Cours intensif sur la science des données from Coursera

Vous avez sûrement déjà entendu parler de la science des données et du Big Data. Ce cours intensif d’une semaine vous permettra de comprendre ce que ces termes signifient et comment ils jouent un rôle dans les entreprises prospères. Ce cours intensif s’adresse à tous ceux qui souhaitent découvrir en quoi consiste la science des données, y compris ceux qui devront éventuellement encadrer des scientifiques des données. L’objectif est de vous familiariser avec la science des données le plus rapidement possible et de ne pas s’encombrer du superflu. Nous avons conçu ce cours afin qu’il soit aussi pratique que possible, sans pour autant sacrifier les éléments essentiels.

Il s'agit d’un cours ciblé conçue pour vous familiariser rapidement avec le domaine de la science des données. 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.

1. Décrire le rôle joué par la science des données dans différents contextes

2. Comment les statistiques, l’apprentissage automatique et le génie logiciel jouent un rôle dans la science des données

3. Comment décrire la structure d’un projet de science des données

4. Les termes et outils clés utilisés par les scientifiques des données

5. Comment identifier si un projet de science des données est réussi ou non

3. Le rôle d’un manager en science des données

Image de couverture du cours par r2hox. Creative Commons BY-SA : https://flic.kr/p/gdMuhT

What's inside

Syllabus

Cours intensif sur la science des données

Ce cours en un module constitue la première « semaine » de votre Spécialisation en Gestion des Sciences des Données. Il s’agit d’une introduction intensive à tout ce que vous devez savoir sur la science des données elle-même. Vous apprendrez la terminologie importante et comment les organisations prospères utilisent la science des données.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Une introduction complète à la science des données conçue pour les débutants

Conçu pour aider les gestionnaires à encadrer et guider les équipes de science des données

Enseigné par des instructeurs réputés dans le domaine de la science des données

couvre les principes fondamentaux de la science des données, des statistiques à l'apprentissage automatique

Fournit une compréhension pratique des projets de science des données, de leur structure à leur évaluation

Ce cours d'introduction fait partie d'une spécialisation plus large en gestion des sciences des données, offrant un parcours d'apprentissage plus approfondi

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 Cours intensif sur la science des données with these activities:

Review basic statistics

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Review the basics of statistics, including concepts like descriptive statistics, probability, and hypothesis testing.

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Review your notes or textbook from a previous statistics course.
Take practice quizzes or problems to test your understanding.

Practice writing SQL queries

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Review SQL syntax and practice writing queries to retrieve and manipulate data from a database.

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Review your notes or textbook from a previous SQL course.
Take practice quizzes or problems to test your understanding.

Follow tutorials on data science tools

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Watch tutorials or complete hands-on exercises to learn how to use essential data science tools like Python, R, and Tableau.

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Identify the data science tools that you want to learn.
Find online tutorials or courses that cover these tools.
Follow the tutorials step-by-step and complete the exercises.

Four other activities

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Join a data science study group

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Collaborate with other students to discuss data science concepts, work on projects, and prepare for exams.

Browse courses on Data Science

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Find a data science study group or create your own.
Meet regularly with your study group to discuss course material and work on projects.

Contribute to an open-source data science project

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Gain practical experience and contribute to the data science community by participating in an open-source project.

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Find an open-source data science project that you're interested in.
Review the project's documentation and code.
Identify a way to contribute to the project.
Submit a pull request with your contribution.

Write a blog post about a data science concept

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Choose a data science concept that you're interested in and write a blog post explaining it in detail.

Browse courses on Data Science

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Choose a data science concept that you're familiar with.
Do some research to gather information about the concept.
Write a blog post explaining the concept in a clear and concise way.

Build a data science portfolio

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Showcase your data science skills by building a portfolio of projects that demonstrate your abilities.

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Identify a data science problem that you want to solve.
Collect and clean the data.
Analyze the data.
Build a model.
Deploy the model.

Career center

Learners who complete Cours intensif sur la science des données will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist builds, deploys, and manages machine learning and deep learning models in order to extract insights and uncover patterns from data. A strong grasp of statistics is essential to working as a Data Scientist, as is experience in programming. This course, Cours intensif sur la science des données, provides a solid foundation in statistics, programming for Data Science, and machine learning that is necessary for the role of Data Scientist.

