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Codynn

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Python for Data Science

Learn how to analyze, manipulate, and visualize data using Python Work with powerful libraries like NumPy, Pandas, and Matplotlib to clean data, perform analysis, and create meaningful visualizations . Explore basic statistics and exploratory data analysis to gain insights from real-world datasets

Get Started!
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Course Details

Language

Python

Duration

Approximately 3–4 weeks (with hands-on dataset projects).

Difficulty:

medium

Category

Programming

Certificate

Yes

Requirements

  • Basic knowledge of Python
  • Understanding of variables, functions, and loops
  • Python installed on your computer
01

Advanced NumPy Techniques

3 Chapters - 0/3 Completed

Introduction to NumPy

Overview of NumPy Arrays

Advanced NumPy Features

02

Data Manipulation with Pandas

4 Chapters - 0/4 Completed

Introduction to Pandas

Data Structures in Pandas

Data Cleaning and Transformation

Exploratory Data Analysis (EDA)

03

Data Visualization with Matplotlib

3 Chapters - 0/3 Completed

Introduction to Matplotlib

Basic Plotting with Matplotlib

Advanced Plotting Techniques

04

Advanced Visualization with Seaborn

3 Chapters - 0/3 Completed

Introduction to Seaborn

Statistical Plots with Seaborn

Visualizing Categorical Data

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