BUSINESS ANALYTICS USING PYTHON

Description

Section 1 – Introduction to R Software & Packages
Section 2 – Data Visualization, Data Summarization & Data Processing
Section 3 – Probability distributions, Estimation and Hypothesis Testing
Section 4 – Predictive Modelling using Stepwise Regression
Section 5 – Building Classification models using General Linear Modelling
Section 6 – Tree Based Method & Segmentation
Section 7 – Modern Supervised Learning – SVM, LDA & Naive Bayes
Section 8 – Segmentation using Clustering Techniques & PCA
Section 9 – Black Box – Neural Networks & Deep learning
Section 10 – Hands-on with Industry Projects