Advanced Data Science for Managers 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.

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Advanced Data Science for Managers

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STARTS ON December 30, 2022 Live Online Sessions Academic Orientation: Jan 14, 2023

DURATION 1 Year Live Online Sessions 3 hours/ week Saturday 6:45 PM to 09:45 PM

PROGRAMME FEE INR 1,95,000 + GST View Payment Plan Loan offered at EMI of INR 6,063 Special Corporate Enrolment Pricing Documents Required to Apply

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 December 30, 2022.

STARTS ON December 30, 2022 Live Online Sessions Academic Orientation: Jan 14, 2023

DURATION 1 Year Live Online Sessions 3 hours/ week Saturday 6:45 PM to 09:45 PM

PROGRAMME FEE INR 1,95,000 + GST View Payment Plan Loan offered at EMI of INR 6,063 Documents Required to Apply

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Programme Overview

In today’s dynamic business landscape, the ability to drive corporate strategy and business decisions through data-driven insights leads to market leadership and gives organisations a competitive edge. Increasingly, the integration of data science and analytics is proving to be a game-changer for businesses across industries. Organisations are seeking to gain revenue-generating insights from data and build future strategies for business growth.

Why enrol in Live Online Learning?

Why enrol in this Advanced Data Science for Managers	Advanced Data Science for Managers	Other Advanced Data Science for Managers (Online via recorded lectures)
All classes are delivered via LIVE ONLINE format by IIMK faculty & industry experts
Executive ALUMNI Status
PEER-TO-PEER learning through weekly interactions with other participants
Accredited institution	Dual accreditation	No accreditation
Best-in-class curriculum	Created by one of India’s premier B-School	Created by a non-accredited institution
FLEXIBLE PAYMENT options with multiple instalments

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

Programme Highlights

Develop a data-driven mindset to manage, visualise and analyse data effectively

Hands-on exercises using real-world data sets & R practical sessions

Immersive learning journey with real-world case studies, business decision-related projects & Capstone Project

Taught by eminent faculty & renowned industry experts

Certificate of Completion from IIM Kozhikode, one of India’s Leading B-Schools

Earn Lifelong Executive Alumni Status & networking opportunities

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Tools

Note:
- R will be the primary tool for Data Science
- Tableau will be the primary tool for Data Visualisation

Learning Outcomes

Gain an understanding of data analysis and structures, and the relationship between data sets
Learn to use analytical tools such as R and Python
Explore text mining analysis and techniques to understand the influence of social media
Learn to use descriptive, predictive, and prescriptive analytics to make real-time, data-driven decisions
Gain the skills and knowledge required to manage data science and analytics teams or projects at your organisation
Gain an understanding of the tools and techniques used in Data Science and ML for business applications

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Programme Modules

MODULE 1: INTRODUCTION TO DATA SCIENCE

Data Science - Scope, and Relevance
Data Science: Capabilities and Challenges

MODULE 2: UNDERSTANDING THE PYTHON ENVIRONMENT

Introduction to Python and data types
Operations, functions, execution, and data processing
Modules, packages, exceptions, and working with files

MODULE 3: UNDERSTANDING THE R ENVIRONMENT

Introduction R - packages, data frames, data types, and functions
Importing, Loading, & Storing data and Writing output from analysis
Data aggregation & Data Handeling, and Applications of dplyr package

MODULE 4: INTRODUCTORY STATISTICS & HYPOTHESIS TESTING

Statistical inference, hypothesis testing, one-sample and paired sample t-test
Test of proportions, two-sample t-test for difference in means
Chi-square test for goodness of fit of multinomial data, ANOVA

MODULE 5: FEATURE, TARGET ENGINEERING & PRE-PROCESSING

Data cleaning and Data transformation
Outliers, Binning and data balancing techniques

MODULE 6: EXPLORATORY DATA ANALYSIS AND VISUALISATION

Using EDA to generate useful insights, uncover anomalous fields & Application of PCA
Data visualisation and execution of various types of plots

MODULE 7: MACHINE LEARNING (ML): SUPERVISED LEARNING ALGORITHMS

Bivariate and multiple regressions, dummy variable regression, and regularized regressions (RIDGE & LASSO regressions)
Supervised vs. unsupervised learning, and understanding/evaluating the model
Logistic regression: Bivariate and multinomial logistic regression
KNN algorithm for classification and prediction
Naïve Bayes Algorithm
Support vector machines
Decision trees, and Random Forest
Bagging and gradient boosting

MODULE 8: MACHINE LEARNING (ML): UNSUPERVISED LEARNING ALGORITHMS

Clustering
Affinity analysis and market basket analysis
Principal component analysis (PCA)

MODULE 9: DEEP LEARNING ALGORITHM

Deep learning, and artificial neural networks (ANN)

MODULE 10: DIGITAL MEDIA ANALYTICS

Web Performance Analytics, and Google analytics
Optimal publisher strategy and complete copy improvement analysis in online platforms
Allocating resources between offline and online media
Introduction to social media analytics
Social network analysis (SNA) and generating social network metrics
Advanced SNA concepts using NodeXL and Gephi
Introduction to text analysis using WordArt, LIWC, and Weka
Deriving informative insights by combining social network and text analyses

Note:
Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the total programme hours.

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Programme Director

Prof. Sreejesh S, PhD

Programme Director & Assistant Professor,

Marketing Management

Note:
- Programme Directors might change due to unavoidable circumstances, and revised details will be provided closer to programme start date.

Programme Certificate

Participants who successfully complete all evaluation components with minimum pass marks and meet the requisite 75% minimum attendance criteria will be awarded a Certificate of Completion from IIM Kozhikode. Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a Participation Certificate.

Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of IIM Kozhikode.

Past Participant Profiles

Work Experience

Top Industries

IT & Communications
Banking & Finance
Manufacturing & Automobiles
FMCG & E-commerce
Others#

#Others include Aerospace, Healthcare, Media, Sales, etc.

Top Functions

IT & Engineering
Finance & Consulting
Operations
Management
Others*

*Others include Sales, Marketing, Teaching, etc.

Top Companies

American Express
Bosch Ltd
Cognizant
Dell Technologies
Goldman Sachs
ICICI Bank

Emeritus India Career Services

Career Management Modules on:
- Building an Impressive Resume & Cover Letter
- Building an Impressive LinkedIn Profile
- Navigating Job Search
- Interview Preparation
Past participants of Emeritus work at Microsoft, ICICI Bank, Infosys, HDFC, AirBnB, TCS, Ola, Flipkart, JSW, Wipro, Honeywell, JP Morgan, Reliance Jio, Mahindra, Gartner, Accenture, Cognizant, amongst others

Please note:

This service is available only for Indian residents enrolled into select Emeritus programmes.
IIM Kozhikode or Emeritus do NOT promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. IIM Lucknow is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.

Early applications encouraged. Limited seats are available.

View Payment Plan

Loan offered at EMI of INR 6,063

Special Corporate Enrolment Pricing

Round 1: The first application deadline is
Nov 2, 2022 and the fee to apply is INR 1,500 + GST

Round 2: The second application deadline is
Nov 30, 2022 and the fee to apply is INR 2,000 + GST

Round 3: The third application deadline is
Dec 22, 2022 and the fee to apply is INR 2,500 + GST

Round 4: The fourth application deadline is
Dec 29, 2022 and the fee to apply is INR 2,500 + GST

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In collaboration with

Erulearning Solutions Private Limited (a company incorporated in India) is a subsidiary of Eruditus Learning Solutions Pte Ltd (a company incorporated in Singapore), and operates under the brand name of 'Eruditus' and 'Emeritus'.

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The following instalment options are available for IIM Kozhikode's Advanced Data Science for Managers:

Programme Fee: INR 1,95,000 + GST

	Instalment Amount	Remarks
Booking Amount	INR 20,000 + GST	Within 7 days post selection
Instalment 1	INR 29,000 + GST	Jan 4, 2023
Instalment 2	INR 78,000 + GST	Apr 5, 2023
Instalment 3	INR 48,000 + GST	Jul 5, 2023
Instalment 4	INR 20,000 + GST	Oct 5, 2023

Application Deadlines

	Application Fee	Dates
Round 1	INR 1,500 + GST	Nov 2, 2022
Round 2	INR 2,000 + GST	Nov 30, 2022
Round 3	INR 2,500 + GST	Dec 22, 2022
Round 4	INR 2,500 + GST	Dec 29, 2022

Note:
Admissions are on a first-come, first-serve basis. There might not be subsequent rounds if seats are filled in the initial rounds. The actual programme schedule will be announced closer to the programme start.

Emeritus has partnered with student loan provider who can provide loans to Emeritus' students. You may be able to avail a student loan if you meet the conditions set by the loan provider. The loan providers that we have currently partnered with are:

Propelld (https://propelld.com)
Eduvanz (https://eduvanz.com)

Student Loan Details

Programme Fee	Maximum Loan Amount Available	Tenure (months)	EMI
INR 1,95,000 + GST	INR 2,18,300	36	INR 6,063

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

How to apply for a student loan?

STEP 1: You must complete the

Application process for the programme
Pay the application fees or booking amount (as appropriate for the programme)
Receive an email from the educational institution confirming your selection for the programme

STEP 2: You must complete the loan application form available at the below mentioned URLs

For Propelld at https://propelld.com/signin
For Eduvanz at https://eduvanz.com/emeritus-india

If you need assistance in filling out the loan application form please email Emeritus at info@emeritus.org.

STEP 3: An agent from the loan provider will call, email or visit you and assist you with your loan application. Loan approvals take varying amounts of time. You can discuss how long it would take with the agent who speaks to you.

Please Note:

Emeritus does NOT make any recommendation on whether students should or should not avail of a loan to enrol into its programmes. The decision of whether to avail of a loan is exclusively your decision to make.
Approving of a loan is a decision made exclusively by the loan provider. The loan provider may decline your loan application.
Emeritus does not recommend any specific loan provider. You are required to conduct your own due diligence before making a choice of the loan provider. Please note that loan providers will charge an interest in providing you with a loan. Loan providers may include other charges such as a processing fees, documentation charges etc. before disbursal of loan.
Emeritus encourages students to carefully read the terms and conditions of loan providers before availing of a loan.
Emeritus does not bear any financial obligation related to the loan you apply for. Your financial obligation on the loan you avail of is to the loan provider.
If you default on your loan repayment obligation to a loan provider, Emeritus may notify you to meet your loan repayment obligation.
Your loan provider may initiate loan recovery proceedings as per applicable law.
Your loan provider will transfer the loan amounts directly to Emeritus as required under the arrangement that the loan provider has with Emeritus.
On specific request by the loan provider, Emeritus may inform the loan provider about your employment status, the programme fees, the programme duration and your attendance information on the programme.
Failure to obtain a loan by you cannot be a reason to seek delayed payment schedule from Emeritus and the grant of admission may be withdrawn, if payments are not made by the student as per the listed payment schedule.