Exploration et production de données pour les entreprises from Coursera

Ce cours fournit un cadre analytique afin de vous aider à évaluer les problèmes clés de manière structurée. Il vous procurera également des outils afin de mieux gérer les incertitudes qui envahissent et compliquent les processus des entreprises. Plus précisément, vous serez initié(e) aux statistiques et à la manière de résumer les données. Vous découvrirez les concepts de fréquence, de loi normale, d’études statistiques, de l’échantillonnage et des intervalles de confiance.

Tout en vous initiant à la science de ce qui est enseigné, nous nous concentrerons sur l’application des méthodologies. À cette fin, nous utiliserons Excel et des ensembles de données provenant de nombreuses disciplines différentes, ce qui vous permettra de découvrir l’utilisation des statistiques dans des contextes très diversifiés. Le cours se concentrera non seulement sur l’explication de ces concepts, mais également sur la compréhension de la signification des résultats obtenus.

Au terme de ce cours, vous serez en mesure :

• de résumer de grands ensembles de données sous forme de graphiques, tableaux et chiffres.

• de comprendre l’importance d’un échantillonnage adapté et pourquoi vous pouvez vous fonder sur les informations contenues dans les échantillons.

• de comprendre pourquoi la loi normale peut être utilisée dans un si grand nombre de contextes.

• d’utiliser les informations issues de l’échantillon afin de déduire des informations sur la population avec un certain niveau de confiance quant à l’exactitude des estimations.

• d’utiliser Excel pour l’analyse statistique.

Ce cours est intégré au iMBA proposé par l’Université de l’Illinois, un MBA en ligne flexible et entièrement agréé à un prix incroyablement compétitif. Pour obtenir de plus amples informations, veuillez consulter la page Ressources de ce cours ainsi que le site onlinemba.illinois.edu.

What's inside

Syllabus

Parcours d’intégration au cours

Vous vous familiariserez avec le cours, vos camarades de classe et notre environnement d’apprentissage. Le parcours d’intégration vous aidera également à acquérir les compétences techniques requises pour le cours.

Module 1 : Introduction et synthèse des données

Les données sont partout autour de vous, mais que vous disent-elles ? La première étape consiste à bien comprendre les informations que vous avez recueillies afin de prendre de meilleures décisions et de mieux agir. Dans ce module, nous découvrirons quelques-uns des outils statistiques qui nous aident à atteindre cet objectif.

Module 2 : Statistiques descriptives et lois de probabilités

Nous avons tous entendu l’expression « une image vaut mille mots », mais vous ne voulez certainement pas que l’une de ces expressions soit « qu’est-ce que je regarde exactement ? » Maintenant que vous savez utiliser des « images » afin de résumer vos données, rendons-les plus simples à comprendre.

Module 3 : Échantillonnage et théorème de la limite centrale

Vous êtes chargé(e) d’analyser un segment de marché pour votre entreprise. Vous et votre équipe avez défini les variables que vous devez comprendre. Vous avez également une idée des facteurs qui pourraient influencer ces variables d’intérêt. Vous êtes maintenant prêt(e) à faire votre analyse. Mais, attendez ! Où sont les données ? Comment commencez-vous à obtenir les données ? Dans ce module, nous réviserons les moyens par lesquels vous pouvez commencer à produire des données (les concepts d’échantillonnage et le théorème de la limite centrale). Nous vous aiderons également à comprendre de quelle manière produire de « bonnes »données d’échantillon, ainsi que les raisons pour lesquelles les données d'échantillon fonctionneront.

Module 4 : Inférence

Vous possédez un échantillon de données et vous avez effectué l’analyse. Vous estimez pouvoir tirer des informations sur la population en vous fondant sur l’étude de votre échantillon. Mais connaissez-vous vos chances de ne pas vous tromper ? Comment pouvez-vous être plus sûr(e) ? Qu’auriez-vous dû également prendre en considération ? Dans ce module, vous découvrirez comment trouver les réponses à ces questions.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Ce cours s'adresse aux professionnels qui cherchent à améliorer leurs compétences statistiques pour la prise de décision

Le cours est dispensé par des instructeurs expérimentés en statistiques, ce qui garantit la qualité de l'enseignement

Le cours aborde les concepts fondamentaux de la statistique, tels que les probabilités, l'inférence et l'échantillonnage

Les participants apprendront à utiliser Excel pour l'analyse statistique, ce qui est un outil précieux pour les professionnels

Ce cours fait partie de l'iMBA de l'Université de l'Illinois, ce qui en fait une opportunité pour les participants de compléter un diplôme reconnu

Ce cours nécessite une connaissance préalable des statistiques, ce qui peut être un obstacle pour les participants qui n'ont pas de formation dans ce domaine

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 Exploration et production de données pour les entreprises with these activities:

Organize and summarize course materials

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Improve your comprehension and retention of course materials by creating a structured and organized summary of key concepts, notes, and resources.

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Review your lecture notes and textbook.
Identify the main concepts and ideas.
Summarize the information in a concise and organized manner.

Follow online tutorials on statistical software

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Enhance your proficiency in statistical software by following structured tutorials, expanding your technical skills and confidence in data analysis.

Browse courses on Statistical Software

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Identify the software you want to learn.
Find a reputable online tutorial platform or course.
Follow the tutorials step-by-step.

Review data visualization techniques

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Review the basics of data visualization to strengthen your foundation and improve your ability to understand and interpret data in the course.

