IIM Kozhikode - IIM Kozhikode - Data Analytics for Business Strategy: Essential Tools and Applications
- Offered byEmeritus
IIM Kozhikode - Data Analytics for Business Strategy: Essential Tools and Applications at Emeritus Overview
Duration | 10 months |
Total fee | ₹1.75 Lakh |
Mode of learning | Online |
Credential | Certificate |
IIM Kozhikode - Data Analytics for Business Strategy: Essential Tools and Applications at Emeritus Highlights
- Earn a certificate of completion and alumni status from IIM Kozhikode
- Fee payment can be done in instalments
- Learn from IIM Kozhikode faculty & industry experts
- Learn from world-class curriculum, real-world case studies & a group project
- Gain expertise on widely used tools and software like python, excel, R
IIM Kozhikode - Data Analytics for Business Strategy: Essential Tools and Applications at Emeritus Course details
- For early-stage professionals aspiring to strengthen their skills and establish a career in data analytics, product, sales, marketing, and branding domains
- For senior managers and leaders who want to acquire a nuanced understanding of the application of analytics to conceptualise superior business strategies
- For consultants who want to use the right mix of data analytics, insight and strategy to assist their clients in connecting the dots
- For entrepreneurs and business owners keen on driving customer-centric decision-making through practical data analytics strategies
- Understand how data-driven insights can be used for making effective decisions across domains like Marketing, Finance, Operations and HR
- Identify the correct analytics tool for a specific need and find reliable ways to collect, analyse, visualise and utilise data for decision-making
- Understand how analytics can help to generate new product ideas and to screen and evaluate alternatives
- Learn how to compute Customer Lifetime Value for analysing customer loyalty, brand loyalty and forecasting revenue in the short and long run
- Learn predictive modelling and its applications across domains
- Learn the concepts and metrics to evaluate and optimise digital marketing efforts
- Understand how to use data analytics to forecast, plan and optimise inventories
- This course will equip you with tools to combat real-world problems using data analytics and thus, refine day-to-day business decision making
- Learn applications of data analytics in marketing, product, retail & sales, customer research & insights, and digital marketing
- By the end of the programme, you will acquire a data-driven analytical framework that will help you solve critical business challenges and spur career advancement
IIM Kozhikode - Data Analytics for Business Strategy: Essential Tools and Applications at Emeritus Curriculum
Module 1: Data and Sources Of Data
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)
Module 2: Data Analytics Fundamentals
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
Module 3: Understanding Statistics for Business Applications
Introduction to statistics and its applications using software
Descriptive statistics and its applications
Inferential statistics and test of hypothesis
Module 4: Data Mining and Predictive Modelling Algorithms for Business Data
Supervised/unsupervised learning algorithms
Regression Analysis
Logistic Regression
KNN
Decision tree
Random Forest
Bagging and Boosting
Module 5: Data Analytics for Product Strategy Formulation
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
Module 6: Data Analytics for Marketing and Customer Analytics
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
Module 7: Data Analytics for Financial Decisions
Fundamentals of Finance & Financial Analytics
Data analytics for financial strategy formulation
Financial modelling and Prediction
Stock Price Forecasting
Module 8: Data Analytics for Digital/ Social Media
Text mining for business insights
Deciding the media strategy
Publisher optimisation
Campaign optimisation
Analysing effectiveness of digital media marketing
Module 9: Data Analytics for Operations and Supply Chain (Emeritus Faculty)
Introduction to Operations and Supply chain Metrics
Demand Analytics for Planning & Forecasting
Analytics for Inventory Optimization
Prescriptive Analytics in Network Design & Planning
Module 10: Data Analytics for HRM
Evolution of HR analytics
Optimising hiring strategies using data driven insights
HR cost and attrition prediction
Analytics for talent management
Predicting performance appraisals using inferential statistics