Coursera

Programming for Data Science (Coursera)

Offered by University of Leeds,

Explore the basics of programming and familiarise yourself with the Python language. After completing this course, you will be able to write Python programs in Jupyter Notebook and describe basic programming. In this course, you will learn everything you need to start your programming journey. You will discover the different data types available in Python and how to use them, learn how to apply conditional and looping control structures, and write your own functions.

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This course provides detailed descriptions of new concepts and background information for additional context. The quizzes available will help you to develop your understanding. You will also complete exercises using Jupyter Notebook on your computer. By using Jupyter Notebook, you will be able to combine your notes with useful examples so that you develop the resources you need to program independently in the future.
This course is a taster of the Online MSc in Data Science (Statistics) but it can be completed by learners who want an introduction to programming and explore the basics of Python.

What you'll learn

Open Jupyter Notebook and use it to run Python code.
Identify Python operators, data types and containers.
Program control structures in Python, such as if statements and for and while loops.
Write Python functions that take input and return output.

Syllabus

First steps with Python
This module introduces Python and Jupyter Notebook, as well as the concepts of variables, assignment and basic mathematical operators.

Data Types in Python
This module introduces the fundamental data types in Python, namely numbers, strings, Booleans and None. It also introduces structured data types, including lists, tuples, sets, dictionaries and classes.

Control Structures and Functions

Go to Class

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