About this Course

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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 10 hours to complete

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

English

Subtitles: English

Skills you will gain

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

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 10 hours to complete

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

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Week 1

2 hours to complete
14 videos (Total 54 min), 8 readings
14 videos
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
Mathematica27s
Free-form input and Wolfram Alpha in the desktop7m
Help and documentation3m
Assignment notebooks4m
8 readings
How this Course Works10m
Welcome to Module 110m
Meet the Course Instructor10m
Module 1 Notebook10m
Welcome to Wolfram Cloud10m
Welcome to Module 310m
Module 3 Notebook10m
Module 3 Exercise10m
Week
2

Week 2

3 hours to complete

Week 2

3 hours to complete
20 videos (Total 100 min), 7 readings, 1 quiz
20 videos
Simulated data demonstration - part 11m
Simulated data demonstration - part 27m
Simple arithmetic30s
Addition and subtraction5m
Multiplication and division9m
Powers5m
Arithmetical order2m
Calculating a mean5m
Working with data40s
Lists part 17m
Lists part 23m
Tables7m
Index10m
Datasets9m
Selecting6m
Dataset functions3m
Creating lists from datasets2m
Spreadsheets6m
Spreadsheets in the cloud4m
7 readings
Welcome to Module 410m
Module 4 Notebook10m
Welcome to Module 510m
Module 5 Exercise10m
Welcome to Module 610m
Module 6 Notebook10m
Module 6 Exercise10m
1 practice exercise
Modules 1 to 5
Week
3

Week 3

5 hours to complete

Week 3

5 hours to complete
27 videos (Total 153 min), 10 readings, 2 quizzes
27 videos
Descriptive statistics49s
Data import for descriptive statistics5m
Creating lists for descriptive statistics8m
Point estimates10m
Measures of dispersion6m
Data Visualization39s
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
01: Introduction to neural networks46s
02: Introduction to machine learning6m
03: The fundamentals25s
04: Basic framework of a neural network10m
05: Layers in a neural network11m
06: Reviewing a neural network4m
07: From inputs to predictions6m
08: Finding a solution10m
10 readings
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
Neural networks in the Wolfram language10m
2 practice exercises
Modules 6 to 9
Honors Quiz on deep learning basics1h
Week
4

Week 4

5 hours to complete

Week 4

5 hours to complete
27 videos (Total 121 min), 13 readings, 3 quizzes
27 videos
Linear regression36s
Importing data4m
Descriptive statistics and visualization3m
Linear model5m
Comparing means17s
Data import3m
Comparing two means8m
Comparing more than two means7m
Comparing categorical variables21s
Contingency tables7m
Chi-squared test3m
Creating a Computational Essay47s
Data import7m
Main research question6m
Secondary research questions7m
Congratulations on reaching the end20s
09: Introduction to Wolfram Language machine learning25s
10: Automated Machine Learning10m
11: Running an automated algorithm4m
12: Testing the automated algorithm3m
13: Setting the method to neural network3m
14: Normalizing the data7m
15: Manually created neural networks8m
16: Regression - part 14m
17: Regression - part 22m
18: Regression - part 37m
13 readings
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
Continuing your journey with deep neural networks10m
3 practice exercises
Modules 10 to 13
Final Exam
Honors quiz on deep learning functions1h

Instructor

Image of instructor, Juan H Klopper

Juan H Klopper 

Dr
Department of Surgery
82,890 Learners
3 Courses

Offered by

University of Cape Town logo

University of Cape Town

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.