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Daniel Lang and Imed Boughzala

Avec la prolifération d'objets connectés (ordinateurs, tablettes, montres, etc.), des masses importantes de données sont générées chaque seconde. Ces Big Data ont mené vers l'émergence d'une économie des données, où ces dernières constituent la principale source d'avantage concurrentiel pour les entreprises. En ce sens, les données et leurs outils de traitement sont devenus une priorité stratégique des entreprises et l'accélérateur principal de leur transformation digitale.

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Avec la prolifération d'objets connectés (ordinateurs, tablettes, montres, etc.), des masses importantes de données sont générées chaque seconde. Ces Big Data ont mené vers l'émergence d'une économie des données, où ces dernières constituent la principale source d'avantage concurrentiel pour les entreprises. En ce sens, les données et leurs outils de traitement sont devenus une priorité stratégique des entreprises et l'accélérateur principal de leur transformation digitale.

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Ce MOOC aborde donc la place de la donnée dans la transformation digitale des organisations à travers 10 séquences de cours réparties sur 5 semaines et une grande variété de contenus :

• Des jeux de slides, vidéo-scribing expliquant l’impact des données dans les entreprises, la transformation digitale pour capitaliser sur les données et les outils, méthodes et technologies pour mettre en œuvre ces stratégies orientées Données

• Des vidéos rassemblant les témoignages de professionnels et d'académiciens, qui met en évidence à travers des exemples concrets l'importance de la donnée en tant que catalyseur de la transformation digitale et source d'avantage concurrentiel.

• Des lectures obligatoires pour compléter les thèmes abordés dans les slides et vidéo, notamment les défis et bénéfices de la gestion des données dans le cadre de la transformation digitale.

• Des QCM portant sur l'ensemble du contenu de chaque chapitre.

Un certificat est délivré pour toute note supérieure à 50%.

Ce MOOC a reçu le soutien financier de la Fondation Patrick & Lina Drahi.

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What's inside

Syllabus

Introduction
Place de la donnée dans la transformation digitale
Transformation digitale pour capitaliser sur les données​
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Concepts clés liés à la donnée
Management des données & Gouvernance des données
La modélisation des données​
Management des données maîtres (MDM)
Management de la qualité des données
Systèmes d'information décisionnel et visualisation de données
Intelligence Artificielle
Le Règlement Général de la Protection des Données
Activité d'évaluation

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Ce cours s'adresse aux professionnels et aux cadres des entreprises qui souhaitent utiliser les Big Data pour la prise de décision et la transformation digitale
Ce cours est dispensé par Daniel Lang et Imed Boughzala, deux experts réputés dans le domaine des Big Data et de la transformation digitale
Ce cours est délivré avec le soutien financier de la Fondation Patrick & Lina Drahi, ce qui en garantit la qualité et le sérieux
Ce cours aborde les concepts clés liés à la donnée, au management des données et à la gouvernance des données
Ce cours traite également des systèmes d'information décisionnel et de visualisation de données, des outils essentiels pour exploiter les Big Data
Ce cours permet d'obtenir un certificat pour toute note supérieure à 50%, ce qui atteste des compétences acquises

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in La Data Intelligence au service des organisations with these activities:
Organize and review course notes and assignments
Improve retention of course material by regularly reviewing and organizing notes and assignments.
Show steps
  • Set aside time each week to review your notes and assignments
  • Organize your notes and assignments into a logical structure
  • Highlight key concepts and ideas
  • Summarize the key points of each lecture or assignment
Connect with professionals in the field of data science
Expand your professional network and gain valuable insights from experienced professionals.
Show steps
  • Attend industry events and meetups
  • Reach out to professionals on LinkedIn and ask for informational interviews
Review 'Data Science for Business'
Get a head start on understanding of key data science concepts that will be covered in this course.
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  • Read Chapters 1-3
  • Summarize the key concepts in your own words
Six other activities
Expand to see all activities and additional details
Show all nine activities
Complete SQL practice problems
Become more proficient in writing SQL queries, which is essential for data analysis.
Browse courses on SQL
Show steps
  • Find a set of SQL practice problems online or in a textbook
  • Set a timer for 90 minutes
  • Attempt to solve as many problems as possible within the time limit
  • Review your answers and identify areas where you need improvement
Follow a tutorial on data visualization with Python
Gain hands-on experience with data visualization techniques using Python.
Browse courses on Data Visualization
Show steps
  • Find a tutorial on data visualization with Python that covers the basics
  • Follow the tutorial step-by-step
  • Experiment with different data sets and visualizations
Create a data dictionary for a real-world dataset
Develop a deeper understanding of data structures and their importance in data analysis.
Browse courses on Data Management
Show steps
  • Choose a real-world dataset that you are interested in
  • Identify the different variables in the dataset
  • Create a data dictionary that defines each variable, including its name, type, and possible values
  • Write a brief report that describes your data dictionary and how it can be used to improve data analysis
Help other students in the course by answering questions and sharing resources
Reinforce your understanding of the course material and develop your communication skills.
Show steps
  • Participate in discussion forums and answer questions from other students
  • Create study materials and share them with other students
Build a simple data analysis dashboard
Apply your skills in data analysis and visualization to create a practical tool.
Browse courses on Data Visualization
Show steps
  • Choose a dataset that you are interested in
  • Identify the key metrics that you want to track
  • Design a dashboard that visualizes these metrics
  • Implement the dashboard using a tool such as Tableau or Power BI
Build a data-driven model for predicting customer churn
Gain experience with machine learning techniques and their application to real-world problems.
Browse courses on Machine Learning
Show steps
  • Gather a dataset of customer data
  • Preprocess the data and identify the relevant features
  • Train a machine learning model to predict customer churn
  • Evaluate the performance of the model and make adjustments as needed

