Python course content is as below -

 

1. Introduction -

 

1.1 Overview of Python

1.2 Values, Types & Variable

1.3 Operands & Expressions

1.4 Conditional Statements

1.5 Loops

1.6 Command Line Arguments

 

2. Sequences and File Operations -

2.1 Python files I/O Functions

2.2 Numbers, Strings and its related operations

2.3 Tuples, Lists, Dictionaries, Sets and its related operations

 

4. Functions, OOPs, Modules, Errors and Exceptions -

4.1 Functions

4.2 Global Variables

4.3 Variable Scope and Returning Values

4.4 Lambda Functions

4.5 Object-Oriented Concepts

4.6 Modules in Python

4.7 Import statements

4.8 Standard Libraries

4.9 Package Installation

4.10 Errors & Exceptions Handling

 

5. Introduction to AI/Machine Learning Libraries -

5.1 NumPy - arrays

5.2 Operations on arrays

5.3 Indexing slicing and iterating

5.4 Reading and writing arrays on files

5.5 Pandas - data structures & index operations

5.6 Reading and Writing data from Excel/CSV formats into Pandas

5.7 matplotlib library

5.8 Grids, axes, plots

5.9 Markers, colours, fonts and styling

5.10 Types of plots - bar graphs, pie charts, histograms

5.11 Contour plots

 

6. Data Manipulation -

6.1 Basic Functionalities of a data object

6.2 Merging of Data objects

6.3 Concatenation of data objects

6.4 Types of Joins on data objects

6.5 Exploring a Dataset

6.6 Analysing a dataset

 

7. Hands on Project

8. Deploy Beside this next actions will be provided by instructor for future grooming.