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Jeff Leek, PhD, Brian Caffo, PhD, and Roger D. Peng, PhD

Ce cours d’une semaine décrit le processus d’analyse des données ainsi que la manière de gérer ce processus. Nous décrivons la nature répétitive de l’analyse des données et le rôle de la formulation d’une question précise, l’analyse exploratoire des données, l’inférence, la modélisation statistique formelle, l’interprétation et la communication. De plus, nous décrirons la façon d’orienter les activités analytiques au sein d’une équipe et de conduire le processus d’analyse des données vers des résultats cohérents et utiles.

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Ce cours d’une semaine décrit le processus d’analyse des données ainsi que la manière de gérer ce processus. Nous décrivons la nature répétitive de l’analyse des données et le rôle de la formulation d’une question précise, l’analyse exploratoire des données, l’inférence, la modélisation statistique formelle, l’interprétation et la communication. De plus, nous décrirons la façon d’orienter les activités analytiques au sein d’une équipe et de conduire le processus d’analyse des données vers des résultats cohérents et utiles.

Ce cours est conçu de manière à vous former rapidement au processus de l’analyse des données et à la manière dont il peut être géré. Notre objectif est de faire en sorte que cette formation soit aussi pratique que possible pour vous, sans pour autant sacrifier le contenu essentiel. Nous avons laissé les informations techniques de côté afin que vous puissiez vous concentrer sur l'encadrement et la progression de votre équipe.

Après avoir terminé ce cours, vous saurez comment...

1. Décrire la répétition de base de l’analyse des données

2. Identifier les différents types de questions et les traduire en ensembles de données spécifiques

3. Décrire les différents types d’extraction des données

4. Étudier les ensembles de données afin de déterminer si les données sont appropriées pour une question particulière

5. Orienter les initiatives de construction des modèles dans les analyses des données communes

6. Interpréter les résultats issus des analyses des données communes

7. Intégrer les résultats statistiques afin de créer des présentations d’analyse des données cohérentes

Engagement : 1 semaine de formation, 4 à 6 heures de cours

Image de couverture du cours par fdecomite. Creative Commons BY https://flic.kr/p/4HjmvD

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What's inside

Syllabus

Gestion de l’analyse des données
Bienvenue à la rubrique Gestion de l’analyse des données ! Ce cours est un module conçu pour être suivi en une semaine. Le cours donne de meilleurs résultats si vous suivez les matières dans l’ordre où elles sont présentées. Chaque cours est composé de vidéos et d’ouvrages à lire qui approfondissent le cours. Je suis très heureux de vous accueillir dans le cours et j’attends avec impatience vos contributions à la communauté d’apprentissage. Si vous avez des questions sur le contenu des cours, veuillez les publier sur les forums afin de bénéficier de l’aide des autres membres de la communauté. En cas de problème technique avec la plateforme Coursera, consultez le centre d’aide réservé aux apprenants. Je vous souhaite bonne chance pour vos débuts et j’espère que vous aimerez le cours !

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Le cours couvre les bases de l'analyse des données et guide les étudiants dans le processus
Les instructeurs sont des experts reconnus dans le domaine de l'analyse des données
Le cours est pratique et met l'accent sur l'application des concepts
Le cours est conçu pour les débutants et couvre les bases de l'analyse des données
Le cours est enseigné par des experts reconnus dans leurs domaines
Le cours est pratique et met l'accent sur l'application des concepts

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Reviews summary

Data analytics management course

Two out of three reviewers gave the course five stars and the other gave it four. Reviewers mentioned that they were happy and thanked the instructors for the opportunity to take the course.

