Course Content
Section outline
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Module 1: Introduction to Python (1 Hour)
- Overview of Python and its uses.
- Setting up the Python environment.
- Running Python scripts.
Module 2: Basic Python Syntax and Operations (1.5 Hours)
- Variables, data types, and type casting.
- Operators (arithmetic, assignment, comparison, logical).
- Input and output functions.
Module 3: Data Structures in Python (2 Hours)
- Lists, tuples, sets, and dictionaries.
- Indexing, slicing, and iteration.
- Common operations and methods.
Module 4: Control Flow (1.5 Hours)
- Conditional statements (
if,elif,else). - Loops (
for,while) and loop control (break,continue). - List comprehensions.
Hands-on Lab: Writing Python scripts for data processing.
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Module 5: Functions and Modules (2 Hours)
- Defining and calling functions.
- Parameters, arguments, and return values.
- Lambda functions and built-in functions.
- Importing and using modules.
Module 6: File Handling and Exception Management (1.5 Hours)
- Reading from and writing to files.
- Working with CSV, JSON, and text files.
- Exception handling (
try,except,finally).
Module 7: Introduction to Object-Oriented Programming (1.5 Hours)
- Understanding classes and objects.
- Creating and using classes.
- Attributes, methods, and inheritance.
Module 8: Data Manipulation and Visualization (2 Hours)
- Pandas: DataFrames, data cleaning, and manipulation.
- Matplotlib: Creating line, bar, and scatter plots.
- Combining data analysis with visualization.
Hands-on Lab: Analyzing real-world datasets using Pandas & Matplotlib.
Module 9: Final Project and Wrap-Up (1 Hour)
- Mini-project: Build a small Python application (data analysis script).
- Review and Q&A.
- Next steps for further learning.
