IIM Lucknow - Data Science and AI for Managers 

Module 1

Effective Data Collection and Preparation Techniques (primarily taught in R)

Data Science Life Cycle, R, data cleaning, handling missing data and outliers, Data Visualization

Leverage Descriptive Analytics for Monitoring and Analysing Business Data (primarily taught in R)

Basic Statistical measures, probability, and random variable, binomial and normal distributions

Draw Inferential Conclusions via Statistics

(primarily taught in R)

Sampling, Hypothesis testing - one sample and two samples), Chi-Square Tests, ANOVA

Module 2

Predictive Analytics: Anticipating Business Outcomes (primarily taught in R)

Linear Regression, Logistic Regression, Time Series Analysis, PCA, and Factor Analysis

Building Python Foundations

Fundamentals of Python

Unveiling the Power of Machine Learning and Cloud (primarily taught in Python)

Supervised and unsupervised Machine Learning, NLP: Text, Web, Recommender Systems,

How to use ML algorithms for CRM and Personalization, Fraud Detection, Sentiment Analysis and Customer Feedback, Dynamic Price Optimization

Cloud Infrastructure, Cloud Based ML Services, Cloud Enablement - scalability and flexibility

Module 3

Big Data Analytics (primarily taught in Python)

Data Scraping: Extracting data from Twitter, and Instagram, Data storage: No SQL and Hadoop ecosystem, Data Processing: PIG, HIVE, Spark, and in-memory analytics

AI and Cognitive Analytics for Managers (primarily taught in Python)

Artificial Intelligence, Deep Learning: Backpropagation, RNN, CNN, Reinforced Learning, Generative AI

How to use Cognitive Analytics and Deep Learning algorithms for automation, building Recommendation Systems, analysing consumer data, conducting risk management

Understanding emerging themes: FaaS, Edge Computing, Federated Learning, AutoML, Explainable AI, Cloud ML-Ops