Data-driven decision making
Paris , France
Tuition Fee
EUR 1,950
Per year
Start Date
Medium of studying
On campus
Duration
4.0 days
Program Facts
Program Details
Degree
Courses
Major
Applied Statistics | Statistics | Operational Research
Area of study
Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 1,950
About Program
Program Overview
This program provides a comprehensive introduction to data science and artificial intelligence, covering fundamentals, data cleaning, and visualization. Led by experts in data science and AI law, it equips participants with the skills to understand, extract insights from, and make data-driven decisions using Python, Pandas, NumPy, and Matplotlib. The program includes a practical module on cleaning and visualizing a business database, demonstrating the real-world applications of data science.
Program Outline
Outline:
Module 1: Data Science and Artificial Intelligence (AI)
- Fundamentals of data science
- Role of data science in business decision-making
- Data coding methods
- Python programming language using Pandas and Jupiter Notebook
Module 2: Data Cleaning and Visualization
- Data cleaning methods
- Data visualization methods
- Understanding data
- Extracting information from data
- NumPy and Matplotlib libraries
- Visual narration
Module 3: Clean Up and Visualize a Business Database
- Practical example of cleaning, understanding, and visualizing a business database
- Data-driven decision making
- Data cleansing
Teaching:
- Trainers/Teachers:
- Doreid Ammar, Professor in Data Science and Computer Science, Academic Director
- Ysens de France, Associate Professor of AI Law, Director of Foresight at the Sapiens Institute
- Prerequisites:
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Location
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