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Python 101: Introduction to Python

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

Python 101: Introduction to Python

Instructeur : Dartanion Williams

Inclus avec

5 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

1 semaine à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

5 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

1 semaine à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

How to set up a Python development environment and write Python programs using variables, data types, conditional logic, and loops
How to use Python data structures including lists, tuples, sets, and dictionaries to store and manipulate data
How to write Python functions and use the Pandas library to load, clean, transform, and process real-world datasets

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

mai 2026

Évaluations

5 devoirs

Enseigné en Anglais

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Il y a 5 modules dans ce cours

This course introduces the Python programming language to absolute beginners through energetic, hands-on instruction that makes coding fun and approachable. Organized across four modules; Welcome to Python, Python Foundations, Introduction to Programming, and Data Processing with Python. The course builds programming foundations through real-world applications using Python's most useful libraries.

Learners benefit by gaining practical programming skills that are immediately applicable in data analysis, automation, and software development roles. From setting up a Python environment and writing first programs to working with data structures, writing functions, and processing data with Pandas, this course provides a complete introduction to Python's capabilities. By the end of this course, learners will be able to write Python programs that use variables, conditionals, loops, functions, and Pandas DataFrames to solve real-world data processing problems.

Détails du module

In this chapter, you explore how Python is used to solve real-world problems, learn to install and run it effectively, build a foundation in its core syntax and data types, and create your first programs using control flow, regular expressions, and essential development tools.

Inclus

3 vidéos3 lectures1 devoir

3 vidéosTotal 11 minutes

Introduction1 minute
Introduction to Python and Programming7 minutes
Setting Up Python3 minutes

3 lecturesTotal 22 minutes

How to Install Python and Create a Virtual Environment Document Virtual Enviroment Document Chapter 1 Document Chapter 2 Document Chapter 3 Document Chapter 3 Account Balancing Document Python Glossary PDF5 minutes
Python Glossary2 minutes
Optional Lab Assignment File15 minutes

1 devoirTotal 10 minutes

Welcome to Python10 minutes

Inclus

2 vidéos1 lecture1 devoir

In this chapter, you build on your Python foundation by mastering loops, core data structures like lists, tuples, sets, and dictionaries, and advanced techniques such as nested collections and list comprehensions to create more dynamic, efficient, and real‑world‑ready programs.

Inclus

4 vidéos1 lecture1 devoir

In this chapter, you learn how Python functions, pandas data analysis tools, DataFrames, and user‑input validation work together to create flexible, efficient, and user‑friendly programs for real‑world applications.