Python Training – Data Science (Numpy Pandas Matplotlib)
In this training science of data we start with the grip of working tools: Jupyter Notebook, Spyder, among others. Then we start with Numpy (numerical Python). We insist on calculation functions: maths, stats, fi nancial, etc. The heart of the training is Pandas. This module allows you to sort, filter, select, cut, truncate, categorize, group, aggregate, rotate, stack, cross, and so on. Pandas does what a spreadsheet and SQL table do and more. Pandas allows you to apply Numpy or other functions. In addition, Pandas can automate procedures and work in volume (parallel computing on multiple processors, on graphics card or on a cluster). Pandas is often the machine learning model foundation, because you have to prepare the data before using it. Finally, Pandas makes it easy to visualize data with modules like Matplotlib and Seaborn. There is also a GeoPandas extension for geomatics to enhance map visualization.
Some specializations and pointed topics not covered are available extra. We will revise them quickly.
tool
Install the Anaconda distribution
Python for scientific computing: Numpy
Introduction to Numpy
Create ndarray objects
Data selection
Add, edit, delete items
Use numpy functions
Enter exit
Manipulating data with Pandas
Series objects
DataFrames objects
Data selection
Aggregation functions
Merge, Join, Remodeling
Use lambda functions
Make a dynamic crossover (Pivot Table)
Manipulate excel data (csv) and json
Visualize data with Matplotlib
2D curve display
Point cloud display
Histogram display
Web API
Request to an API
Get the answer
Treat the answer
Application: API Twitter, analyze and visualize in time
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Autre(s) cours dans cette catégorie
→ R Language Course: RStudio, Reporting
→ Python Training for Data Science | scientific python
→ Python Training – Data Science (Numpy Pandas Matplotlib)
Préalables :
- Basic knowledge of python
Objectifs :
- Use the main numerical calculation libraries including Numpy, Pandas and Matplotlib
- Collect data on a Web API
Classe virtuelle (en ligne) :
- 04/08/2025 au 06/08/2025
- 22/09/2025 au 24/09/2025
- 27/10/2025 au 29/10/2025
- 24/11/2025 au 26/11/2025
- 02/02/2026 au 04/02/2026
- 02/03/2026 au 04/03/2026
- 11/05/2026 au 13/05/2026
- 01/06/2026 au 03/06/2026
Montréal :
- 22/09/2025 au 24/09/2025
- 30/03/2026 au 01/04/2026
- 15/06/2026 au 17/06/2026
- 31/08/2026 au 02/09/2026
- 09/11/2026 au 11/11/2026
Québec :
- 05/01/2026 au 07/01/2026
- 20/07/2026 au 22/07/2026
- 08/02/2027 au 10/02/2027
Gatineau / Ottawa :
- 11/05/2026 au 13/05/2026
1274 $
per participant
Duration :3 day(s), is 21 hours.
Hours: 9 am-5pm, 2 coffee breaks.
Locations: Montreal, Gatineau / Ottawa, Quebec City.
Regular price: 1499 $
*The preferential rate applies if you register at least two participants in the same session.
“ I want to thank you both for providing my resources some excellent training(Cobol) 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 customised and personalised training course. We’ll look forward to continuing our partnership for future training needs. “
“J’ai grandement apprécié les méthodes d’enseignement du prof. Le fait que nous soyons un petit groupe a grandement facilité les apprentissages. Il s’adapte à son audience et les exercices sont formateurs. Je recommande fortement. “
“ Ce fut un plaisir de faire affaires avec Doussou Formation. Ce qui fait LA différence est le service personnalisé totalement à l'écoute des participants ainsi que l'adaptation aux besoins de formation. Flexibilité / Adaptabilité / Professionnalisme / Courtoisie. Merci!“