La Data Intelligence au service des organisations from Coursera

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.

What's inside

Syllabus

Introduction

Place de la donnée dans la transformation digitale

Transformation digitale pour capitaliser sur les données

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

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

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Improve retention of course material by regularly reviewing and organizing notes and assignments.

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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

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Expand your professional network and gain valuable insights from experienced professionals.

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Attend industry events and meetups
Reach out to professionals on LinkedIn and ask for informational interviews

Review 'Data Science for Business'

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Get a head start on understanding of key data science concepts that will be covered in this course.

View Data science pour l'entreprise on Amazon

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Read Chapters 1-3
Summarize the key concepts in your own words

Six other activities

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Complete SQL practice problems

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Become more proficient in writing SQL queries, which is essential for data analysis.

Browse courses on SQL

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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

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Gain hands-on experience with data visualization techniques using Python.

Browse courses on Data Visualization

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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

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Develop a deeper understanding of data structures and their importance in data analysis.

Browse courses on Data Management

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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

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Reinforce your understanding of the course material and develop your communication skills.

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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

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Apply your skills in data analysis and visualization to create a practical tool.

Browse courses on Data Visualization

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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

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Gain experience with machine learning techniques and their application to real-world problems.

Browse courses on Machine Learning

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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.

See salaries and explore the career path for Chief Data Officer

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Business Intelligence Analyst

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Data Governance Specialist

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.

See salaries and explore the career path for Information Security Analyst

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Data Privacy Officer

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Systems Analyst

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Market Researcher

La Data Intelligence au service des organisations

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