office, Noida

Follow us on: @wileynxtonline