Introduction to Python

• Installation and working with Python
• Python as a script and language
• Datatypes used in Python
• Understanding variables
• Working with Operators

Control Statements

• Simple If
• Multiple If
• Nested If
• While Loop
• For Loop
• Nested Loop
• Break, Ccontinue and Pass

Functions

• Defining a function
• Calling a function
• Types of functions
• Function Arguments
• Writing main()

OOPS using Python

• Defining Class and object
• Defining Attributes and Methods
• Implementing Inheritance
• Method Overloading
• Method Overriding
• Data Hiding

Handling Strings

• Declaring and using String constants
• Accessing Strings
• Basic String operations
• String Slicing
• Formatting String
• Using methods on string objects
• Examples and Excercises

Using Lists

• Introduction to Lists
• Accessing List
• Basic operations
• indexing on list
• Functions and Methods
• Examples and Excercises

Dictionaries

• Concept
• Using Key:Value pairs
• Accessing Values in Dictionaries
• Working with Dictonaries
• Functions and methods
• Examples and Excercises

Tuples in Python

• Concept of Tuples
• Declaring and populating Tuple
• Accessing Tuples
• Operation on Tuples
• Functions and methods
• Examples and Exercises

Files

• What is a File?
• Opening files of different types
• Closing a file
• Writing data to a file
• Appending Data to a file
• How to read from a file
• Reading line by line at a time
• Python File methods
• File Modes
• Examples and exercises
• Mini project-1
• Mini project-2
• Mini project-3

NumPy

• Introduction to NumPy
• NumPy arrays
• Review on Array Indexing
• NumPy array Indexing
• NumPy Operations
• NumPy Matrix operations
• NumPy Exercies

Pandas for Data Analysis

• Introduction to Pandas
• Series
• Creating and Handling DataFrames
• Missing Data Handling
• Using GroupBy
• Merging, Joining, concatenating
• Data Input/Output
• Exercises

MatPlotLib

• Simple Plot
• Multiplots
• Subplots
• Grids
• Formatting Axes
• Setting Tick and Tick Labels
• Bar chart
• Histogram
• Scatter Plot
• Pie Chart
• Box Plot
• Exercisews

Machine Learning

• Introduction to Machine Learning Concepts
• Supervised Learning
• Unsupervised Learning
• Reinforced Learning
• Classification
• Regression
• Clusturing

Any One for Project Implementation

• Linear Regression
• Logistic Regression
• K Nearest Neighbors
• Decision Trees and Random Forests
• Support Vector Machines
• K Means Clustering
• Principal Component Analysis

Project Implementation