Introduction to Python, Basic
Syntax, Data Types, Variables, Operators, Input/output, Flow of Control
(Modules, Branching), If, If- else, Nested if-else, Looping, For, While, Nested
loops, Control Structure, Break, Continue, Pass, Strings and Tuples, Accessing
Strings, Basic Operations, String slices, Working with Lists, Introduction,
Accessing list, Operations, Function and Methods, Files, Modules, Dictionaries,
Functions and Functional Programming, Declaring and calling Functions, Declare,
assign and retrieve values from Lists, Introducing Tuples, Accessing tuples,
Visualising using matplotlib, seaborn
Advanced Python: Object Oriented, OOPs concept,
Class and object, Attributes, Inheritance, Overloading, Overriding, Data
hiding, Operations Exception, Exception Handling, Except clause, Try-finally
clause, User Defined Exceptions, Data wrangling, Data cleaning
Python
Libraries – pandas, numpy, scipy, scrapy, plotly, selenium, beautiful soup
Advanced Analytics: Introduction to Business Analytics using some case
studies, Making Right Business Decisions based on data, Exploratory Data
Analysis - Visualization and Exploring Data, Descriptive Statistical Measures,
Probability Distribution and Data, Sampling and Estimation, Statistical
Interfaces, Predictive modeling and analysis, Regression Analysis, Forecasting
Techniques, Simulation and Risk Analysis, Optimization, Linear, Non linear,
Integer, Decision Analysis, Strategy and Analytics, Text analytics, NLP, Social network analysis,
web scrapping, Dimensionality issues, Ridge & lasso regression,
bias/variance trade off, density, PCA, FA, feature selection, Bagging and
boosting, Simulation : Monte carlo
Overview of Factor Analysis,
Directional Data Analytics, Functional Data Analysis