Back to Programming for Data Science
Learner Reviews & Feedback for Programming for Data Science by University of Leeds
17 ratings
About the Course
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.
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.
Top reviews
HS
Nov 13, 2023
Concise and good introductory course for anyone that might not be too familiar with Python. Quite easy for non-beginners, but that wasn't the target demographic anyway.
JT
Oct 2, 2024
Good "taster" course... no technical/grading issues, very polished.
Filter by:
1 - 5 of 5 Reviews for Programming for Data Science
By Harman S
•Nov 14, 2023
Concise and good introductory course for anyone that might not be too familiar with Python. Quite easy for non-beginners, but that wasn't the target demographic anyway.
By Michael H
•Mar 21, 2024
exam 3 does not grade correctly and i can not get any help addressing this issue...
By James T
•Oct 2, 2024
Good "taster" course... no technical/grading issues, very polished.
By Ксения
•Apr 9, 2024
Nice course, thanks!
By Ain A B
•Mar 6, 2024
It didnt show true mistake