Module: Machine Learning with Python·         Tree Models - Regression Trees and Classification Trees ·         Feature Importance ·         Purity Measures - GINI·         Purity Measures - Entropy MSE ·         Building and Pruning Trees·         Ensemble Methods - Bagged Ensembles ·         Ensemble Methods - Random Forests ·         Ensemble Methods - Gradient Boosting - Xg Boost ·         Clustering - K Means and Hierarchical Models

Module: R·    Data Manipulation·     Data Preprocessing

Module: Descriptive Statistics·         Introduction to Analytics and CRISP DM·         Data Collection and Biases

- Total Teaching Hours: 150 Hrs

Module: Python·         Basic Data Structures·         Data Manipulation·         Pandas Seaborn and MatPlotLib

Module: Inferential Statistics·         Probability Distributions and Sampling Theory·         DOE and Hypothesis Tests - AB tests·         Hypothesis Tests - Chi Square, ANOVA·         Confidence Intervals and Power·         Introduction to Bayesian Statistics

Module: SQL·         SQL Servers as Data Sources ·         Data Normalization and Consequences·         Basic SQL DML Queries·         SQL Joins

Module: Feature Engineering·         Data Exploration - Sanity Checks ·         Preparing Data Quality Reports·         Data Preparation -Outliers and Missing Value Treatments·         Variable Profiling Using Information Value

Module: GLM – Predictive Statistical Modelling with R·         Linear Regression - BLUE Estimators and Interpreting Model Results·         Linear Regression - Checking Model Assumptions and Improving Models ·         Logistic Regression - Logistic Cost Function and Interpreting Model Results ·         Logistic Regression - Measuring Classification Performance - AUC, ROC, Confusion Matrix·         Poisson Regressions - Cost Function, Overdispersion and Zero Inflation ·         Poisson regression - Interpreting Model Results

IIM Indore's Integrated Program in Business Analytics (IPBA)

Module

IPBA

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Module: Text Mining and NLP·     Handling text data·     Handling image data·     NLP

Module : Big Data and Machine Learning with Spark·         Introduction to Big Data Ecosystem ·         Hadoop and HDFS ·         Querying with Hive ·         Data Engineering Case Study·         Introduction to Spark ·         Spark Streaming ·         PySPark ·         ML with Spark Case Studies

Module: Tableau - Generating Business Value with Storytelling and Insights·         Basic of Data Visualization·         Models to Value ·         Pitfalls of Predictive Models in Business ·         Storytelling with Data

Project·         Using Github and Kaggle to build an Analytics Profile ·         Industry Project

IIM Indore's Integrated Program in Business Analytics (IPBA)

Module

IPBA

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Note: We reserve the right to modify the outline due to factors beyond our control.We will communicate any changes to participants in a timely manner.