Batch 9
Data Analytics for Business Strategy: Essential Tools and Applications
Analyse, Visualise and Utilise Data for Business Decisions
- 120+ hours of learning with IIM Kozhikode faculty
- IIMK Executive Alumni Status
- 2-Day Campus Immersion at IIMK
- Certificate of Completion from India’s leading B-Schools (NIRF, 2024)
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Drive Strategic Growth with IIM Kozhikode’s Professional Certificate in Data Analytics for Business Strategy
Gain a competitive edge with the Professional Certificate in Data Analytics for Business Strategy from IIM Kozhikode. This online data analytics programme empowers you with in-demand skills in marketing, finance, HR, and supply chain analytics to drive data-led decisions across business functions.
Through hands-on learning in predictive analytics and strategic data tools, this IIM Kozhikode data analytics course helps you turn insights into action. Ideal for professionals seeking a recognised business analytics certification to accelerate growth and career progression.
Programme Highlights
Validate your expertise with a Professional Certificate in Data Analytics for Business Strategy from IIM Kozhikode.
Gain cutting-edge skills in predictive analytics, marketing analytics, financial data analysis, and more.
Learn through practical, high-impact business scenarios and develop a robust framework for data-driven decision making.
Unlock access to a lifelong professional community of IIMK alumni and expand your reach across industries.
Strengthen your learning journey with an immersive, face-to-face experience on the prestigious IIMK campus.
Build confidence in using data analytics for business strategy across functions like marketing, finance, HR, and operations.
Note:
*The primary mode of learning for this programme is via live online sessions with faculty members. The recorded videos and learning material will be available throughout the duration of the programme.
The programme highlights presented above are approximate, and subject to change depending on the availability and expertise of the teaching faculty, as well as the programme's desired outcomes.
Study materials will be provided in either electronic or hard copy format, per the respective course's requirements. For learners residing in India, any courier charges will be borne by the institution. For international learners, courier charges for physical study materials shall be borne by the learners themselves.
Who is this Programme for?
Whether you wish to improve your daily decision-making or disrupt with new strategic initiatives, the Data Analytics for Business Strategy: Essential Tools and Applications programme will give you the relevant skills and mindset to think better, decide with confidence, and get more return on every investment.
Ambitious early-career professionals eager to master data analytics for career advancement. Goals include playing a bigger role in business strategy, gaining insights into modern technologies, and making a career shift.
Mid-career professionals seeking to upskill and enhance expertise through modern analytics. Goals include improving functional performance, showcasing data potential for career advancement, and implementing analytics with managerial and technical insight.
Consultants aiming to enhance consultancy services through descriptive, predictive, and prescriptive analytics. Goals include aiding organisations in strategy formulation, assisting clients in better decision-making with modern tools, and leveraging analytics for improved business outcomes.
Entrepreneurs aiming to revitalise their enterprises. Goals include responding to change and disruption in the industry, designing strategies based on relevant data, and leveraging a premium B-school tag for enhanced credibility with investors and clients.
Live Session Timings
Sunday, 12:15 pm to 3:15 pm
Programme Modules
Types of data: qualitative and quantitative/primary vs. secondary
Use of various data collection techniques across various business domains
Qualitative data collection techniques (FGDs and Depth interviews)
Quantitative data collection techniques (Survey)
Quantitative data collection techniques (Experiments)
Use of various software for data analytics
Introduction to R/IBM SPSS
Data coding and preliminary data analysis
Data cleaning and generating insights through graphics/Visualisation
Generating insights through descriptive analytics
Introduction to statistics and its applications using software
Descriptive statistics and its applications
Inferential statistics and test of hypothesis
Supervised/unsupervised learning algorithms
Regression Analysis
Logistic Regression
KNN
Decision tree
Random Forest
Bagging and Boosting
Generative AI Applications in Data Generation
Developing product introduction strategy
Formulating the data driven pricing strategy
Analyse profitability potential for new products
Estimating the potential volume and new product demand
Managing products with sustainable competitive advantage
Expected profitability of newly acquired customers
Customer level purchase information for customer retention
Predicting customer churn
Improving customer satisfaction through data driven insights
Managing customer loyalty
Understanding Customer Lifetime Value
Recency, frequency, and monetary value (RFM) of customers
Big Data Analytics in Customer Analytics and Market Intelligence
Fundamentals of Finance & Financial Analytics
Data analytics for Financial Strategy Formulation
Financial Modelling and Prediction
Stock Price Forecasting
Credit Risk Modeling
Text mining for business insights
Deciding the media strategy
Publisher optimisation
Campaign optimisation
Analysing effectiveness of digital media marketing
Demand Analytics for Planning & Forecasting
Analytics for Inventory Optimisation
Optimising hiring strategies using data driven insights
HR cost and attrition prediction
Predicting performance appraisals using inferential statistics
Patient Risk Stratification
Note:
Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the participant profile & programme hours.
The primary mode of learning for this programme is via live online sessions with faculty members. The recorded videos and learning material will be available throughout the duration of the programme.
The programme curriculum includes individual assignments, simulations, group projects & presentations to apply and demonstrate classroom learnings.
Tools Covered
Note:
All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
Usage and coverage of tools will be the faculty’s discretion
Learning Outcomes (Tools)
Perform advanced statistical modeling and hypothesis testing using R.
Apply data visualisation techniques using ggplot2 and other libraries.
Conduct business forecasting models using R.
Understand and apply advanced Excel functions for data cleaning, preparation, and basic analytics.
Use Pivot Tables and Data Analysis ToolPak for summarization and descriptive analytics.
Perform basic regression and scenario analysis using Excel’s built-in tools.
Create interactive dashboards and visual analytics.
