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Codynn

A Product of VOID NEPAL © Codynn 2026

Python for Data Science

Python for Data Science equips you with the skills to analyze, manipulate, and visualize data effectively using Python You’ll work with popular libraries like NumPy, Pandas, and Matplotlib to handle large datasets and create meaningful visualizations

See moreSee less. The course introduces data cleaning, transformation, and aggregation for preparing data for analysis. You’ll also learn basic statistics and exploratory data analysis (EDA) techniques to draw insights from real-world datasets. By the end, you’ll be able to build data-driven solutions and communicate findings effectively. This course is an essential step for aspiring data analysts and scientists.
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

Content

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

Reviews

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I love these courses, thanks to gobby
SAD VIBZ