Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.
Apprenez de nouveaux concepts auprès d'experts du secteur
Acquérez une compréhension de base d'un sujet ou d'un outil
Développez des compétences professionnelles avec des projets pratiques
Obtenez un certificat professionnel partageable
Il y a 4 modules dans ce cours
How to Describe Data examines the use of data in our everyday lives, giving you the ability to assess the usefulness and relevance of the information you encounter. In this course, learn about uncertainty’s role in measurements and how you can develop a critical eye toward evaluating statistical information in places like headlines, advertisements, and research. You’ll learn the fundamentals of discussing, evaluating, and presenting a wide range of data sets, as well as how data helps us make sense of the world. This is a broad overview of statistics and is designed for those with no previous experience in data analysis. With this course, you’ll be able to spot potentially misleading statistics and better interpret claims about data you encounter in the world. Course assessments focus on your understanding of concepts rather than solving math problems.
This is the first course in Understanding Data: Navigating Statistics, Science, and AI Specialization, where you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.
Inclus
8 vidéos5 lectures1 devoir2 sujets de discussion
Afficher les informations sur le contenu du module
8 vidéos•Total 46 minutes
Welcome to Understanding Data: Navigating Statistics, Science, and AI•4 minutes
How Things Become Statistics•9 minutes
Learning From Data•5 minutes
Why We Measure Means and Medians•6 minutes
Reading a Histogram•3 minutes
Mean or Median: What Do You Mean?•6 minutes
Variability Is Healthy•6 minutes
Making Comparisons With Data•7 minutes
5 lectures•Total 29 minutes
Meet Your Instructor•3 minutes
Course Syllabus •10 minutes
Help Us Learn About You •10 minutes
Module 1 Suggested Readings•5 minutes
Module 1 Bibliography•1 minute
1 devoir•Total 60 minutes
Module 1 Ungraded Quiz•60 minutes
2 sujets de discussion•Total 20 minutes
Meet Your Fellow Global Learners•10 minutes
Talk about a statistic you saw. Was it useful?•10 minutes
Rethinking Certainty
Module 2•2 heures à terminer
Détails du module
Inclus
6 vidéos2 lectures1 devoir1 sujet de discussion
Afficher les informations sur le contenu du module
6 vidéos•Total 44 minutes
Introduction to Module 2: Developing Intuition About Uncertainty•2 minutes
Noisy Scales•8 minutes
Conducting a Poll•7 minutes
Our Noisy World•9 minutes
How Should We Live With Noise?•10 minutes
Validity (What Are We Measuring, Anyway?)•9 minutes
2 lectures•Total 6 minutes
Module 2 Suggested Readings•5 minutes
Module 2 Bibliography•1 minute
1 devoir•Total 60 minutes
Module 2 Ungraded Quiz•60 minutes
1 sujet de discussion•Total 10 minutes
Talk about a statistic you saw. How was uncertainty communicated?•10 minutes
Talking about Numbers
Module 3•2 heures à terminer
Détails du module
Inclus
7 vidéos2 lectures1 devoir1 sujet de discussion
Afficher les informations sur le contenu du module
7 vidéos•Total 54 minutes
Introduction to Module 3: Numbers in Storytelling•2 minutes
Units, Scales, and Estimates•10 minutes
Making Sense of Big and Small Numbers•6 minutes
Relative and Absolute Numbers•7 minutes
Zombie Statistics•10 minutes
The Illusion of Sciencey-ness•9 minutes
Strengths and Weaknesses in Data Visualization•11 minutes
2 lectures•Total 6 minutes
Module 3 Suggested Readings•5 minutes
Week 3 Bibliography•1 minute
1 devoir•Total 30 minutes
Module 3 Ungraded Quiz•30 minutes
1 sujet de discussion•Total 10 minutes
Talk about a statistic. What is the claim? What else do you need to know?•10 minutes
Statistics, Skepticism and Trust
Module 4•3 heures à terminer
Détails du module
Inclus
7 vidéos3 lectures2 devoirs1 sujet de discussion
Afficher les informations sur le contenu du module
7 vidéos•Total 59 minutes
Introduction to Module 4: Should You Trust Statistics?•1 minute
But Why?•11 minutes
Summaries Reduce Information•8 minutes
Interrogating a Statistic•11 minutes
Style, Authority and Trust•13 minutes
Being a Good Steward of Your Information Ecosystem•7 minutes
Course 1 Recap: How to Describe Data•7 minutes
3 lectures•Total 16 minutes
Module 4 Suggested Readings•5 minutes
Module 4 Bibiliography•1 minute
Post-Course Survey•10 minutes
2 devoirs•Total 90 minutes
Module 4 Ungraded Quiz•30 minutes
Comprehensive Course Graded Test•60 minutes
1 sujet de discussion•Total 10 minutes
Reflect and Respond to a News Story•10 minutes
Obtenez un certificat professionnel
Ajoutez ce titre à votre profil LinkedIn, à votre curriculum vitae ou à votre CV. Partagez-le sur les médias sociaux et dans votre évaluation des performances.
Instructeur
Évaluations de l’enseignant
Évaluations de l’enseignant
Nous avons demandé à tous les étudiants de fournir des commentaires sur nos enseignants au sujet de la qualité de leur pédagogie.
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?
Felipe M.
Étudiant(e) depuis 2018
’Pouvoir suivre des cours à mon rythme à été une expérience extraordinaire. Je peux apprendre chaque fois que mon emploi du temps me le permet et en fonction de mon humeur.’
Jennifer J.
Étudiant(e) depuis 2020
’J'ai directement appliqué les concepts et les compétences que j'ai appris de mes cours à un nouveau projet passionnant au travail.’
Larry W.
Étudiant(e) depuis 2021
’Lorsque j'ai besoin de cours sur des sujets que mon université ne propose pas, Coursera est l'un des meilleurs endroits où se rendre.’
Chaitanya A.
’Apprendre, ce n'est pas seulement s'améliorer dans son travail : c'est bien plus que cela. Coursera me permet d'apprendre sans limites.’
Avis des étudiants
4.7
27 avis
5 stars
81,48 %
4 stars
14,81 %
3 stars
0 %
2 stars
0 %
1 star
3,70 %
Affichage de 3 sur 27
A
AL
4·
Révisé le 31 juil. 2025
The statistics covered in this is pretty basic, which everyone should know.
L
LH
5·
Révisé le 29 juin 2024
It's a gift to have such exciting and in-depth content made available here. Thank you very much for this great course.
A
AM
5·
Révisé le 29 avr. 2025
Excellent course! The instructor teaches very well.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.