Mathematica for healthcare and life science statistics

Learn an easy, yet powerful computer language and how to use it to do your own statistical analysis.

4.80 (94 reviews)
Udemy
platform
English
language
Math
category
instructor
654
students
5 hours
content
Dec 2017
last update
$39.99
regular price

What you will learn

Understand the Wolfram computer language

Import your own data into Mathematica

Do statistical analysis of the data

Create plots and graphs from your data

Description

This course is for anyone in the healthcare and life sciences interested in doing their own statistical analysis.  You will learn an easy to use, powerful computer language and how to use it to do statistical analysis.  The introduction shows you how to get a copy of Mathematica or how to use the free version in the cloud.  The Wolfram company also provides complimentary access to Wolfram|One for all students who take this course.  More information is available in the BONUS MATERIAL video lecture.

Although the course assumes some knowledge of statistical concepts, it does supply enough information on the basics of statistics, so that most learners will find it a useful resource enough resource to learn these concepts, over and above learning how to write code to do the actual analysis.

The course is made up of clearly defined sections, each with its own set of video lectures.  The first video in each section is accompanied by notebook files and, where required, a spreadsheet data file.  The notebook in each section marked Recording... is a copy of the notebook that I use in the video lectures.  The other notebook file contains much more description of both the code and the statitics.  You can use this as an additional study resource as you learn how to use Mathematica.

The course starts with a gentle introduction to using Mathematica by showing you how to perform simple calculations. From here it progresses through descriptive statistics, plotting and charting, the creation of simulated data and the importation of existing data.  

Before too long you will be able to do advanced statistical tests such as parametric and nonparametric tests and even survival analysis.  All with a few short lines of code.

Get ready to understand and do your own statistics.

Content

Course orientation

Introduction
Getting Mathematica
Desktop Mathematica
Mathematica in the cloud

Mathematica, the fancy calculator

Section 2 Getting to know Mathematica through arithmetical calculations
01 Arithmetic
02 Powers, order, and the simple mean

Collections

Section 3 Creating lists of values
01 Creating lists
02 Nested lists and matrices
03 List comprehension
04 Accessing elements of a list
05 The length of a list
06 Appending to or flattening a list

Descriptive statistics

Section 04 Our first look at statistical analysis
01 Measures of central tendency
02 Measures of dispersion
03 Functions

Random variables

01 Random numbers
Section 5 Creating simulated data
02 Random categorical variables
03 The normal distribution
04 Random values following a distribution

Confidence intervals

Section 6 Confidence intervals
01 Confidence intervals around the mean
02 Confidence intervals around the difference in means and variances

Parametric tests

Section 7 Common statistical tests
01 Creating lists
02 One sample t-test
03 The t-test
04 Paired-sample t-test
05 Analysis of variance
06 More on ANOVA
07 Linear regression

Working with data

Section 8 Importing spreadsheet data
01 Introduction
02 Specifying the directory and importing a file.
03 Referencing dataset values
04 Selecting rows based on rules
05 Simple descriptive statistics
06 Using GroupBy to select data
07 Creating sub datasets and lists
08 Working with a data file in the cloud

Plotting

Section 9 Visualizing your data
01 Creating simulated data
02 The list plot
03 The bubble chart
04 The histogram
05 The smooth and 3D histograms
06 The box-and-whisker cahrt
07 The bar and pie charts

More about parametric tests

Section 10 More advanced parametric tests
01 Two-way ANOVA
02 Three way ANOVA
03 Fitting a curve
04 Simple linear regression
05 Multiple linear regression

Nonparametric tests

Section 11 Nonparametric tests
01 Creating lists
02 Testing the assumptions for the use of parametric tests
03 The Mann-Whitney-U test
04 The Kruskal-Wallis test
05 The Spearman rank test

Survival analysis

Section 12 Survival analysis
01 Getting data into the correct format
02 Kaplan-Meier curves and the log rank test

BONUS MATERIAL: GET COMPLIMENTARY ACCESS TO MATHEMATICA

BONUS MATERIAL: Get complimentary access to Wolfram | One

The chi-square test for independence

The steps required to do a chi-square test for independence
Chi-square test for independence

Screenshots

Mathematica for healthcare and life science statistics - Screenshot_01Mathematica for healthcare and life science statistics - Screenshot_02Mathematica for healthcare and life science statistics - Screenshot_03Mathematica for healthcare and life science statistics - Screenshot_04

Reviews

Richard
May 25, 2023
I've been using Mathematica for many years (occasionally). He showed me new things about the notebook editor in the first ten minutes.
Mark
January 4, 2021
Course demonstrates statistical test using Mathematica as well as statistical plots. There are no exercises or quizzes. Many of the demonstrations use random test data rather than actual data although some demonstrations use imported data.
Leighton
April 30, 2020
I follow it so far, I am comparing both Mathematica and Maple together so I will write later at the end some more notes.
Douglas
March 17, 2019
I think Mathematica is a wonderful and unfortunately often underrated software tool that has so many applications. I'm looking forward to learning much more about it. Thanks for offering this online tutorial course. It promises to be interesting. Just one minor criticism however. In some of the lectures the host's voice is slightly difficult to hear or understand, even when I increase my laptop's volume. I know I don't have any kind of auditory deficit, so I suspect the host is not speaking quite as clearly as he should. It's a minor issue because I understand him about 95% of the time, but I'm a little concerned about the other 5% of the time!!! Thanks! And speak clearly and a little louder!!!!!
Davide
December 22, 2018
Very good class. Practical and with useful examples. Perhaps some more theoretical background on the various topics would help.
David
February 22, 2018
Good pace. Clear explanations with easy to follow examples. Mathematica documentation always uses obtuse examples. These examples are easy to grasp.
Rubens
October 2, 2017
I really enjoyed the lessons. So far, it's being clear and objective. But, it would be better if there were subtitles in English.
stephen
May 2, 2017
Great intro to Mathematica, was looking for more on health stats. We did touch on survival curves at the end but this course was just as applicable using mathematica for business.

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1137736
udemy ID
3/7/2017
course created date
9/1/2020
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