4.7
stars
47 ratings

Juan H Klopper

5,465 already enrolled

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Doing Clinical Research: Biostatistics with the Wolfram Language

University of Cape Town

About this Course

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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 through 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. If you wanting even more, there are optional Honors lessons on machine learning that cover the support in the Wolfram Language for deep learning.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Beginner Level

Approx. 15 hours to complete

English

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Skills you will gain

Learn to use the Wolfram Language to summarize data and create plots
Learn to use the Wolfram Language to do common statistical tests

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Approx. 15 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.73/5 (15 Ratings)

Juan H Klopper

Department of Surgery

181,323 Learners

3 Courses

Offered by

University of Cape Town

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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Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

Week 1

This first week establishes the aims of the course and motivation for using the Wolfram Language. We aim to support you in gaining a remarkable new set of skills for doing statistical analysis that you can continue to use long after you complete the course. We will also describe the process of procuring the software that you will use in the course. The first is the absolutely free version, which is software as a service, meaning it runs in any web browser. The second is the desktop version. If you work or study 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.

3 hours to complete

14 videos (Total 54 min), 8 readings

14 videos

Welcome6mThe Klopper Research Group1mAssumptions1mLearning a computer language1mWhy the Wolfram language?7mGetting Mathematica5mThe new Wolfram Cloud1mThe Wolfram Cloud1mThe Wolfram Programming Lab8mFree-form input and Wolfram Alpha in the Cloud3mMathematica27sFree-form input and Wolfram Alpha in the desktop7mHelp and documentation3mAssignment notebooks4m

8 readings

How this Course Works10mWelcome to Module 110mMeet the Course Instructor10mModule 1 Notebook10mWelcome to Wolfram Cloud10mWelcome to Module 310mModule 3 Notebook10mModule 3 Exercise10m

Week2

Week 2

3 hours to complete

Week 2

In week 2, we start with some actual coding, now that you know about the Wolfram Language and its different coding environments. We start off with a demonstration of a completed project. It is just a little teaser, showcasing what you will be able to do at the end. Next, we are going to learn to code by doing simple arithmetic. That is simple 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. These are the stepping stone required to bringing in your own data, ready for the analyses in the following weeks.

3 hours to complete

20 videos (Total 100 min), 8 readings, 1 quiz

20 videos

Create Your Own Computational Essay33sSimulated data demonstration - part 11mSimulated data demonstration - part 27mSimple arithmetic30sAddition and subtraction5mMultiplication and division9mPowers5mArithmetical order2mCalculating a mean5mWorking with data40sLists part 17mLists part 23mTables7mIndex10mDatasets9mSelecting6mDataset functions3mCreating lists from datasets2mSpreadsheets6mSpreadsheets in the cloud4m

8 readings

Welcome to Module 410mModule 4 Notebook10mWelcome to Module 510mModule 5 Exercise10mWelcome to Module 610mModule 6 Notebook10mModule 6 Exercise10mCoronavirus data analysis10m

1 practice exercise

Modules 1 to 5

Week3

Week 3

5 hours to complete

Week 3

In week 3, its time to start analyzing data, now that you can write some code and import your data. The two most important steps to understand the message hidden in data, are 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 it really shines when creating plots. There are almost no limits to customizing plots. No matter what your project requirements, you will learn to create plots that work for you. Starting this week is an optional Honors lessons that introduce machine learning using the Wolfram Language.

5 hours to complete

27 videos (Total 153 min), 10 readings, 2 quizzes

27 videos

Summary Statistics37sDescriptive statistics49sData import for descriptive statistics5mCreating lists for descriptive statistics8mPoint estimates10mMeasures of dispersion6mData Visualization39sData import for visualization2mScatter plots10mBox plots3mHistograms5mBar and pie charts6mDistributions1mProbability8mPDF and CDF3mDiscrete distributions7mContinuous distributions6mSampling distributions6mSimulated data6m01: Introduction to neural networks46s02: Introduction to machine learning6m03: The fundamentals25s04: Basic framework of a neural network10m05: Layers in a neural network11m06: Reviewing a neural network4m07: From inputs to predictions6m08: Finding a solution10m

10 readings

Welcome to Module 710mModule 7 Notebook10mModule 7 Exercise10mWelcome to Module 810mModule 8 Notebook10mModule 8 Exercise10mWelcome to Module 910mModule 9 Notebook10mModule 9 Exercise10mNeural networks in the Wolfram language10m

2 practice exercises

Modules 6 to 9Honors: Deep learning basics1h

Week4

Week 4

5 hours to complete

Week 4

This final week covers all the common statistical tests - going from Student's t-test to analysis of variance to chi-squared tests. We conclude the course with a run-through of the demonstration research project that you saw at the beginning of week two. This brings together all the skills that you have acquired during the course and prepares you for the final exam. You will also have the opportunity to create your own computational essay, if you are not content with just working through the demonstration project. For those following the optional Honors lessons there is an introduction to deep learning using the Wolfram Language.

5 hours to complete

27 videos (Total 121 min), 13 readings, 3 quizzes

27 videos

Inferential Statistics47sLinear regression36sImporting data4mDescriptive statistics and visualization3mLinear model5mComparing means17sData import3mComparing two means8mComparing more than two means7mComparing categorical variables21sContingency tables7mChi-squared test3mCreating a Computational Essay47sData import7mMain research question6mSecondary research questions7mCongratulations on reaching the end20s09: Introduction to Wolfram Language machine learning25s10: Automated Machine Learning10m11: Running an automated algorithm4m12: Testing the automated algorithm3m13: Setting the method to neural network3m14: Normalizing the data7m15: Manually created neural networks8m16: Regression - part 14m17: Regression - part 22m18: Regression - part 37m

13 readings

Welcome to Module 105mModule 10 Notebook5mModule 10 Exercise5mWelcome to Module 115mModule 11 Notebook5mModule 11 Exercise5mWelcome to Module 125mModule 12 Notebook5mModule 12 Exercise5mWelcome to Module 1310mModule 13 Notebook10mFinal Exam Instructions10mContinuing your journey with deep neural networks10m

3 practice exercises

Modules 10 to 13Final ExamHonors: Deep learning functions1h

Reviews

4.7

12 reviews

5 stars
76.59%
4 stars
17.02%
3 stars
4.25%
2 stars
2.12%

TOP REVIEWS FROM DOING CLINICAL RESEARCH: BIOSTATISTICS WITH THE WOLFRAM LANGUAGE

by UBJul 24, 2020

Learn lot of things about Mathematica language. Thank you very much

by MNMar 21, 2021

The course was great, I enjoyed learning on this platform.

by APSep 17, 2020

This is a Fantastic Course. Those interested to learn Bio statistics with Wolfram should definitely go for this one.

View all reviews

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What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Doing Clinical Research: Biostatistics with the Wolfram Language

Doing Clinical Research: Biostatistics with the Wolfram Language

About this Course

Skills you will gain