📊 Data Science · New 2026
Data Science & Data Analysis
pandas, NumPy, Matplotlib, Seaborn — transform raw datasets into actionable insights and strategic decisions.
40 hours of training
Sfax & Tunis
Certificate awarded
What you will learn
Load, clean and manipulate data with pandas
Create professional visualisations
Apply descriptive statistical methods
Conduct a complete exploratory analysis (EDA)
Build reporting dashboards
Present insights to a non-technical audience
Programme
01
Python for Data
- NumPy — arrays & vector computing
- pandas — DataFrames & manipulation
- Data cleaning & preparation
- Joins, groupby, pivot tables
02
Data visualisation
- Matplotlib — core charts
- Seaborn — statistical visualisations
- Plotly — interactive charts
- Data storytelling
03
Applied statistics
- Descriptive statistics
- Distributions & probabilities
- Hypothesis testing
- Correlation & regression
04
Real data projects
- Exploratory data analysis (EDA)
- Reporting dashboard
- Basic ML predictions
- Results report & presentation
Prerequisites
Basic Python knowledge required. Ideal for students in computer science, economics, biology or any professional working with data.
Join the Data Science course
2026/2027 sessions — Limited places · Sfax and Tunis