Career center

Learners who complete La Data Intelligence au service des organisations will develop knowledge and skills that may be useful to these careers:
Chief Data Officer
A Chief Data Officer (CDO) is responsible for overseeing an organization's data strategy and ensuring the effective use of data to drive business outcomes. The course, La Data Intelligence au service des organisations, can be useful for this role as it provides a comprehensive overview of data management, data analytics, and data governance. These concepts are essential for CDOs to understand and lead data-driven initiatives within their organizations.
Data Scientist
A Data Scientist applies statistical and machine learning techniques to extract insights from data and solve complex business problems. The course, La Data Intelligence au service des organisations, can be useful for this role as it provides a foundation in data analysis, data modeling, and artificial intelligence. These concepts are critical for Data Scientists to understand and apply in their work.
Data Architect
A Data Architect designs and implements data management solutions that meet the business needs of an organization. The course, La Data Intelligence au service des organisations, can be useful for this role as it covers topics such as data modeling, data integration, and data warehousing. These concepts are essential for Data Architects to understand and design effective data management architectures.
Business Intelligence Analyst
A Business Intelligence Analyst uses data analysis and visualization techniques to identify trends, patterns, and opportunities within an organization's data. The course, La Data Intelligence au service des organisations, can be useful for this role as it covers topics such as data visualization, data mining, and business intelligence tools. These concepts are essential for Business Intelligence Analysts to effectively communicate insights and support decision-making.
Data Analyst
A Data Analyst organizes, cleans, and interprets data to extract insights and support decision-making within an organization. The course, La Data Intelligence au service des organisations, can be useful for this role as it provides a comprehensive overview of the data lifecycle, data management techniques, and data analysis methodologies. Understanding these concepts can help Data Analysts effectively perform their duties and contribute to data-driven decision-making.
Data Governance Specialist
A Data Governance Specialist develops and implements policies and procedures to ensure the integrity, security, and accessibility of data within an organization. The course, La Data Intelligence au service des organisations, can be useful for this role as it covers topics such as data governance, data stewardship, and data privacy. These concepts are essential for Data Governance Specialists to understand and implement effective data governance frameworks.
Information Security Analyst
An Information Security Analyst is responsible for protecting an organization's information systems and data from unauthorized access, use, disclosure, disruption, modification, or destruction. The course, La Data Intelligence au service des organisations, may be useful for this role as it covers topics such as data security, data encryption, and data breach prevention. These concepts are essential for Information Security Analysts to understand and implement effective security measures.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and infrastructure that enable organizations to collect, store, and process large volumes of data. The course, La Data Intelligence au service des organisations, may be useful for this role as it covers topics such as data modeling, data quality management, and data visualization. These concepts are essential for Data Engineers to understand and implement effective data management solutions.
Data Privacy Officer
A Data Privacy Officer (DPO) is responsible for ensuring that an organization complies with data privacy regulations and protects the privacy of individuals' personal data. The course, La Data Intelligence au service des organisations, may be useful for this role as it covers topics such as data privacy, data protection, and the General Data Protection Regulation (GDPR). These concepts are essential for DPOs to understand and implement effective data privacy programs.
Business Analyst
A Business Analyst analyzes business processes and systems to identify areas for improvement. The course, La Data Intelligence au service des organisations, may be useful for this role as it covers topics such as business process analysis, data modeling, and data analytics. These concepts are essential for Business Analysts to understand and identify opportunities for business improvement.
Database Administrator
A Database Administrator (DBA) is responsible for managing and maintaining an organization's databases. The course, La Data Intelligence au service des organisations, may be useful for this role as it covers topics such as database design, database performance tuning, and database backup and recovery. These concepts are essential for DBAs to understand and manage databases effectively.
Systems Analyst
A Systems Analyst analyzes an organization's business processes and systems to identify areas for improvement. The course, La Data Intelligence au service des organisations, may be useful for this role as it covers topics such as business process analysis, data modeling, and system design. These concepts are essential for Systems Analysts to understand and design effective system solutions.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. The course, La Data Intelligence au service des organisations, may be useful for this role as it covers topics such as software design, software development methodologies, and data structures and algorithms. These concepts are essential for Software Engineers to understand and build effective software solutions.
Product Manager
A Product Manager is responsible for managing the development and launch of new products or services. The course, La Data Intelligence au service des organisations, may be useful for this role as it covers topics such as product management, product development, and data-driven decision-making. These concepts are essential for Product Managers to understand and launch successful products.
Market Researcher
A Market Researcher conducts research to collect and analyze data about consumers, markets, and competitors. The course, La Data Intelligence au service des organisations, may be useful for this role as it covers topics such as market research methods, data analysis, and data visualization. These concepts are essential for Market Researchers to understand and conduct effective market research.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in La Data Intelligence au service des organisations.
Provides a comprehensive overview of data science, including data collection, cleaning, analysis, and visualization. It good resource for learners who want to gain a solid foundation in data science.
Provides a practical guide to machine learning for business users. It covers a wide range of topics, including supervised and unsupervised learning, model selection, and evaluation.
Provides a comprehensive overview of big data analytics, including data collection, storage, processing, and analysis. It good resource for learners who want to gain a solid foundation in big data analytics.
Provides a practical guide to machine learning for programmers. It covers a wide range of topics, including supervised and unsupervised learning, model selection, and evaluation. It good resource for learners who want to learn how to use machine learning to solve real-world problems.
Provides a practical guide to data modeling for business users. It covers a wide range of topics, including data modeling concepts, techniques, and tools. It good resource for learners who want to learn how to create and use data models to improve their business processes.
Provides a comprehensive overview of data visualization, including data visualization techniques, tools, and best practices. It good resource for learners who want to learn how to create effective data visualizations that communicate data insights clearly and concisely.

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