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.
Programming for Data Science
Gain insight into a topic and learn the fundamentals.
4.2
(19 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 8 hours
Learn at your own pace
Prepare for a degree
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.
Skills you'll gain
Details to know
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Assessments
3 assignments
Taught in English
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There are 3 modules in this course
This module introduces Python and Jupyter Notebook, as well as the concepts of variables, assignment and basic mathematical operators.
What's included
5 videos8 readings1 assignment1 discussion prompt1 ungraded lab
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.
What's included
2 videos18 readings1 assignment1 discussion prompt1 ungraded lab
What's included
2 videos16 readings1 assignment1 discussion prompt1 ungraded lab
Instructors
Instructor ratings
5.0 (6 ratings)
Offered by
Recommended if you're interested in Data Analysis
Duke University
University of London
University of California, Davis
University of London
Prepare for a degree
Taking this course by University of Leeds may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
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Learner reviews
4.2
19 reviews
- 5 stars
68.42%
- 4 stars
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- 3 stars
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Showing 3 of 19
HS
5
Reviewed on 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
5
Reviewed on Oct 2, 2024
Good "taster" course... no technical/grading issues, very polished.
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Frequently asked questions
This course is a taster to MSc Data Science (Statics) on Coursera. Completion of the course will not give you credit towards this programme. The course can be completed independently by any learners interested in programming and learning the basics of Python.
Yes, you will need to install Python on your computer in order to write programs.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.