LinkedIn – Python for Health Sciences and Healthcare 2023-10

Python for Health Sciences and Healthcare Course. This course helps healthcare professionals learn the fundamentals of Python programming in a practical way. Guided by Wuraola Oyewusi, a data scientist, participants will learn basic concepts such as naming conventions, Python keywords, and setting up a workspace in the Colaboratory Notebook and CoderPad. Topics include basic data types, data structures, basic operations, functions, expressions, and Python built-ins. They will also learn how to use Python documentation and libraries. Practical challenges and accompanying solutions help reinforce the skills learned. As a targeted starting point, this course provides the essential skills to apply Python to healthcare.

What you will learn:

• Understand general programming concepts, including programming languages ​​and development environments.
• Introduction to Python, its naming conventions and keywords.
• Setting up a workspace with Collaboratory notebook and Coderpad.
• Working with basic Python data types (numeric, string, boolean).
• Use basic Python data structures (lists, tuples, sets, dictionaries).
• Perform basic operations in Python (arithmetic, comparison, logical).
• Understand and use functions and expressions in Python (conditional statements, for loops).
• Familiarity with Python’s built-in functions and other operations (length, count, min, max, range, sum, string case, split, join, strip, replace, zip, map, slicing, string formatting).
• Learn to document code in Python (comments, docstring, error messages, official documentation).
• Familiarity with Python libraries and how to install and use them (import statement, aliasing).
• Understanding Python libraries used in data analysis.
• Strengthen skills through solving practical challenges.

Who is this course suitable for?

• Healthcare professionals who are interested in learning Python for use in their work.
• Beginners who want to learn the basics of Python programming.
• Those looking to use Python in analyzing health-related data.
• Those interested in using programming tools to improve efficiency and accuracy in healthcare sciences.

Python Data Analysis for Healthcare Course Specifications

• Publisher: LinkedIn
• Instructor: Wuraola Oyewusi
• Training level: Beginner
• Training duration: 2 hours and 8 minutes

Course headings

Course images

Sample course video

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Download file – 185 MB

File(s) password: www.downloadly.ir

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185 MB