Python and Data Science Training – Complete Tour
To work effectively with Python, you must understand how to manage independent modules. Installing and importing a module is like buying a new box of Legos: it gives you more building blocks. This allows you to extend Python’s capabilities — for example, adding the ability to process CSV files or spreadsheets.
Python also needs to interact with your computer. This means learning how to manage the operating system: setting the working directory from which data will be imported, for instance. Imported data — whether from files or from the web — is rarely perfect. It must be cleaned, prepared, and corrected. In a spreadsheet, you would use features like Find and Replace. In Python, you can achieve this and much more with the **regex** module.
In many industries, time is a central dimension of data (time series). The **datetime** module is essential and also introduces the foundations of data science, since time-based datasets are often the basis of forecasting models (machine learning). In fact, as soon as you begin cleaning and transforming data, you are already entering the world of data science, particularly with the **NumPy** and **Pandas** modules.
Additional topics are covered in the appendix, including an introduction to object-oriented programming to accelerate computations, **doctest** for documenting source code, and **MicroPython** for microcontrollers (a part of the Internet of Things). These will be reviewed briefly.
Introduction to the Python and Data Science Course – Block 1
- Variable types (integer, float, boolean, etc.) and basic operators;
- Data structures (list, tuple, dictionary, etc.);
- Flow control (if-else, try-except-finally);
- Loops (for, while);
- Combining flow control and loops;
- Functions and methods (function(object) and object.method());
- Importing external modules to access additional functions and methods;
- Syntax principles and best practices.
Introduction to Python – Block 2
- Managing modules;
- Administering the operating system;
- Extracting data from the web (web scraping);
- Cleaning and transforming data using the regex module;
- Working with time using the datetime module.
Introduction to Data Science
- Jupyter Notebook, Spyder, and other tools;
- Introduction to NumPy;
- Introduction to Pandas – Series objects;
- Introduction to Pandas – DataFrame objects;
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- Extra: Introduction to Pandas – Instructions;
- Extra: Tidy Data;
- Groupby operations and aggregations;
- Data collection from Web APIs and analysis;
- Data visualization;
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- Extra: Geospatial visualization.
Other course(s) in this category
→ Training in Statistical Analysis and Data Preparation with R
→ The Most Comprehensive Power BI Training
→ Python and Data Science Training – Complete Tour
Prerequisites:
Objectives:
- Take control of and write Python code;
- Become familiar with Python’s standard modules;
- Learn how to organize your code into modules and packages;
- Gain an introduction to Data Science with Python;
- Use data analysis libraries and tools effectively;
- Visualize results clearly.
Online
- 23/02/2026
- 24/02/2026
- 25/02/2026
- 26/02/2026
- 19/05/2026
- 20/05/2026
- 21/05/2026
- 22/05/2026
Pricing
Practical information
- Duration: 4 day(s)
- Schedule: 9:00 a.m. to 4:30 p.m. (2 coffee breaks + 1-hour lunch)
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Format:
- Online (live virtual classroom)
- Or in person, depending on availability
📄 Download course outline (PDF)
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FR
« Je tiens à vous remercier tous les deux d’avoir offert à mes ressources une excellente formation COBOL au cours des trois derniers jours.
Mamadou, merci d’avoir été si accommodant malgré le court préavis et d’avoir envoyé votre formateur à Gatineau pour ce cours personnalisé.
Nous avons hâte de poursuivre notre collaboration pour de futurs besoins de formation. »
(Traduit de l’anglais)
EN
“I want to thank you both for providing my resources with excellent COBOL training over the past 3 days. Mamadou, thank you for being so accommodating on such short notice and for sending your facilitator to Gatineau for this customized and personalized training course. We look forward to continuing our partnership for future training needs.”
FR
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EN
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into our corporate software. What we appreciated most was his attention to detail and consistency. Mamadou was very professional and
is knowledgeable in many other technologies. Thank you.”
(Translated from French)
FR
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“It was a pleasure doing business with Doussou Formation. What truly makes THE difference is the personalized service, fully attentive
to participants, as well as the ability to adapt the training to their needs. Flexibility / Adaptability / Professionalism / Courtesy. Thank you!”
(Translated from French)