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DIPLOMA In PYTHON PROGRAMMING (BASIC + PANDAS LIBRARY)(M-PP(+PL-9840)

Last updated Apr, 2026
Certified Course

₹12,000 ₹14,000

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Course Includes

Duration8 Months
Enrolled0
Lectures200
Videos0
Notes0
CertificateYes

What you'll learn

Python programming, combined with its specialized data analysis libraries, offers a powerful ecosystem for transforming raw data into actionable insights.

Python Programming Basics

Python is favored for data science due to its clean, readable syntax and extensive library support. Core Python Basics include:

Variables & Data Types: Understanding Integers, Floats, Strings, and Booleans to store different kinds of information.
Control Structures: Using loops (for, while) and conditional statements (if, else) to manage program flow and automate repetitive tasks.
Functions & Modules: Organizing code into reusable blocks and importing external packages to extend functionality.

Course Syllabus

Part 1: Python Programming Foundations

Focuses on the core syntax and logic required to build any application.

Environment Setup:
Variables & Data Types:
Control Flow:
Data Structures: Mastering Lists, Tuples, Dictionaries, and Sets for organizing data.
Functions

Part 2: Essential Data Analysis Libraries

Covers the "Big Three" libraries used by data analysts and scientists.

NumPy (Numerical Python):
Creating and manipulating N-dimensional arrays.
Vectorized operations for high-speed mathematical calculations.
Pandas (Data Manipulation):
Working with DataFrames and Series.
Reading and writing data from CSV, Excel
Data Cleaning: Handling missing values (NaN), removing duplicates, and filtering data.
Matplotlib (Visualization):
Generating Line plots, Bar charts, and Histograms.