À propos de ce cours
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Sous-titres : Anglais

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Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
2 heures pour terminer

Week 1

This is the first week, welcoming you to the course. It establishes the aims of the course, states the basic assumptions, motivates for the use of the Wolfram Language, gives an overview, and describes the process of procuring the software that you will use in the course. All in all, it will provide you with all the information for successfully completing this course and gaining a remarkable new skill, the ability to do statistical analysis using the Wolfram Language.Through watching the video material, you will learn that there are two software products from which you can choose to complete the course and continue to use long after you are done. The first is the absolutely free version, which is software as a service, meaning it runs in any web browser. The second is desktop desktop version. If you work at, or are students at, an institution with a site licence, you will be able to get the software for free. There is also the option to purchase your own licence.

...
14 vidéos (Total 54 min), 8 lectures
14 vidéos
Welcome6 min
The Klopper Research Group1 min
Assumptions1 min
Learning a computer language1 min
Why the Wolfram language?7 min
Getting Mathematica5 min
The new Wolfram Cloud1 min
The Wolfram Cloud1 min
The Wolfram Programming Lab8 min
Free-form input and Wolfram Alpha in the Cloud3 min
Mathematica27s
Free-form input and Wolfram Alpha in the desktop7 min
Help and documentation3 min
Assignment notebooks4 min
8 lectures
How this Course Works10 min
Welcome to Module 110 min
Meet the Course Instructor10 min
Module 1 Notebook10 min
Welcome to Module 210 min
Welcome to Module 310 min
Module 3 Notebook10 min
Module 3 Exercise10 min
Semaine
2
3 heures pour terminer

Week 2

Welcome to week two, which consists of modules/chapters four to six. Now that you know a little bit about the Wolfram Language and its different coding environments, it is time to do some actual coding. The week will start off with module/chapter four, a demonstration of a completed project, though. It is just a little teaser to motivate you to push through and finish the course, by showcasing what you will be able to do at the end. Since statistical tests are all about math (don't worry, this course is not about the math), in module/chapter five we are going to learn to code by doing simple arithmetic. That is addition, subtraction, multiplication, and so on. Once you have realized just how simple these tasks are, you will be introduced to the way in which data is stored in a computer language in module/chapter six. This is the stepping stone required to bringing in your own data, ready for the analyses in weeks three and four.

...
20 vidéos (Total 100 min), 7 lectures, 1 quiz
20 vidéos
Simulated data demonstration - part 11 min
Simulated data demonstration - part 27 min
Simple arithmetic30s
Addition and subtraction5 min
Multiplication and division9 min
Powers5 min
Arithmetical order2 min
Calculating a mean5 min
Working with data40s
Lists part 17 min
Lists part 23 min
Tables7 min
Index10 min
Datasets9 min
Selecting6 min
Dataset functions3 min
Creating lists from datasets2 min
Spreadsheets6 min
Spreadsheets in the cloud4 min
7 lectures
Welcome to Module 410 min
Module 4 Notebook10 min
Welcome to Module 510 min
Module 5 Exercise10 min
Welcome to Module 610 min
Module 6 Notebook10 min
Module 6 Exercise10 min
1 exercice pour s'entraîner
Modules 1 to 5
Semaine
3
3 heures pour terminer

Week 3

Now that you can write some code and import your data, the time has come to start analyzing it, which we will do this week in modules seven to nine. The two most important steps to understand the message hidden in data, is to summarize and visualize it. Descriptive statistics turn rows and columns of data into something that we as humans can understand. By summarizing values and replacing them with single values, we start to get an idea of what our analyses might show.Visualizing the data is an even better way of getting to grips with data. Box-and-whisker plots, scatter plots, bar charts, and the like are wonderful ways to augment your understanding of the data.The Wolfram Language makes summary statistics easy, but is really shines when creating plots. There is almost no limits to customizing plots. No matter what your project requirements, you will learn to create plots that work for you.

...
19 vidéos (Total 102 min), 9 lectures, 1 quiz
19 vidéos
Descriptive statistics49s
Data import for descriptive statistics5 min
Creating lists for descriptive statistics8 min
Point estimates10 min
Measures of dispersion6 min
Data Visualization39s
Data import for visualization2 min
Scatter plots10 min
Box plots3 min
Histograms5 min
Bar and pie charts6 min
Distributions1 min
Probability8 min
PDF and CDF3 min
Discrete distributions7 min
Continuous distributions6 min
Sampling distributions6 min
Simulated data6 min
9 lectures
Welcome to Module 710 min
Module 7 Notebook10 min
Module 7 Exercise10 min
Welcome to Module 810 min
Module 8 Notebook10 min
Module 8 Exercise10 min
Welcome to Module 910 min
Module 9 Notebook10 min
Module 9 Exercise10 min
1 exercice pour s'entraîner
Modules 6 to 9
Semaine
4
3 heures pour terminer

Week 4

This is the week that you have been waiting for, the final week which covers modules ten to thirteen. From Student's t test to analysis of variance to chi-squared tests. All the common tests are here.The week culminates in running through the demonstration research project that you saw at the beginning of week two. It brings together all the skills that you have acquired during the course.Not content with just working through the demonstration project, you will also have the opportunity to create your own computational essay, given a dataset that you can download.

...
17 vidéos (Total 68 min), 12 lectures, 2 quiz
17 vidéos
Linear regression36s
Importing data4 min
Descriptive statistics and visualization3 min
Linear model5 min
Comparing means17s
Data import3 min
Comparing two means8 min
Comparing more than two means7 min
Comparing categorical variables21s
Contingency tables7 min
Chi-squared test3 min
Creating a Computational Essay47s
Data import7 min
Main research question6 min
Secondary research questions7 min
The end20s
12 lectures
Welcome to Module 1010 min
Module 10 Notebook10 min
Module 10 Exercise10 min
Welcome to Module 1110 min
Module 11 Notebook10 min
Module 11 Exercise10 min
Welcome to Module 1210 min
Module 12 Notebook10 min
Module 12 Exercise10 min
Welcome to Module 1310 min
Module 13 Notebook10 min
Final Exam Instructions10 min
2 exercices pour s'entraîner
Modules 10 to 13
Final

Enseignant

Avatar

Juan H Klopper

Dr
Department of Surgery

À propos de Université du Cap

The University of Cape Town is the oldest university in South Africa and is one of the leading research universities on the African continent. UCT has over 25 000 students, of whom 30% are postgraduate students. We offer degrees in six faculties: Commerce, Engineering & the Built Environment, Health Sciences, Humanities, Law, and Science. We pride ourself on our diverse student body, which reflects the many cultures and backgrounds of the region. We welcome international students and are currently home to thousands of international students from over 100 countries. UCT has a tradition of academic excellence that is respected world-wide and is privileged to have more than 30 A-rated researchers on our staff, all of whom are recognised as world leaders in their field. Our aim is to ensure that our research contributes to the public good through sharing knowledge for the benefit of society. Past students include five Nobel Laureates – Max Theiler, Alan Cormack, Sir Aaron Klug, Ralph Bunche and, most recently, J M Coetzee....

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous achetez un Certificat, vous bénéficiez d'un accès à tout le contenu du cours, y compris les devoirs notés. Lorsque vous avez terminé et réussi le cours, votre Certificat électronique est ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

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