Programming for Data Science (Coursera)

Offered by University of Leeds,
Programming for Data Science (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introdução à Ciência da Computação com Python Parte 2 (Coursera) Coursera
Universidade de São Paulo, Brasil

Introdução à Ciência da Computação com Python Parte 2 (Coursera)

Bem vindo ao curso de Introdução à Ciência da Computação destinado aos alunos regulares da Universidade de São Paulo! Esta é a segunda parte do Curso, onde você vai continuar a aprender os principais conceitos introdutórios de Ciência da Computação e também aprenderá a desenvolver pequenos programas na linguagem Python.

Aug 10th 2026
5-12 Weeks
Materials Data Sciences and Informatics (Coursera) Coursera
Georgia Institute of Technology

Materials Data Sciences and Informatics (Coursera)

This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts.

Aug 10th 2026
5-12 Weeks
Computer Science: Programming with a Purpose (Coursera) Coursera
Princeton University

Computer Science: Programming with a Purpose (Coursera)

The basis for education in the last millennium was “reading, writing, and arithmetic;” now it is reading, writing, and computing. Learning to program is an essential part of the education of every student, not just in the sciences and engineering, but in the arts, social sciences, and humanities, as well. Beyond direct applications, it is the first step in understanding the nature of computer science’s undeniable impact on the modern world.

Aug 10th 2026
5-12 Weeks
Estruturas de dados Python (Coursera) Coursera
University of Michigan

Estruturas de dados Python (Coursera)

Este curso apresentará as estruturas de dados centrais da linguagem de programação Python. Vamos superar os fundamentos da programação de procedimentos e explorar como podemos usar as estruturas de dados integradas do Python, como listas, dicionários e tuplas, para realizar análises de dados cada vez mais complexas. Este curso cobrirá os capítulos 6 a 10 do livro “Python para Todos”. Este curso aborda o Python 3.

Aug 10th 2026
5-12 Weeks
Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python (Coursera) Coursera
Ludwig-Maximilians-Universität München

Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python (Coursera)

Interested in learning how to solve partial differential equations with numerical methods and how to turn them into python codes? This course provides you with a basic introduction how to apply methods like the finite-difference method, the pseudospectral method, the linear and spectral element method to the 1D (or 2D) scalar wave equation.

Aug 10th 2026
5-12 Weeks
Ferramentas para Ciência de Dados: Introdução ao R (Coursera) Coursera
FIA Business School

Ferramentas para Ciência de Dados: Introdução ao R (Coursera)

Nossas boas-vindas ao Curso Ferramentas para Ciência de Dados: Introdução ao R. Neste curso, você aprenderá que o mundo evoluiu muito quando o assunto é tomada de decisão baseada em dados e já não é possível comparar a quantidade de informações a que temos acesso atualmente com o que tínhamos disponíveis décadas atrás.

Aug 10th 2026
4 Weeks
Foundations of Data Science: K-Means Clustering in Python (Coursera) Coursera
University of London,Goldsmiths, University of London

Foundations of Data Science: K-Means Clustering in Python (Coursera)

This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks.

Aug 10th 2026
5-12 Weeks
Applied Plotting, Charting & Data Representation in Python (Coursera) Coursera
University of Michigan

Applied Plotting, Charting & Data Representation in Python (Coursera)

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework.

Aug 10th 2026
4 Weeks
Functional Program Design in Scala (Scala 2 version) (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Functional Program Design in Scala (Scala 2 version) (Coursera)

In this course you will learn how to apply the functional programming style in the design of larger Scala applications. You'll get to know important new functional programming concepts, from lazy evaluation to structuring your libraries using monads. We'll work on larger and more involved examples, from state space exploration to random testing to discrete circuit simulators. You’ll also learn some best practices on how to write good Scala code in the real world. Finally, you will learn how to leverage the ability of the compiler to infer values from types.

Aug 10th 2026
5-12 Weeks
The Fundamental of Data-Driven Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

The Fundamental of Data-Driven Investment (Coursera)

In this course, the instructor will discuss the fundamental analysis of investment using R programming. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to do the elemental analysis for investment management that you might need to do in your job every day. Additionally, the study note to do using Python programming will be provided.

Aug 10th 2026
4 Weeks
Parallel programming (Scala 2 version) (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Parallel programming (Scala 2 version) (Coursera)

With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. We'll start the nuts and bolts how to effectively parallelize familiar collections operations, and we'll build up to parallel collections, a production-ready data parallel collections library available in the Scala standard library.

Aug 10th 2026
4 Weeks
Data Science in Stratified Healthcare and Precision Medicine (Coursera) Coursera
University of Edinburgh

Data Science in Stratified Healthcare and Precision Medicine (Coursera)

An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine.

Aug 10th 2026
5-12 Weeks