Об этом курсе
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Английский

Субтитры: Английский

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Прибл. 17 часа на выполнение

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Английский

Субтитры: Английский

Программа курса: что вы изучите

Неделя
1
2 ч. на завершение

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.

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14 видео ((всего 54 мин.)), 8 материалов для самостоятельного изучения
14 видео
Welcome6мин
The Klopper Research Group1мин
Assumptions1мин
Learning a computer language1мин
Why the Wolfram language?7мин
Getting Mathematica5мин
The new Wolfram Cloud1мин
The Wolfram Cloud1мин
The Wolfram Programming Lab8мин
Free-form input and Wolfram Alpha in the Cloud3мин
Mathematica27
Free-form input and Wolfram Alpha in the desktop7мин
Help and documentation3мин
Assignment notebooks4мин
8 материала для самостоятельного изучения
How this Course Works10мин
Welcome to Module 110мин
Meet the Course Instructor10мин
Module 1 Notebook10мин
Welcome to Module 210мин
Welcome to Module 310мин
Module 3 Notebook10мин
Module 3 Exercise10мин
Неделя
2
3 ч. на завершение

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.

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20 видео ((всего 100 мин.)), 7 материалов для самостоятельного изучения, 1 тест
20 видео
Simulated data demonstration - part 11мин
Simulated data demonstration - part 27мин
Simple arithmetic30
Addition and subtraction5мин
Multiplication and division9мин
Powers5мин
Arithmetical order2мин
Calculating a mean5мин
Working with data40
Lists part 17мин
Lists part 23мин
Tables7мин
Index10мин
Datasets9мин
Selecting6мин
Dataset functions3мин
Creating lists from datasets2мин
Spreadsheets6мин
Spreadsheets in the cloud4мин
7 материала для самостоятельного изучения
Welcome to Module 410мин
Module 4 Notebook10мин
Welcome to Module 510мин
Module 5 Exercise10мин
Welcome to Module 610мин
Module 6 Notebook10мин
Module 6 Exercise10мин
1 практическое упражнение
Modules 1 to 5
Неделя
3
3 ч. на завершение

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.

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19 видео ((всего 102 мин.)), 9 материалов для самостоятельного изучения, 1 тест
19 видео
Descriptive statistics49
Data import for descriptive statistics5мин
Creating lists for descriptive statistics8мин
Point estimates10мин
Measures of dispersion6мин
Data Visualization39
Data import for visualization2мин
Scatter plots10мин
Box plots3мин
Histograms5мин
Bar and pie charts6мин
Distributions1мин
Probability8мин
PDF and CDF3мин
Discrete distributions7мин
Continuous distributions6мин
Sampling distributions6мин
Simulated data6мин
9 материала для самостоятельного изучения
Welcome to Module 710мин
Module 7 Notebook10мин
Module 7 Exercise10мин
Welcome to Module 810мин
Module 8 Notebook10мин
Module 8 Exercise10мин
Welcome to Module 910мин
Module 9 Notebook10мин
Module 9 Exercise10мин
1 практическое упражнение
Modules 6 to 9
Неделя
4
3 ч. на завершение

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.

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17 видео ((всего 68 мин.)), 12 материалов для самостоятельного изучения, 2 тестов
17 видео
Linear regression36
Importing data4мин
Descriptive statistics and visualization3мин
Linear model5мин
Comparing means17
Data import3мин
Comparing two means8мин
Comparing more than two means7мин
Comparing categorical variables21
Contingency tables7мин
Chi-squared test3мин
Creating a Computational Essay47
Data import7мин
Main research question6мин
Secondary research questions7мин
The end20
12 материала для самостоятельного изучения
Welcome to Module 1010мин
Module 10 Notebook10мин
Module 10 Exercise10мин
Welcome to Module 1110мин
Module 11 Notebook10мин
Module 11 Exercise10мин
Welcome to Module 1210мин
Module 12 Notebook10мин
Module 12 Exercise10мин
Welcome to Module 1310мин
Module 13 Notebook10мин
Final Exam Instructions10мин
2 практического упражнения
Modules 10 to 13
Final

Преподаватели

Avatar

Juan H Klopper

Dr
Department of Surgery

О Кейптаунский университет

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....

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  • Зарегистрировавшись на сертификацию, вы получите доступ ко всем видео, тестам и заданиям по программированию (если они предусмотрены). Задания по взаимной оценке сокурсниками можно сдавать и проверять только после начала сессии. Если вы проходите курс без оплаты, некоторые задания могут быть недоступны.

  • Оплатив сертификацию, вы получите доступ ко всем материалам курса, включая оцениваемые задания. После успешного прохождения курса на странице ваших достижений появится электронный сертификат. Оттуда его можно распечатать или прикрепить к профилю LinkedIn. Просто ознакомиться с содержанием курса можно бесплатно.

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