Professional Certificate Programme in Advanced Data Science for Managers

OVERVIEW

In today's dynamic business landscape, market leadership and competitive advantage lie in the capability of generating data-driven insights to drive corporate strategy and business decisions. Increasingly, the integration of data science and analytics is proving to be a game-changer for businesses across industries, seeking to gain revenue-generating insights from data and predict future strategies for business growth.

IIM Kozhikode's Professional Certificate Programme in Advanced Data Science for Managers provides insights on data management, exploratory data analysis, and the use of machine learning algorithms. Along with a strategic and managerial understanding, the programme will help professionals enhance their proficiency in data science and gain in-depth skills and robust knowledge of machine learning algorithms and techniques supported by R and Python.

Since most of the data available today is in an unstructured format, joining this year-long programme will train professionals in techniques such as text mining and social media analytics that are vital for maximising business growth and transformation. Additionally, this programme's effective pedagogy and focus on real-world examples, case studies, and practical sessions will assist in identifying data insights and making high-output business decisions. On successful completion of the programme, participants will be eligible for the prestigious IIM Kozhikode Executive Alumni Status.

KEY BENEFITS

Gain an in-depth understanding of data structures and data analysis to explore and visualise data for meaningful insights and identify relationships between large data sets
Learn to use analytical tools such as R, Python and SQL to manipulate and analyse complex data sets and become proficient in building machine learning models using R and Python
Explore text mining analysis / techniques to understand the influence of social media applications
Understand the nuances and applications of descriptive, predictive, and prescriptive analytics to enhance analytical skills and make real-time, data-driven business decisions
Gain the skills and knowledge required to manage data science and analytics teams or projects at your organisation
Get the managerial expertise of the tools and techniques used in Data Science and Machine Learning for business applications

CERTIFICATE

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First Name

Last Name

Country

Mobile No

Qualification

Work Experience

City

STARTS ON

27 September 2020
DURATION

1 Year
(Live Online Sessions
3 hours / Saturday: 6:45 pm to 9:45 pm)
PROGRAMME FEE

INR 1,80,000 + GST

Special corporate enrolment pricing

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Who is this Programme For

There’s a growing demand for skilled data science professionals across industries, management levels and job functions. Joining this programme will be most beneficial for:

Managers and Team Leads managing analytics, data science and machine learning projects and teams
Business and data analysts looking to transition to data science roles or projects
Early-stage professionals interested in enhancing existing skills in data science and analytics
Directors, Business Heads and senior management professionals looking to implement or scale their analytics and data science competency and overall organisational capability
Consultants who want to develop a strategic mindset that revolves around business analytics and data science for client projects
Small business owners and entrepreneurs who want to utilise analytics and data science to scale their business
ELIGIBILITY - Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognised university in any discipline with a minimum of 1 year of work experience (after graduation) as on October 1, 2020

Programme Modules & Faculty

syllabus

MODULE 1: Data Management & Data Preparation

Introduction to Data Analytics using R & Python
Understanding Data Structure
Relational Databases & SQL
Pre-process the Data

MODULE 2: Statistics & Exploratory Data Analysis

Data Visualization
Exploratory Data Analysis
Statistical Inferences
Basics of Modelling

MODULE 3: Machine Learning Algorithms

Regression (Linear / Non-Linear / Logistic)
Time Series analysis
Classification
Clustering
Text Mining & Social Media Analysis
Simulation
Optimization

MODULE 4: Capstone Project / Final Project

With the capstone project, participants will gain hands-on learning experience in conducting data analysis scientifically and make insightful and powerful connections between quantitative data analysis and real-world business challenges. This project will provide participants with an opportunity to integrate their theoretical and practical understanding of data science and explore ways to apply their learnings in a real-world
competitive business scenario.