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 Gestion de l’analyse des données with these activities:
Review Descriptive Statistics
Reviewing descriptive statistics formulas, vocabulary, and concepts will set you up for success in the course.
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  • Review notes and assignments from previous courses on statistics
  • Practice solving problems involving mean, median, mode, range, variance, and standard deviation
Attend a Data Analysis Workshop
Attend workshops to learn new data analysis techniques and best practices from industry experts.
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Show steps
  • Research data analysis workshops offered by universities, professional organizations, or online platforms
  • Identify workshops that align with your interests and skill level
  • Register and attend the workshop
Analyze Data Sets
Hands-on practice will improve your ability to think critically about data and draw meaningful conclusions.
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Show steps
  • Find a publicly available data set related to a topic of interest
  • Use statistical software to explore the data, identify patterns, and draw conclusions
  • Present your findings
Four other activities
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Participate in Peer Review
Get feedback from peers on your work and provide feedback to others, which will enhance critical thinking and writing skills.
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  • Join a peer review group
  • Submit your work for review
  • Provide constructive feedback to others
Develop an Analysis Plan
This activity will help you plan and execute a comprehensive data analysis project from start to finish.
Show steps
  • Define your research question and objectives
  • Determine the appropriate data analysis methods
  • Collect and prepare the necessary data
  • Conduct the data analysis
  • Interpret and communicate your results
Volunteer for a Research Project
Gain hands-on experience with data analysis and contribute to real-world research.
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Show steps
  • Identify research projects that align with your interests
  • Contact the researchers and express your interest in volunteering
  • Assist with data collection, analysis, or interpretation of results
Contribute to an Open-Source Data Analysis Project
By contributing to open-source projects, you will gain practical experience and connect with a community of data enthusiasts.
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  • Identify open-source data analysis projects that interest you
  • Join the project community and learn about their needs
  • Contribute code, documentation, or other resources

Career center

Learners who complete Gestion de l’analyse des données will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use their knowledge of data analysis to solve business problems. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Business Analyst
Business Analysts use data analysis to help businesses improve their operations. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Operations Research Analyst
Operations Research Analysts use data analysis to help businesses improve their efficiency and effectiveness. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Financial Analyst
Financial Analysts use data analysis to help businesses make informed financial decisions. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Market Researcher
Market Researchers use data analysis to help businesses understand their customers. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Data Engineer
Data Engineers are responsible for building and maintaining the infrastructure that is used to store and process data. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Quantitative Analyst
Quantitative Analysts use data analysis to help businesses make informed financial decisions. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Actuary
Actuaries use data analysis to help businesses manage risk. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Statistician
Statisticians use data analysis to help businesses make informed decisions. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Data Warehouse Architect
Data Warehouse Architects are responsible for designing and building data warehouses. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Computer Scientist
Computer Scientists use data analysis to help businesses develop and maintain computer systems. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Database Designer
Database Designers are responsible for designing and building databases. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.
Software Engineer
Software Engineers use data analysis to help businesses develop and maintain software applications. This course can help you develop the skills you need to succeed in this role by providing you with a strong foundation in data analysis techniques. You will learn how to identify different types of questions and translate them into specific data sets, explore data to determine if it is appropriate for a particular question, and interpret the results of data analysis. This course can help you build the skills you need to be successful in this role.

Reading list

We've selected ten 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 Gestion de l’analyse des données.
Ce livre est un manuel complet sur l'apprentissage statistique. Il couvre des sujets tels que la régression linéaire, la classification et l'apprentissage non supervisé.
Ce livre fournit une introduction complète au processus de la science des données, de la collecte et du nettoyage des données à l'analyse et à la visualisation des données. Il couvre également les impératifs éthiques et les pièges courants de la science des données.
Ce livre est un ouvrage plus avancé sur l'apprentissage statistique que le précédent. Il couvre des sujets tels que les machines à vecteurs de support, les réseaux neuronaux et l'apprentissage par ensembles.
Ce livre est un manuel complet sur l'apprentissage profond. Il couvre des sujets tels que les réseaux de neurones convolutifs, les réseaux récurrents et les machines à vecteurs de support.
Ce livre fournit un guide pratique de la conception et du développement de systèmes de science des données. Il couvre des sujets tels que l'architecture des données, l'ingénierie des données et l'assurance qualité.
Ce livre présente les concepts clés de la science des données dans le contexte des affaires. Il couvre des sujets tels que l'exploration des données, l'apprentissage automatique et la visualisation des données.
Ce livre fournit un guide complet de la science des données à l'aide de Python. Il couvre des sujets tels que l'exploration des données, l'apprentissage automatique et la visualisation des données.
Ce livre fournit un guide complet de la science des données à l'aide de R. Il couvre des sujets tels que l'exploration des données, l'apprentissage automatique et la visualisation des données.

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