Computer science, data protection & data science instructor
Feten Ben Fredj
Doctor in computer science with teaching and consulting expertise in data protection, anonymisation, software systems and data science.
Computer scienceData scienceGDPR
Module content
Course description
Duration:15 hours (5 sessions, each 3 hours, minimum 1 session per week)
Audience:Managers, team leaders, project managers, and professionals interested in leveraging data-driven decision-making.
Course Overview
What’s This Course About?
In today’s fast-paced, data-driven world, gut feelings don’t cut it anymore—data does! This immersive Business Analytics crash course will take you from basic concepts to hands-on applications, showing you how to transform raw data into powerful insights. Through interactive exercises, real-world case studies, and engaging discussions, you’ll develop essential analytical skills to drive business growth and outsmart the competition.
Course Goals:
- Master Business Analytics: Get a solid grip on the core concepts, significance, and real-world applications of business analytics.
- Sharpen Analytical Thinking: Gain hands-on experience in solving problems with data and predictive insights.
- Make Smarter Decisions: Leverage business analytics tools to make data-driven, strategic moves with confidence.
- Turn Data into Action: Learn how to apply analytics frameworks and methodologies that create real impact.
Learning Path Visual
Session 1: The Power of Business Analytics —
Understand the role and impact of analytics in modern business decision-making.
Session 2: Data Collection & Visualization
Learn best practices for gathering, cleaning, and presenting data effectively using visualization tools.
Session 3: Statistical Analysis & Interpretation
Explore key statistical concepts to analyze business data and extract meaningful insights.
Session 4: Predictive Analytics & Machine Learning
Discover how predictive models and AI-driven techniques forecast trends and drive business success.
Session 5: Real-World Applications & Decision-Making
Apply analytics knowledge to real-world business scenarios and enhance strategic decision-making.
Class Reference: CCS/BA
Form Updated on: 02/13/2025 (Version 1)
Last Modified on: 02/13/2025
Program Information: This program is continuously updated to reflect the latest industry trends, best practices, and cutting-edge technological advancements in business analytics.
Brief pédagogique en français
Introduction à Business intelligence & Analytics est présenté ici en version synthétique française afin que les équipes pédagogiques puissent évaluer rapidement l'intérêt du module.
Le module s'inscrit dans la famille Séries intensives. Il peut être adapté au calendrier de l'école, au niveau Débutant, au volume horaire 15 h et aux modalités d'évaluation prévues.
Objectif d'intervention
Ce module vise à relier les outils data, IA et automatisation à des usages professionnels concrets.
Livrables et activités possibles
- cas d'usage, prompts, scénarios d'automatisation ou analyses data
- évaluation critique des résultats, limites et risques
- communication claire des choix techniques et business
Adaptation école
LC peut ajuster le déroulé, la langue d'enseignement, les supports, les exercices et les critères d'évaluation selon la promotion, le diplôme, le niveau d'autonomie attendu et les contraintes de planning.
Pour une version détaillée du syllabus en français, LC confirme le programme final après cadrage du niveau, des heures, du calendrier et des livrables attendus.