See salaries and explore the career path for Data Scientist

Data Scientist Manager

Data Scientist Managers oversee teams of Data Scientists and are responsible for planning, organizing, and directing data science projects. This course, Cours intensif sur la science des données, provides a solid foundation for Data Scientist Managers, providing them with the knowledge and skills they need to lead and manage data science teams.

See salaries and explore the career path for Data Scientist Manager

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, and deploying machine learning platforms. This course, Cours intensif sur la science des données, provides a solid foundation in statistics, programming for Data Science, and machine learning that can help aspiring Machine Learning Engineers prepare for a career in the field.

See salaries and explore the career path for Machine Learning Engineer

Director of Data Science

Directors of Data Science are responsible for leading an organization's data science initiatives. They work with stakeholders to identify and prioritize data science projects, develop and implement data science strategies, and manage data science teams. This course, Cours intensif sur la science des données, provides Directors of Data Science with the skills and knowledge they need to lead and manage data science initiatives.

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Data Engineering Manager

Data Engineering Managers oversee teams of Data Engineers and are responsible for planning, organizing, and directing data engineering projects. This course, Cours intensif sur la science des données, provides a solid foundation for Data Engineering Managers, providing them with the knowledge and skills they need to lead and manage data engineering teams.

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Data Analyst

Data Analysts collect, clean, and analyze data to solve business problems and create actionable insights. This course, Cours intensif sur la science des données, can help aspiring Data Analysts build a foundation in statistics, programming for Data Science, and machine learning that is relevant to a career in the field.

See salaries and explore the career path for Data Analyst

Machine Learning Manager

Machine Learning Managers oversee teams of Machine Learning Engineers and are responsible for planning, organizing, and directing machine learning projects. This course, Cours intensif sur la science des données, provides a solid foundation for Machine Learning Managers, providing them with the knowledge and skills they need to lead and manage machine learning teams.

See salaries and explore the career path for Machine Learning Manager

Data Architect

Data Architects design and implement data management systems. They work with stakeholders to understand data requirements, and then design and build systems to store, process, and analyze data. This course, Cours intensif sur la science des données, can help individuals understand the principles of data management and prepare for a career as a Data Architect.

See salaries and explore the career path for Data Architect

Director of Machine Learning

Directors of Machine Learning are responsible for leading an organization's machine learning initiatives. They work with stakeholders to identify and prioritize machine learning projects, develop and implement machine learning strategies, and manage machine learning teams. This course, Cours intensif sur la science des données, provides Directors of Machine Learning with the skills and knowledge they need to lead and manage machine learning initiatives.

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Statistician

Statisticians collect, analyze, interpret, and present statistical data. They use their skills to solve problems in a variety of fields, including healthcare, finance, and marketing. This course, Cours intensif sur la science des données, provides a refresher for individuals looking to apply statistical techniques across a range of disciplines.

See salaries and explore the career path for Statistician

Data Governance Manager

Data Governance Managers are responsible for developing and implementing policies and procedures to ensure that data is managed in a consistent and compliant manner. This course, Cours intensif sur la science des données, provides an overview of data governance best practices and may be useful for individuals who aspire to become Data Governance Managers.

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Business Analyst

Business Analysts are responsible for analyzing an organization's business processes and systems. They identify areas for improvement, gather requirements from stakeholders, and design and implement solutions. This course, Cours intensif sur la science des données, may be useful for Business Analysts who wish to incorporate data analysis techniques into their work.

See salaries and explore the career path for Business Analyst

Data Privacy Officer

Data Privacy Officers are responsible for protecting an organization's data from unauthorized access, use, or disclosure. This course, Cours intensif sur la science des données, provides an overview of data privacy regulations and best practices, and may be useful for individuals who aspire to become Data Privacy Officers.

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Chief Data Officer

Chief Data Officers are responsible for overseeing an organization's data strategy. They work with stakeholders to identify and prioritize data initiatives, and then develop and implement plans to achieve those goals. This course, Cours intensif sur la science des données, may be useful for individuals who aspire to become Chief Data Officers.

See salaries and explore the career path for Chief Data Officer

Software Engineer

Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages and software engineering principles to create innovative solutions to business problems. This course, Cours intensif sur la science des données, may be useful for Software Engineers who wish to learn more about using data science in software development.

See salaries and explore the career path for Software Engineer