IIM Kozhikode - Business Analytics for Decision-making | Business Analytics Course

Business Analytics for Decision-making NO PRIOR CODING EXPERIENCE REQUIRED

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STARTS ON TBD

DURATION 8 Weeks (4-5 hours/ week)

PROGRAMME FEE INR 34,746 + GST View Payment Plan Loan offered at EMI of INR 1,440 Documents Required to Apply

ELIGIBILITY Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognised university in any discipline.

STARTS ON TBD

DURATION 8 Weeks (4-5 hours/ week)

PROGRAMME FEE INR 34,746 + GST View Payment Plan Loan offered at EMI of INR 1,440 Documents Required to Apply

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Programme Overview

Understanding the market demand in the industry, IIM Kozhikode has designed the Business Analytics for Decision-making programme to provide an in-depth knowledge of business statistics and analytics. The programme is beneficial for professionals who aim to enhance their decision-making skills by transforming data into impactful business strategies.

As part of the programme, you will also get access to Emeritus Career Services, which empowers you to manage your career proactively.

Emeritus Career Services

Three 90-minute workshops from career management industry experts
Job placement assistance from partner companies are published, applied to, and tracked to success via an online platform (offered in partnership with Superset)
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 Kozhikode is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.

Programme Highlights

Live Webinars with Programme Faculty

96 Video Lectures and Demos

8 Discussion Boards & Assignments*

8 Office Hours with Industry Practitioners

Access to Emeritus Career Services

Certificate of Completion from IIM Kozhikode
(#4 NIRF, 2021)

The programme includes live sessions.

Who is this Programme for?

This programme is specially curated to assist early and aspiring mid-career professionals who are keen on upgrading their skillsets, make a career shift or accelerate their careers in the field of business analytics and data-driven decision-making.
Consultants working on client projects revolving around data-driven strategies through analytics will also benefit from joining this programme.

Programme Highlights

Live Webinars with Programme Faculty

96 Video Lectures and Demos

8 Discussion Boards & Assignments*

8 Office Hours with Industry Practitioners

Access to Emeritus Career Services

Certificate of Completion from IIM Kozhikode
(#4 NIRF, 2021)

The programme includes live sessions.

Learning Outcomes

Identify fit-for-purpose analytical approaches to address management concerns
Explain data quality issues and collection methods
Use a range of appropriate analytical tools and techniques

Interpret analytical findings in a rigorous, clear, and concise manner, and communicate them to non-technical audiences

Critically appraise quantitative reporting

Module 1: Introduction to Statistic and Data Overview
Module 2: Dealing with Uncertainty
Module 3: Generalising sample information to population
Module 4: Testing a claim or idea
Module 5: Hypothesis testing

Module 6: Predictive Modeling and Analytics

Module 7: Illustration on Predictive Modeling & Analytics

Module 8: Prescriptive Analytics and Wicked Problems

Prof. Anirban Ghatak

Assistant Professor,

Economics,

Indian Institute of Management Kozhikode

Prof. Ghatak is a faculty in the Economics department, and has held academic positions at IIM Visakhapatnam, IIM Amritsar, IIM Indore, and Welingkar Institute of Management (Mumbai). His expertise lies in the areas of game theory, non-cooperative game theory, managerial economics, industry study, and advanced data science (Statistics). ... Read More He was an important part of the COVID-19 tracker project developed by IIM Visakhapatnam, and is currently developing a history-dependent citation analysis metric.Read Less

Prof. Soumya Roy

Associate Professor,

Quantitative Methods and Operations Management,

Indian Institute of Management Kozhikode

Prof. Roy’s expertise lies in the areas of quantitative methods, data analytics using R, linear algebra and linear optimisation, statistical learning and inference with R, industrial statistics and advanced quality control, and multivariate data analysis. ... Read More He has received the Prof. U. S. Nair Best Paper Presentation Award at International Conference on 'Statistics for Twenty-First Century' that was organised by the Department of Statistics, University of Kerala. His current research interests include frequentist & Bayesian statistical inference, reliability & survival analysis, Bayesian experimental design, and statistical computing.Read Less

Programme Certificate

Participants will be awarded a Certificate from IIM Kozhikode on the successful completion of the programme with a 60% score. The evaluation methodology is at the discretion of the faculty and includes online exams, case analysis, assignments and any other components as decided by the faculty.

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

Last Date of Application is TBD

Early applications encouraged. Limited seats are available.

View Payment Plan

Special Corporate Enrolment Pricing

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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 Business Analytics for Decision-making programme:

Programme Fee: INR 34,746 + GST

	Amount	Remarks
Booking Amount	INR 8,338 + GST	Within 7 days post selection
Instalment 1	INR 13,204+ GST	Apr 12, 2022
Instalment 2	INR 13,204+ GST	May 3, 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 34,746 + GST	INR 38,950	36	INR 1,440

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 mentioning the name of the programme you are interested in.

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.

Programme Overview

Emeritus Career Services

Programme Highlights

The programme includes live sessions.

Who is this Programme for?

Programme Highlights

The programme includes live sessions.

Learning Outcomes

Programme Modules

Module 1: Introduction to Statistic and Data Overview

Module 2: Dealing with Uncertainty

Module 3: Generalising sample information to population

Module 4: Testing a claim or idea

Module 5: Hypothesis testing

Module 6: Predictive Modeling and Analytics

Module 7: Illustration on Predictive Modeling & Analytics

Module 8: Prescriptive Analytics and Wicked Problems