课程信息

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初级

完成时间大约为17 小时

建议:Four weeks of study, at approximately five hours per week....

英语(English)

字幕:英语(English)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为17 小时

建议:Four weeks of study, at approximately five hours per week....

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 2 小时

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....
13 个视频 (总计 53 分钟), 8 个阅读材料
13 个视频
Welcome6分钟
The Klopper Research Group1分钟
Assumptions1分钟
Learning a computer language1分钟
Why the Wolfram language?7分钟
Getting Mathematica5分钟
The Wolfram Cloud1分钟
The Wolfram Programming Lab8分钟
Free-form input and Wolfram Alpha in the Cloud3分钟
Mathematica27
Free-form input and Wolfram Alpha in the desktop7分钟
Help and documentation3分钟
Assignment notebooks4分钟
8 个阅读材料
How this Course Works10分钟
Welcome to Module 110分钟
Meet the Course Instructor10分钟
Module 1 Notebook10分钟
Welcome to Module 210分钟
Welcome to Module 310分钟
Module 3 Notebook10分钟
Module 3 Exercise10分钟
2
完成时间为 3 小时

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 个视频 (总计 100 分钟), 7 个阅读材料, 1 个测验
20 个视频
Simulated data demonstration - part 11分钟
Simulated data demonstration - part 27分钟
Simple arithmetic30
Addition and subtraction5分钟
Multiplication and division9分钟
Powers5分钟
Arithmetical order2分钟
Calculating a mean5分钟
Working with data40
Lists part 17分钟
Lists part 23分钟
Tables7分钟
Index10分钟
Datasets9分钟
Selecting6分钟
Dataset functions3分钟
Creating lists from datasets2分钟
Spreadsheets6分钟
Spreadsheets in the cloud4分钟
7 个阅读材料
Welcome to Module 410分钟
Module 4 Notebook10分钟
Welcome to Module 510分钟
Module 5 Exercise10分钟
Welcome to Module 610分钟
Module 6 Notebook10分钟
Module 6 Exercise10分钟
1 个练习
Modules 1 to 5
3
完成时间为 3 小时

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 个视频 (总计 102 分钟), 9 个阅读材料, 1 个测验
19 个视频
Descriptive statistics49
Data import for descriptive statistics5分钟
Creating lists for descriptive statistics8分钟
Point estimates10分钟
Measures of dispersion6分钟
Data Visualization39
Data import for visualization2分钟
Scatter plots10分钟
Box plots3分钟
Histograms5分钟
Bar and pie charts6分钟
Distributions1分钟
Probability8分钟
PDF and CDF3分钟
Discrete distributions7分钟
Continuous distributions6分钟
Sampling distributions6分钟
Simulated data6分钟
9 个阅读材料
Welcome to Module 710分钟
Module 7 Notebook10分钟
Module 7 Exercise10分钟
Welcome to Module 810分钟
Module 8 Notebook10分钟
Module 8 Exercise10分钟
Welcome to Module 910分钟
Module 9 Notebook10分钟
Module 9 Exercise10分钟
1 个练习
Modules 6 to 9
4
完成时间为 3 小时

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 个视频 (总计 68 分钟), 12 个阅读材料, 2 个测验
17 个视频
Linear regression36
Importing data4分钟
Descriptive statistics and visualization3分钟
Linear model5分钟
Comparing means17
Data import3分钟
Comparing two means8分钟
Comparing more than two means7分钟
Comparing categorical variables21
Contingency tables7分钟
Chi-squared test3分钟
Creating a Computational Essay47
Data import7分钟
Main research question6分钟
Secondary research questions7分钟
The end20
12 个阅读材料
Welcome to Module 1010分钟
Module 10 Notebook10分钟
Module 10 Exercise10分钟
Welcome to Module 1110分钟
Module 11 Notebook10分钟
Module 11 Exercise10分钟
Welcome to Module 1210分钟
Module 12 Notebook10分钟
Module 12 Exercise10分钟
Welcome to Module 1310分钟
Module 13 Notebook10分钟
Final Exam Instructions10分钟
2 个练习
Modules 10 to 13
Final

讲师

Avatar

Juan H Klopper

Dr
Department of Surgery

关于 开普敦大学

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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