Data-driven decision making

Program Overview

Data-driven decision making

Overview

This module is the first part of the "Data Science and Modeling" certificate. The objective is to take in hand data visualization, exploratory data analysis, then explore the power of data and its role in business decision making.

Objectives

• The basic knowledge and business applications of data science
• Concrete experience in data cleansing and data visualization
• The skills to implement data solutions in your company

Content

Day 1: Data Science and Artificial Intelligence (AI)

• Discover the fundamentals of data science and its role in business decision-making.
• The main concepts covered in this module are: decision making with data, data coding methods, and the Python programming language using Pandas and Jupiter Notebook.

Day 2: Data cleansing and visualization

• Focus on data cleaning and data visualization methods: how to understand data and how to bring out their information.
• The main concepts covered in this module are: data cleaning, data visualization, the NumPy and Matplotlib libraries and visual narration.

Day 3: Clean up and visualize a business database

• Explore a practical example to clean, understand, and visualize a business database.
• The main concepts covered in this module are: data-driven decision making, data cleansing, data visualization and visual storytelling.

Trainers/Teachers

Doreid Ammar

• Expertise: Data science
• Professor in Data science and Computer science | Academic Directors

Program Details

• Prerequisites: Good knowledge of mathematical tools (linear algebra, probability, statistics) and programming (Python).
• Location: Cachan
• Duration of the training: 4 days
• Dates: January 6-7 & 20-21, 2023
• Price: €1,950 excluding VAT

Support for Individuals with Disabilities

• Our training programs are open to everyone. If you have specific needs, especially related to a disability, please do not hesitate to contact us. Our team is ready to welcome you and address your needs. Find the welcome guide and all the information about the support and assistance available for our students and participants with disabilities!

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: