Programming for Data Science

Programming for Data Science

Instructors: Dr Jonathan Ward

Access provided by SR University

5,176 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

30 reviews

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

30 reviews

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

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

Tools you'll learn

Details to know

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Assessments

3 assignments

Taught in English

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There are 3 modules in this 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.

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

What's included

5 videos9 readings1 assignment1 discussion prompt1 ungraded lab

5 videos Total 20 minutes

Welcome to Programming for Data Science 2 minutes
Learning to program 3 minutes
Introduction to Python 4 minutes
Introduction to Jupyter Notebook 6 minutes
Python as a Calculator 6 minutes

9 readings Total 36 minutes

About this Course 2 minutes
How to study on this course 4 minutes
Our sustainability commitment for your course 10 minutes
Program Development Environments 5 minutes
Setting up Anaconda 3 minutes
Variables and assignment 3 minutes
Operators, functions and methods 5 minutes
The math module 3 minutes
Module 1 Summary 1 minute

1 assignment Total 15 minutes

Variable Assignment and Mathematical Operators 15 minutes

1 discussion prompt Total 15 minutes

Module 1 Reflection 15 minutes

1 ungraded lab Total 10 minutes

A first look at Jupyter Notebook 10 minutes

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

2 videos Total 7 minutes

Overview of Basic data Types in Python 5 minutes
Introduction to Structured data Types in Python 2 minutes

18 readings Total 75 minutes

Int, Float and Complex 5 minutes
Mathematical Operators 8 minutes
Numerical Comparisons 2 minutes
Methods for int and float 2 minutes
Introduction to Strings 4 minutes
Indices and Slices 2 minutes
String Comparisons and Methods 5 minutes
f-strings 15 minutes
Booleans 1 minute
Comparisons 2 minutes
Boolean Operators 10 minutes
NoneType 1 minute
Lists, Tuples and Sets 10 minutes
Dictionaries 2 minutes
Classes and Objects 1 minute
Variable Types 2 minutes
From Binary Digits to Complex Data Types 2 minutes
Module 2 Summary 1 minute

1 assignment Total 15 minutes

Basic and Structured Data Types 15 minutes

1 discussion prompt Total 15 minutes

Module 2 Reflection 15 minutes

1 ungraded lab Total 60 minutes

Module 2 Exercise Solutions 60 minutes

What's included

2 videos16 readings1 assignment1 discussion prompt1 ungraded lab

2 videos Total 4 minutes

Introduction to Control Structures 2 minutes
Introduction to Functions 2 minutes

16 readings Total 114 minutes

The If Statement 10 minutes
The Elif Statement 10 minutes
The Else Statement 10 minutes
Nested Conditionals 10 minutes
For Loops 10 minutes
While Loops 10 minutes
Nested Loops 10 minutes
List Comprehension 5 minutes
Defining a Function 2 minutes
Calling a Function 3 minutes
Exiting a Function 15 minutes
Parameters 5 minutes
Side Effects 1 minute
Docstrings and Function Annotations 2 minutes
Module 3 Summary 1 minute
Future Steps 10 minutes

1 assignment Total 60 minutes

Conditionals, loops and functions 60 minutes

1 discussion prompt Total 15 minutes

Module 3 Reflection 15 minutes

1 ungraded lab Total 60 minutes

Module 3 Exercise Solutions 60 minutes

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.

Instructors

Instructor ratings

(10 ratings)

Dr Jonathan Ward

University of Leeds

2 Courses 5,267 learners

Offered by

University of Leeds

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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.

Reviewed on Oct 2, 2024

Good "taster" course... no technical/grading issues, very polished.

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