The basic numeric data types in Python: int (integers) and float (decimal numbers)
The string (str) data type for working with text in Python
The boolean (bool) data type for True / False values
The most useful collection types: list, tuple, set, and dict (dictionary)
How Python automatically assigns a data type when you give a value to a variable, and how to check types using type()
We’ll focus on the data types that matter most for Python for data analysis: numbers, strings, lists, and dictionaries, which you’ll use later with libraries like pandas and NumPy.
By the end of this video, you’ll understand what Python data types are, how to choose the right data type, and why this matters when working with real datasets.
This lesson is part of the “Python for Data Analytics” series for absolute beginners and career switchers.
▶
▶ Subscribe for more tutorials on Python, SQL, Power BI, and Excel for data analytics.
Learn data analytics from scratch with practical tutorials on SQL, Python, Power BI, and Excel, designed for beginners and career switchers.
Simple, project-based lessons to help you become a job-ready data analyst step by step.
Welcome to Data by Mousa (English) – your space to learn data analytics from scratch with clear, practical tutorials.
On this channel, you’ll learn how to work with the core tools every data analyst needs:
SQL for querying and understanding data
Python for data analysis and automation
Power BI for dashboards and interactive reports
Excel for data cleaning, analysis, and quick insights
The content is designed for:
Beginners who want to start a career in data analytics
Employees who want to use data in their daily work
Students who want practical, project-based learning beyond theory
You’ll find:
Step‑by‑step tool tutorials (SQL, Python, Power BI, Excel)
Full courses organized in playlists (from basics to projects)
Realistic data projects to build your portfolio
Tips, best practices, and mindset for thinking like a data analyst
If you want to go from “I don’t know where to start” to “I can analyze data, build dashboards, and answer business questions,” subscribe and follow along with the lessons.
New videos focus on clear explanations, real examples, and skills you can use immediately in your work or studies.
Sur cette page du site, vous pouvez voir la vidéo en ligne 04 - The differences between variables data types (int,str,bool,float)| Python Course| Data by Mousa durée heure minute seconde en bonne qualité , qui a été Téléchargé par l'utilisateur Data by Mousa 15 mai 2026, Partagez le lien avec vos amis et connaissances, sur youtube cette vidéo a déjà été regardée 2 fois et il a aimé 0 téléspectateurs. Bon visionnage!