PROGRAMME DIRECTORS

Prof. Anandakuttan B Unnithan, PhD

Professor, Marketing

Dean (Academic Affairs & Development)

Prof. Anandakuttan B Unnithan obtained his PhD degree in Marketing from Cochin University of Science and Technology, Kochi, Kerala. He has extensive experience of two decades as a business educator, researcher and administrator. Currently, he is a Professor of Marketing Management and Dean (Academic Affairs and Development) at the Indian Institute of Management Kozhikode. His research interests include consumer behaviour, services marketing, and advertising. His publications have appeared in leading journals in marketing, advertising, and other business disciplines. He has consulted with major corporations and government agencies and is actively engaged in executive education and management development programmes.

Prof. Sreejesh S, PhD

Programme Director & Assistant Professor,

Marketing Management

Professor Sreejesh’s primary research interests include marketing analytics, brand management, services marketing, and online marketing & advertising. His publications have appeared in Journal of Brand Management, Industrial Marketing Management, European Journal of Marketing, Computers in Human Behaviour, Journal of Travel and Tourism Marketing, International Journal of Contemporary Hospitality Management, Internet Research, Journal of Product and Brand Management, Journal of Service Theory and Practice, International Journal of Bank Marketing, etc. He serves on the editorial board of International Journal of Consumer Studies. He has also authored books of international repute with Pearson India and Springer International. Prof. Sreejesh S is currently working as an Assistant Professor of Marketing Management at IIM Kozhikode.

Megan Silvey (Eruditus Global Faculty)

Founder & Data Science Consultant

Silvey Solutions

Megan Silvey has completed her B.S. in Mathematics at the University of Kansas, and she is currently pursuing an M.S. in Data Analytics with a focus in Data Science at Kansas State University. Megan has extensive experience in a variety of industries working as a data scientist, and she recently launched her data science consulting business. Her skills include analysing and solving problems utilising data by using techniques from applied mathematics and data science.

Programme Fee

Dates	Length	Location	Tuition Fees
September 27, 2020	1 Year	Live Online Sessions 3 hours / Saturday: 6:45 pm to 9:45 pm	INR 1,80,000 + GST

	Deadline	Application Fee
Round 1	Jul 31, 2020	INR 1,500 + GST
Round 2	Aug 31, 2020	INR 2,000 + GST
Round 3	Sep 15, 2020	INR 2,500 + GST
Application Deadline Extended	Oct 01, 2020	INR 2,500 + GST

	Remarks	Instalment Amount
Booking Amount	Within 7 days post selection	INR 20,000 + GST
Instalment 1	Sep 25, 2020	INR 50,000 + GST
Instalment 2	Dec 20, 2020	INR 60,000 + GST
Instalment 3	Feb 20, 2021	INR 50,000 + GST

Student Loan Details

Loan Amount Available	Tenure (months)	EMI
INR 2,01,780	48	INR 6,155

Note:

The above EMI’s are indicative. The EMI’s offered by each of the loan providers might vary from the above figures, depending upon tenure and loan amount to be disbursed.

Other EMI tenures available (Months):
Propelld: 6/12/18/24/30/36/42/48
Eduvanz: 12/24/36/48

Please visit Students Loans and Financing for details on how to avail a student loan.

SYSTEM REQUIREMENTS

SYSTEM REQUIREMENTS TO ATTEND A LIVE ONLINE CLASSES
This programme includes live online classes. To attend a live online class you will need to have a PC/Laptop/Mac with

Speakers and microphone: built-in or a USB plug-in or wireless Bluetooth
Webcam: built-in or USB plug-in
Processor: with Dual Core 2Ghz or higher (i3/i5/i7 or AMD equivalent)
RAM: 4 GB or higher
OS: Either MacOS 10.7 or higher OR Windows 8 or higher
An internet connection: Minimum bandwidth of 3.0 Mbps (up/down)
Browser: IE 11+, Edge 12+, Firefox 27+, Chrome 30+
Zoom software client installed on your PC/Laptop/Mac

We use the Zoom software application to conduct live online classes. Zoom works on a variety of PCs/Laptops/Mac systems and also on phones and tablets. You can join your live online class from a phone or tablet if it supports the Zoom client. We recommend that you attend classes from a PC/Laptop/Mac.