This program was developed with the help of the leading experts in Data Science and will notably enable you to:
Employed at the most innovative companies on the market, they will deliver their best methods to you and share their successes as well as their failures.

Fanjuan Shi
CIO & CDO



Maxence Haouari
Engineering Manager



Claire Gouze
Head of Data


Partie 1 - Les fondamentaux de Python
Introduction and Data Handling
Exploration of the Python environment with Jupyter Notebook or Google Colab.
Mastery of lists, tuples, dictionaries, and sets to efficiently organize and manipulate data.
Utilization of multidimensional arrays and numerical calculations to optimize data processing with NumPy.
Analysis with Pandas
Creation and manipulation of DataFrames, handling of missing data, and basic operations.
Techniques for dealing with disorganized data and performing basic transformations.
Identifying trends and anomalies in a dataset.
[WORKSHOP]
Hands-on Group Workshop
Participants will handle a simple dataset using Jupyter Notebook and Pandas, then apply basic calculations and create simple visualizations.
Partie 2 - Visualisations percutantes avec Python
Exploratory Analysis and Visualization:
Calculation of central tendencies, dispersion, and aggregations with Pandas.
Creation of static charts (lines, bars, scatter plots).
Generation of interactive charts and dynamic dashboards.
Introduction to Machine Learning
Introduction to key concepts and methodologies.
Using scikit-learn to develop a basic predictive model.
Analysis of results to optimize the model.
[WORKSHOP]
Hands-on Group Workshop
The participants will analyze a more complex dataset, create interactive visualizations, and develop a simple predictive model.
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Python & Data Science
4.7
5 out of
658
meetings
Custom-designed by experts employed at the most innovative companies in the market, our Python training courses for data science provide you with a comprehensive and practical experience to effectively learn how to manipulate and analyze data.
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