This course has a singular and clear aim, to empower you to do statistical tests, ready for incorporation into your dissertations, research papers, and presentations. The ability to summarize data, create plots and charts, and to do the tests that you commonly see in the literature is a powerful skill indeed. Not only will it further your career, but it will put you in the position to contribute to the advancement of humanity though scientific research.
We live in a wonderful age with great tools at our disposal, ready to achieve this goal. None are quite as easy to learn, yet as powerful to use, as the Wolfram Language. Knowledge is literally built into the language. With its well-structured and consistent approach to creating code, you will become an expert in no time.
This course follows the modern trend of learning statistical analysis through the use of a computer language. It requires no prior knowledge of coding. An exciting journey awaits.
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 2 小時
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 個視頻 （總計 53 分鐘）, 8 個閱讀材料
13 個視頻
Welcome6分鐘
The Klopper Research Group1分鐘
Assumptions1分鐘
Learning a computer language1分鐘
Why the Wolfram language?7分鐘
Getting Mathematica5分鐘
The Wolfram Cloud1分鐘
The Wolfram Programming Lab8分鐘
Free-form input and Wolfram Alpha in the Cloud3分鐘
Mathematica27
Free-form input and Wolfram Alpha in the desktop7分鐘
Help and documentation3分鐘
Assignment notebooks4分鐘
8 個閱讀材料
How this Course Works10分鐘
Welcome to Module 110分鐘
Meet the Course Instructor10分鐘
Module 1 Notebook10分鐘
Welcome to Module 210分鐘
Welcome to Module 310分鐘
Module 3 Notebook10分鐘
Module 3 Exercise10分鐘
週
2完成時間為 3 小時
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 個視頻 （總計 100 分鐘）, 7 個閱讀材料, 1 個測驗
20 個視頻
Simulated data demonstration - part 11分鐘
Simulated data demonstration - part 27分鐘
Simple arithmetic30
Addition and subtraction5分鐘
Multiplication and division9分鐘
Powers5分鐘
Arithmetical order2分鐘
Calculating a mean5分鐘
Working with data40
Lists part 17分鐘
Lists part 23分鐘
Tables7分鐘
Index10分鐘
Datasets9分鐘
Selecting6分鐘
Dataset functions3分鐘
Creating lists from datasets2分鐘
Spreadsheets6分鐘
Spreadsheets in the cloud4分鐘
7 個閱讀材料
Welcome to Module 410分鐘
Module 4 Notebook10分鐘
Welcome to Module 510分鐘
Module 5 Exercise10分鐘
Welcome to Module 610分鐘
Module 6 Notebook10分鐘
Module 6 Exercise10分鐘
1 個練習
Modules 1 to 5
週
3完成時間為 3 小時
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 個視頻 （總計 102 分鐘）, 9 個閱讀材料, 1 個測驗
19 個視頻
Descriptive statistics49
Data import for descriptive statistics5分鐘
Creating lists for descriptive statistics8分鐘
Point estimates10分鐘
Measures of dispersion6分鐘
Data Visualization39
Data import for visualization2分鐘
Scatter plots10分鐘
Box plots3分鐘
Histograms5分鐘
Bar and pie charts6分鐘
Distributions1分鐘
Probability8分鐘
PDF and CDF3分鐘
Discrete distributions7分鐘
Continuous distributions6分鐘
Sampling distributions6分鐘
Simulated data6分鐘
9 個閱讀材料
Welcome to Module 710分鐘
Module 7 Notebook10分鐘
Module 7 Exercise10分鐘
Welcome to Module 810分鐘
Module 8 Notebook10分鐘
Module 8 Exercise10分鐘
Welcome to Module 910分鐘
Module 9 Notebook10分鐘
Module 9 Exercise10分鐘
1 個練習
Modules 6 to 9
週
4完成時間為 3 小時
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 個視頻 （總計 68 分鐘）, 12 個閱讀材料, 2 個測驗
17 個視頻
Linear regression36
Importing data4分鐘
Descriptive statistics and visualization3分鐘
Linear model5分鐘
Comparing means17
Data import3分鐘
Comparing two means8分鐘
Comparing more than two means7分鐘
Comparing categorical variables21
Contingency tables7分鐘
Chi-squared test3分鐘
Creating a Computational Essay47
Data import7分鐘
Main research question6分鐘
Secondary research questions7分鐘
The end20
12 個閱讀材料
Welcome to Module 1010分鐘
Module 10 Notebook10分鐘
Module 10 Exercise10分鐘
Welcome to Module 1110分鐘
Module 11 Notebook10分鐘
Module 11 Exercise10分鐘
Welcome to Module 1210分鐘
Module 12 Notebook10分鐘
Module 12 Exercise10分鐘
Welcome to Module 1310分鐘
Module 13 Notebook10分鐘
Final Exam Instructions10分鐘
2 個練習
Modules 10 to 13
Final
講師
Juan H Klopper
DrDepartment of Surgery
關於 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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