Python for Data Science
Turn raw data into real insight using Python. This course covers everything from core programming concepts to data wrangling with Pandas and building visualizations with Matplotlib and Seaborn. It’s built for people who want practical, job-relevant skills — not just theory.
Niveau :Intermédiaire
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Que vais-je apprendre ?
- Write Python code for data manipulation and analysis
- Load, clean, and explore datasets with Pandas
- Build charts and visualizations with Matplotlib and Seaborn
- Identify trends and patterns in real-world data
- Structure a basic data analysis workflow
Programme du cours
Topic 1: Python Basics
Build a solid programming foundation before diving into data.
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Lesson 1: Data Types, Variables & Operators
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Lesson 2: Loops, Functions & File Handling
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Python & Pandas Essentials
Topic 2: Data Analysis with Pandas
Wrangle real-world datasets like a pro.
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Lesson 1: Loading & Exploring Datasets
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Python for Data Science – Knowledge Check
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Lesson 2: Filtering, Grouping & Aggregating Data
Notes et évaluations de l’apprenant
Encore aucun avis !
Gratuit
Accès gratuit à ce cours
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NiveauIntermédiaire
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Dernière mise à jour3 août 2026
Salut, bon retour !
Prérequis
- Install Python 3.x and Jupyter Notebook before starting (guide provided)
- No prior programming experience strictly required, but helpful
- A computer with at least 4GB RAM recommended
Ce programme inclut
- Sample datasets (CSV format)
- Jupyter Notebook exercise files
- Python cheat sheet (PDF)