About this Course
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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

완료하는 데 약 17시간 필요

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

영어

자막: 영어

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

완료하는 데 약 17시간 필요

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

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 2시간 필요

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 videos (Total 54 min), 8 readings
14개의 동영상
The Klopper Research Group1m
Assumptions1m
Learning a computer language1m
Why the Wolfram language?7m
Getting Mathematica5m
The new Wolfram Cloud1m
The Wolfram Cloud1m
The Wolfram Programming Lab8m
Free-form input and Wolfram Alpha in the Cloud3m
Mathematica27
Free-form input and Wolfram Alpha in the desktop7m
Help and documentation3m
Assignment notebooks4m
8개의 읽기 자료
How this Course Works10m
Welcome to Module 110m
Meet the Course Instructor10m
Module 1 Notebook10m
Welcome to Module 210m
Welcome to Module 310m
Module 3 Notebook10m
Module 3 Exercise10m
2
완료하는 데 3시간 필요

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 videos (Total 100 min), 7 readings, 1 quiz
20개의 동영상
Simulated data demonstration - part 11m
Simulated data demonstration - part 27m
Simple arithmetic30
Addition and subtraction5m
Multiplication and division9m
Powers5m
Arithmetical order2m
Calculating a mean5m
Working with data40
Lists part 17m
Lists part 23m
Tables7m
Index10m
Datasets9m
Selecting6m
Dataset functions3m
Creating lists from datasets2m
Spreadsheets6m
Spreadsheets in the cloud4m
7개의 읽기 자료
Welcome to Module 410m
Module 4 Notebook10m
Welcome to Module 510m
Module 5 Exercise10m
Welcome to Module 610m
Module 6 Notebook10m
Module 6 Exercise10m
1개 연습문제
Modules 1 to 5
3
완료하는 데 3시간 필요

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 videos (Total 102 min), 9 readings, 1 quiz
19개의 동영상
Descriptive statistics49
Data import for descriptive statistics5m
Creating lists for descriptive statistics8m
Point estimates10m
Measures of dispersion6m
Data Visualization39
Data import for visualization2m
Scatter plots10m
Box plots3m
Histograms5m
Bar and pie charts6m
Distributions1m
Probability8m
PDF and CDF3m
Discrete distributions7m
Continuous distributions6m
Sampling distributions6m
Simulated data6m
9개의 읽기 자료
Welcome to Module 710m
Module 7 Notebook10m
Module 7 Exercise10m
Welcome to Module 810m
Module 8 Notebook10m
Module 8 Exercise10m
Welcome to Module 910m
Module 9 Notebook10m
Module 9 Exercise10m
1개 연습문제
Modules 6 to 9
4
완료하는 데 3시간 필요

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 videos (Total 68 min), 12 readings, 2 quizzes
17개의 동영상
Linear regression36
Importing data4m
Descriptive statistics and visualization3m
Linear model5m
Comparing means17
Data import3m
Comparing two means8m
Comparing more than two means7m
Comparing categorical variables21
Contingency tables7m
Chi-squared test3m
Creating a Computational Essay47
Data import7m
Main research question6m
Secondary research questions7m
The end20
12개의 읽기 자료
Welcome to Module 1010m
Module 10 Notebook10m
Module 10 Exercise10m
Welcome to Module 1110m
Module 11 Notebook10m
Module 11 Exercise10m
Welcome to Module 1210m
Module 12 Notebook10m
Module 12 Exercise10m
Welcome to Module 1310m
Module 13 Notebook10m
Final Exam Instructions10m
2개 연습문제
Modules 10 to 13
Final

강사

Avatar

Juan H Klopper

Dr
Department of Surgery

케이프타운대학교 정보

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....

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 수료증을 구매하면 성적 평가 과제를 포함한 모든 강좌 자료에 접근할 수 있습니다. 강좌를 완료하면 전자 수료증이 성취도 페이지에 추가되며, 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 콘텐츠만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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