Udemy

Biostatistics Fundamentals using Python

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  • 2,086 Students
  • Updated 5/2020
4.3
(333 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 51 Minute(s)
Language
English
Taught by
Juan Klopper
Rating
4.3
(333 Ratings)
1 views

Course Overview

Biostatistics Fundamentals using Python

Learn how easy it is to use Python to do your biostatistical analysis

This course empowers you to do your own biostatistical analysis. Whether you are a healthcare professional, scientist, or just someone interested in supercharging their research career, the time to learn how to use a modern computer language to do you own analysis, has arrived.


Python is becoming the de facto standard in data analysis. It is a free to use, powerful programming language. With the minimum of effort, you will soon be able to do all you own analysis, create beautiful plots, and deliver your reports or publish your research with confidence and pride.

Course Content

  • 13 section(s)
  • 59 lecture(s)
  • Section 1 Introduction
  • Section 2 Installing the software
  • Section 3 Simple arithmetic
  • Section 4 Collections
  • Section 5 Working with data
  • Section 6 Descriptive statistics
  • Section 7 Data visualization
  • Section 8 Assumptions for the use of parametric tests
  • Section 9 Correlation and linear regression
  • Section 10 Comparing means
  • Section 11 Comparing categorical variables
  • Section 12 Logistic regression
  • Section 13 Research projects

What You’ll Learn

  • After completing this course, students will be able to use Python to do their own biostatistical analysis


Reviews

  • L
    Lahav Cohen
    1.0

    I didn't even managed to understand how to download Python. what is the connection to Jupyter, Anaconda, Mamba etc..? you are taking as granted as everyone knows about all these things, and it isn't explain at all.

  • K
    Kamila Andrzejewska
    5.0

    perfect, thank you

  • P
    Pranavu
    4.5

    GOOD

  • R
    Reiko Matsushita
    2.5

    His descriptions of python functions are not always detailed enough. I wish he explains the code line by line instead of pasting a block of his own code and moving on.

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