Python Data Representations (Coursera)

Offered by Rice University,
Python Data Representations (Coursera)

This course will continue the introduction to Python programming that started with Python Programming Essentials. We'll learn about different data representations, including strings, lists, and tuples, that form the core of all Python programs. We will also teach you how to access files, which will allow you to store and retrieve data within your programs. These concepts and skills will help you to manipulate data and write more complex Python programs.

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

By the end of the course, you will be able to write Python programs that can manipulate data stored in files. This will extend your Python programming expertise, enabling you to write a wide range of scripts using Python.
This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course introduces basic desktop Python development environments, allowing you to run Python programs directly on your computer. This choice enables a smooth transition from online development environments.

Course 2 of 4 in the Introduction to Scripting in Python Specialization

Syllabus

WEEK 1
Strings
This module will teach you about Python's string data type and its capabilities. Strings are used to represent text within programs.

WEEK 2
Basics of Lists
This module will teach you the basics of Python's list data type. Lists are used to hold a sequence of data within programs.

WEEK 3
List Manipulation
This module will dive further into the use of lists. You will learn how about mutating the contents of a list and the implications of doing so.

WEEK 4
File Access
This module will teach you how to access files in Python.

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

Related Courses

Java Programming: Arrays, Lists, and Structured Data (Coursera) Coursera
Duke University

Java Programming: Arrays, Lists, and Structured Data (Coursera)

Build on the software engineering skills you learned in “Java Programming: Solving Problems with Software” by learning new data structures. Use these data structures to build more complex programs that use Java’s object-oriented features. At the end of the course you will write an encryption program and a program to break your encryption algorithm.

Jun 1st 2026
4 Weeks
Java程序设计 (Coursera) Coursera
Peking University

Java程序设计 (Coursera)

《Java程序设计》课程是使用Java语言进行应用程序设计的课程,针对各专业的大学本科生开设。课程的主要目标有三: 一、掌握Java语言的语法,能够较为深入理解Java语言机制,掌握Java语言面向对象的特点。 二、掌握JavaSE中基本的API,掌握在集合、线程、输入输出、图形用户界面、网络等方面的应用。三、能够编写有一定规模的应用程序,养成良好的编程习惯,会使用重构、设计模式、单元测试、日志、质量管理工具提高代码的质量。 对于学过“计算机基础、计算概论或C语言的学生”尤为适用。

Jun 1st 2026
5-12 Weeks
Database Management Essentials (Coursera) Coursera
University of Colorado System

Database Management Essentials (Coursera)

Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy.

Jun 1st 2026
5-12 Weeks
Programando con Java para aplicaciones Android (Coursera) Coursera
Universidad Nacional Autónoma de México

Programando con Java para aplicaciones Android (Coursera)

¡Aprende lo mejor de Java para el desarrollo en Android! Descubre lo necesario para construir tus aplicaciones móviles de una forma sencilla, objetiva y práctica. A lo largo del curso, verás diversos ejemplos para crear tu primer Hola Mundo y practicarás la programación orientada a objetos.

Jun 1st 2026
3 Weeks
Python Project for Data Science (Coursera) Coursera
IBM

Python Project for Data Science (Coursera)

This mini-course is intended to for you to demonstrate foundational Python skills for working with data. The completion of this course involves working on a hands-on project where you will develop a simple dashboard using Python. This course is part of the IBM Data Science Professional Certificate and the IBM Data Analytics Professional Certificate.

Jun 4th 2026
1 Week
The R Programming Environment (Coursera) Coursera
Johns Hopkins University

The R Programming Environment (Coursera)

This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings.

Jun 1st 2026
4 Weeks
Internet of Things: Setting Up Your DragonBoard™ Development Platform (Coursera) Coursera
University of California, San Diego

Internet of Things: Setting Up Your DragonBoard™ Development Platform (Coursera)

Do you want to develop skills to prototype mobile-enabled products using state-of-the-art technologies? In this course you will build a hardware and software development environment to guide your journey through the Internet of Things specialization courses. We will use the DragonBoard™ 410c single board computer (SBC).

Jun 1st 2026
5-12 Weeks
Algorithms on Strings (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Algorithms on Strings (Coursera)

World and internet is full of textual information. We search for information using textual queries, we read websites, books, e-mails. All those are strings from the point of view of computer science. To make sense of all that information and make search efficient, search engines use many string algorithms. Moreover, the emerging field of personalized medicine uses many search algorithms to find disease-causing mutations in the human genome.

Jun 1st 2026
4 Weeks
Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists (Coursera) Coursera
University of California, San Diego

Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists (Coursera)

How do gamers cause things to happen when they hit buttons on their controller? How does the computer keep track of gamer's scores? This class teaches the concepts of nested loops, events, and variables. For each concept, we'll start by helping you connect real-world experiences you are already familiar with to the programming concept you are about to learn. Next, through a cognitively scaffolded process we'll engage you in developing your fluency with problem solving with nested loops, events, and variables in a way that keeps frustration at a minimum.

Jun 3rd 2026
5-12 Weeks
Machine Learning for Data Analysis (Coursera) Coursera
Wesleyan University

Machine Learning for Data Analysis (Coursera)

Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.

Jun 1st 2026
4 Weeks
Machine Learning Foundations: A Case Study Approach (Coursera) Coursera
University of Washington

Machine Learning Foundations: A Case Study Approach (Coursera)

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies.

Jun 1st 2026
5-12 Weeks
Mastering the Software Engineering Interview (Coursera) Coursera
University of California, San Diego

Mastering the Software Engineering Interview (Coursera)

You’ve hit a major milestone as a computer scientist and are becoming a capable programmer. You now know how to solve problems, write algorithms, and analyze solutions; and you have a wealth of tools (like data structures) at your disposal. You may now be ready for an internship or (possibly) an entry-level software engineering job. But can you land the internship/job? It depends in part on how well you can solve new technical problems and communicate during interviews. How can you get better at this? Practice!

Jun 1st 2026
4 Weeks