Browse courses on Data Visualization

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Read a book or article on data visualization techniques.
Watch tutorials or videos on data visualization.
Practice creating visualizations using a data visualization tool.

Four other activities

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Find a mentor in the field of statistics

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Connect with a professional in the field of statistics to gain insights, guidance, and support in your learning journey.

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Attend industry events or conferences.
Reach out to professionals on LinkedIn.
Ask your professors or classmates for recommendations.

Solve statistical problems

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Regularly practice solving statistical problems to enhance your understanding of statistical concepts and improve your problem-solving skills.

Browse courses on Statistical Inference

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Review your lecture notes and textbook.
Work through practice problems at the end of each chapter.
Use online resources, such as Khan Academy or Coursera, for additional practice.

Participate in online discussion forums

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Engage in discussions with peers and experts to clarify concepts, exchange ideas, and strengthen your understanding of statistical methods.

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Join online discussion forums related to statistics.
Read through existing discussions.
Ask questions and share your insights.

Create a data analysis project

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Apply the statistical techniques learned in the course to a real-world dataset, deepening your understanding of data analysis and problem-solving.

Browse courses on Data Analysis

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Choose a dataset that interests you.
Explore the data and identify patterns.
Develop a statistical model to explain the data.
Present your findings in a report or presentation.

Career center

Learners who complete Exploration et production de données pour les entreprises will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist works with large, complex datasets to gather, analyze, and discover patterns and insights that can inform decision-making. To succeed as a Data Scientist, you must first gain an understanding of how to process and interpret data. This course provides a framework for evaluating key problems in a structured way and will help you better manage the uncertainties that pervade and complicate business processes. It will introduce you to statistics and how to summarize data, and you will learn about frequency, the normal distribution, statistical studies, sampling, and confidence intervals.

See salaries and explore the career path for Data Scientist

Business Analyst

A Business Analyst solves problems, develops strategic recommendations, and optimizes operations for businesses. As a Business Analyst, you need to be able to capture and analyze all relevant business information to provide strategic recommendations. This course will help you build a strong foundation in statistics and probability, which are essential for analyzing data and making sound decisions.

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Market Researcher

A Market Researcher gathers, analyzes, and interprets marketing data to understand consumer behavior and trends. To be успешным as a Market Researcher, you need to be able to collect and analyze large amounts of data. This course will teach you the basics of statistics and probability, which are essential for understanding and analyzing data. It will also introduce you to some of the most common statistical methods used in market research.

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Financial Analyst

A Financial Analyst evaluates and recommends investments for individuals and organizations. To succeed as a Financial Analyst, you need to be able to analyze financial data and make sound investment decisions. This course will help you build a foundation in statistics and probability, which are essential for analyzing financial data. It will also introduce you to some of the most common statistical methods used in financial analysis.

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Operations Research Analyst

An Operations Research Analyst uses mathematical and analytical techniques to solve complex problems in business and industry. To succeed as an Operations Research Analyst, you need to be able to analyze data and develop mathematical models. This course will help you build a foundation in statistics and probability, which are essential for analyzing data and building mathematical models.

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Data Analyst

A Data Analyst collects, processes, and analyzes data to help businesses make better decisions. To succeed as a Data Analyst, you need to be able to understand and analyze data. This course will provide you with a strong foundation in statistics and probability, which are essential for understanding and analyzing data.

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Statistician

A Statistician collects, analyzes, interprets, and presents data. To succeed as a Statistician, you need to have a strong foundation in statistics and probability. This course will provide you with a comprehensive overview of statistics and probability, and it will help you develop the skills you need to succeed in this field.

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Software Engineer

A Software Engineer designs, develops, and maintains software systems. To succeed as a Software Engineer, you need to be able to understand and analyze data. This course will provide you with a foundation in statistics and probability, which are essential for understanding and analyzing data.

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Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical techniques to analyze financial data and make investment decisions. To succeed as a Quantitative Analyst, you need to have a strong foundation in statistics and probability. This course will provide you with a comprehensive overview of statistics and probability, and it will help you develop the skills you need to succeed in this field.

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Actuary

An Actuary uses mathematical and statistical techniques to assess risk and uncertainty. To succeed as an Actuary, you need to have a strong foundation in statistics and probability. This course will provide you with a comprehensive overview of statistics and probability, and it will help you develop the skills you need to succeed in this field.

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Risk Analyst

A Risk Analyst evaluates and manages risks for businesses and organizations. To succeed as a Risk Analyst, you need to be able to understand and analyze data. This course will provide you with a foundation in statistics and probability, which are essential for understanding and analyzing data.

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Auditor

An Auditor examines and evaluates financial records to ensure accuracy and compliance. To succeed as an Auditor, you need to be able to understand and analyze data. This course will provide you with a foundation in statistics and probability, which are essential for understanding and analyzing data.

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Tax Analyst

A Tax Analyst prepares and analyzes tax returns for individuals and businesses. To succeed as a Tax Analyst, you need to be able to understand and analyze data. This course will provide you with a foundation in statistics and probability, which are essential for understanding and analyzing data.

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Insurance Analyst

An Insurance Analyst evaluates and manages risks for insurance companies. To succeed as an Insurance Analyst, you need to be able to understand and analyze data. This course will provide you with a foundation in statistics and probability, which are essential for understanding and analyzing data.

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Healthcare Analyst

A Healthcare Analyst analyzes healthcare data to improve patient care and outcomes. To succeed as a Healthcare Analyst, you need to be able to understand and analyze data. This course will provide you with a foundation in statistics and probability, which are essential for understanding and analyzing data.

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