Learn to connect data from multiple sources and perform real-time data analysis.
Develop advanced visual storytelling techniques for business communication.
Conduct efficient data preprocessing and transformation using Pandas.
Apply statistical analysis and exploratory data analysis (EDA) using Python.
Implement machine learning models, including tree-based algorithms such as XGBoost, for predictive analytics.
Automate repetitive data tasks and build analytical workflows using Python libraries.
Programme Director
Associate Professor, Marketing Management
Prof. Sreejesh's primary research interests include marketing analytics, brand management, services marketing, and online marketing & advertising. His publications have appear...
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.
Learning Outcomes
This programme equips you to be a data-driven decision-maker, transforming raw information into actionable strategies across various business functions.
Become a Data Detective: Master the art of extracting hidden patterns from data, bridging the gap between information and impact.
The Right Tool for the Job: Develop a comprehensive understanding of tools and techniques, confidently selecting the most effective approach for each analytical objective.
HR Analytics Revolution: Learn to analyse employee demographics, performance metrics, and sentiment to build a stronger, more engaged workforce.
Marketing Alchemy: Transform customer data into actionable insights. Discover strategic approaches to customer segmentation, targeted digital marketing campaigns, and maximising ROI.
Finance with Foresight: Uncover the predictive power of financial data. Learn to utilise data analytics for risk assessment, investment planning, and optimising financial performance.
Operations Optimisation: Gain a data-driven perspective on streamlining operations. Utilise analytics to identify bottlenecks, improve efficiency, and enhance resource allocation.
See into the Future: Master the art of predictive analytics. Understand how to forecast future trends, anticipate customer behaviour, and develop proactive business strategies.
The Strategic Edge: Leverage data to gain a competitive advantage in areas like product development, pricing strategies, and brand management.
Success Stories
Notes:
All product and company names are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.
Emeritus and IIMK make no promise or guarantee regarding placement or career transition. We do not offer any placement services or assurances in securing employment outcomes.
Key Skills Acquired
Discover What The Learners Have To Say About IIMK DABS
Past Participant Profiles
Work Experience
Top Industries
Information Technology Services
Banking and Finance
Manufacturing
E-Commerce
FMCG
Oil and Gas
Top Functions
Marketing and Sales
IT Systems
Operations
Consulting
Finance
HR and Administration
Top Companies
Indian Navy
Government of India (Army)
Gartner India Research & Advisory
Tata Consultancy Services
PwC-India
JP Morgan Services India Private Limited
IIM Kozhikode Executive Alumni Status Benefits
On successful completion of the programme, participants will be eligible for the prestigious IIM Kozhikode Executive Alumni Status. These participants will subsequently receive the alumni registration details from IIM Kozhikode. The benefits include:
Eligible to receive Publications and Newsletters of IIMK periodically
Online access login details to Kasebook (Online Alumni Portal)
Issuance of Alumni Identity Card
Availing MDC/Guest Rooms at prevailing rates subject to availability
Note: The Executive Alumni benefits are subject to the discretion of IIM Kozhikode.
Frequently Asked Questions
FAQs: Data Analytics for Business Strategy Programme
The programme is conducted over a period of 10 months and includes a mix of live online sessions, pre-recorded lectures, and hands-on projects.
Eligibility is Graduates or Diploma-holders from a recognised university in any discipline with a minimum of one year of work experience after graduation, as on Sept 30, 2024.
Yes, participants are usually assessed through quizzes, assignments, and projects. Upon successful completion of the course and fulfilling the assessment criteria, participants receive a certificate from IIM Kozhikode.
Business strategy involves understanding the market, customers, and competitors. Data analysts play a crucial role in this process by collecting trends from various sources, such as surveys, market studies, and databases, and then analysing and presenting this information numerically.
The future of data analysis extends beyond the IT or analytics departments. Data analysts will increasingly collaborate across various functions, such as marketing, finance, and operations, to deliver insights specifically tailored to each business area's needs.
Data analytics enables organisations to understand competitors' strategies, strengths, and weaknesses. Enrolling in a business analytics programme equips individuals with the skills to make informed decisions, enhancing an organisation's productivity and competitiveness.
The programme includes hands-on experience with various data analytics tools and software, such as: Python, R, XLSTAT, and Excel.
Yes, the programme often includes opportunities for participants to network and collaborate with peers, industry professionals, and faculty members. This can be valuable for sharing insights, discussing real-world applications, and building professional connections.
For an immersive and experiential learning journey, the programme offers a campus chapter at IIM Kozhikode campus of 2 days as a part of the programme's learning journey providing a rich networking and face to face learning opportunity.
Your chosen programme has 88% satisfaction rating by 100+ past learners. We encourage our learners to complete the programme to fully understand the concepts and derive valuable learning outcomes. Should you still feel the need to stop your learning journey, a refund request can be initiated before the programme commencement. However, after the programme commences, fee becomes non-refundable.
Student Loan Available
Below EMI plans are available for the Programme Fee: INR 2,10,000 + GST
Full Fee with GST | Tenure (months) | EMI |
|---|---|---|
INR 2, 47, 800 | 36 | INR 8,704 |
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
The Learning Experience
Join a global community of 300,000+ professionals across 200 countries who have advanced their careers with Emeritus. In a recent survey, 9 out of 10 learners said their expectations were met or exceeded.
From day one, you’ll get access to carefully designed course material, live interactions, and a structured cohort-based journey that keeps you on track. Our approach blends flexibility with accountability—so you don’t just start, you finish strong.
And you’re never on your own. A dedicated program support team is available 7 days a week to guide you with platform queries, technical support, or any learning-related questions—so you can focus on what really matters: your growth.
A dedicated programme support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
Elevate your career with this programme!
Flexible payment options available.
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