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.
Doing Clinical Research: Biostatistics with the Wolfram Language
oferecido por
Universidade da Cidade do Cabo
29 Inscrito
Programa - O que você aprenderá com este curso
Semana
12 horas para concluir
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 vídeos (total de (Total 53 mín.) min), 8 leituras
13 videos
Welcome6min
The Klopper Research Group1min
Assumptions1min
Learning a computer language1min
Why the Wolfram language?7min
Getting Mathematica5min
The Wolfram Cloud1min
The Wolfram Programming Lab8min
Free-form input and Wolfram Alpha in the Cloud3min
Mathematica27s
Free-form input and Wolfram Alpha in the desktop7min
Help and documentation3min
Assignment notebooks4min
8 leituras
How this Course Works10min
Welcome to Module 110min
Meet the Course Instructor10min
Module 1 Notebook10min
Welcome to Module 210min
Welcome to Module 310min
Module 3 Notebook10min
Module 3 Exercise10min
Semana
23 horas para concluir
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 vídeos (total de (Total 100 mín.) min), 7 leituras, 1 teste
20 videos
Simulated data demonstration - part 11min
Simulated data demonstration - part 27min
Simple arithmetic30s
Addition and subtraction5min
Multiplication and division9min
Powers5min
Arithmetical order2min
Calculating a mean5min
Working with data40s
Lists part 17min
Lists part 23min
Tables7min
Index10min
Datasets9min
Selecting6min
Dataset functions3min
Creating lists from datasets2min
Spreadsheets6min
Spreadsheets in the cloud4min
7 leituras
Welcome to Module 410min
Module 4 Notebook10min
Welcome to Module 510min
Module 5 Exercise10min
Welcome to Module 610min
Module 6 Notebook10min
Module 6 Exercise10min
1 exercício prático
Modules 1 to 5
Semana
33 horas para concluir
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 vídeos (total de (Total 102 mín.) min), 9 leituras, 1 teste
19 videos
Descriptive statistics49s
Data import for descriptive statistics5min
Creating lists for descriptive statistics8min
Point estimates10min
Measures of dispersion6min
Data Visualization39s
Data import for visualization2min
Scatter plots10min
Box plots3min
Histograms5min
Bar and pie charts6min
Distributions1min
Probability8min
PDF and CDF3min
Discrete distributions7min
Continuous distributions6min
Sampling distributions6min
Simulated data6min
9 leituras
Welcome to Module 710min
Module 7 Notebook10min
Module 7 Exercise10min
Welcome to Module 810min
Module 8 Notebook10min
Module 8 Exercise10min
Welcome to Module 910min
Module 9 Notebook10min
Module 9 Exercise10min
1 exercício prático
Modules 6 to 9
Semana
43 horas para concluir
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 vídeos (total de (Total 68 mín.) min), 12 leituras, 2 testes
17 videos
Linear regression36s
Importing data4min
Descriptive statistics and visualization3min
Linear model5min
Comparing means17s
Data import3min
Comparing two means8min
Comparing more than two means7min
Comparing categorical variables21s
Contingency tables7min
Chi-squared test3min
Creating a Computational Essay47s
Data import7min
Main research question6min
Secondary research questions7min
The end20s
12 leituras
Welcome to Module 1010min
Module 10 Notebook10min
Module 10 Exercise10min
Welcome to Module 1110min
Module 11 Notebook10min
Module 11 Exercise10min
Welcome to Module 1210min
Module 12 Notebook10min
Module 12 Exercise10min
Welcome to Module 1310min
Module 13 Notebook10min
Final Exam Instructions10min
2 exercícios práticos
Modules 10 to 13
Final
Instrutores
Juan H Klopper
DrDepartment of Surgery
Sobre Universidade da Cidade do Cabo
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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