Coursera

Programação para todos (Conceitos básicos de Python) (Coursera)

Offered by University of Michigan,

Este curso tem como objetivo ensinar a todos os conceitos básicos de programação de computadores usando Python. Abordamos o básico de como criar um programa a partir de uma série de instruções simples em Python. O curso não tem pré-requisitos e evita tudo, exceto a matemática mais simples. Qualquer pessoa com experiência moderada em computadores deve ser capaz de dominar os materiais deste curso. Este curso abordará os capítulos 1 ao 5 do livro “Python para Todos”.

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

Assim que o aluno concluir este curso, estará preparado para fazer cursos de programação mais avançados. Este curso aborda o Python 3.
What You Will Learn

Instalar o Python e escrever seu primeiro programa
Descrever os conceitos básicos da linguagem de programação Python
Utilizar variáveis para guardar, recuperar e calcular informações
Utilizar as principais ferramentas de programação, como funções e repetições

Syllabus

WEEK 1
Capítulo Um – Por que programamos?
Estes são os materiais para todo o curso, bem como a primeira parte do Capítulo Um, onde exploramos o que significa escrever programas. Finalizamos o Capítulo Um com um teste e a primeira tarefa na terceira semana de aula. Ao longo do curso, você pode voltar e revisar esses materiais. Esta seção não deve levar uma semana inteira.

WEEK 2
Como instalar e usar o Python
Neste módulo, você configurará tudo para começar a escrever programas em Python. Nem todas as atividades deste módulo são necessárias para esta aula, portanto, leia o material “Como usar o Python nesta aula” para obter detalhes.

WEEK 3
Capítulo Um: Por que programamos? (continuação)
No primeiro capítulo, tentamos abordar o “quadro geral” da programação para obter um “sumário” do resto do livro. Não se preocupe se nem tudo fizer sentido na primeira vez. Este capítulo é bastante amplo e você se beneficiará com a leitura do capítulo do livro, além de assistir às palestras para ajudá-lo a assimilar tudo. Você pode voltar e assistir novamente a essas palestras após finalizar mais alguns capítulos.

WEEK 4
Capítulo Dois: Variáveis e expressões
Neste capítulo, abordamos como um programa usa a memória do computador para armazenar, recuperar e calcular informações.

WEEK 5
Capítulo Três: Código condicional
Nesta seção, passamos do código sequencial que simplesmente executa uma linha de código após a outra para o código condicional, onde algumas etapas são ignoradas. É um conceito muito simples, mas é como o software de computador faz “escolhas”.

WEEK 6
Capítulo Quatro: Funções
Este é um capítulo relativamente curto. Aprenderemos sobre as funções e como podemos usá-las. Os programas nos primeiros capítulos do livro não são grandes o suficiente para exigir o desenvolvimento de funções, mas à medida que o livro avança para programas cada vez mais complexos, as funções serão uma forma essencial de compreendermos nosso código.

WEEK 7
Capítulo Cinco: Repetições e iteração
Repetições e iteração completam nossos quatro padrões básicos de programação. Repetições são a maneira como dizemos ao Python para fazer algo repetidamente. Repetições são a maneira como criamos programas que permanecem com um problema até que ele seja resolvido.

Go to Class

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

Related Courses

Coursera

University of Washington

Machine Learning Foundations: A Case Study Approach (Coursera)

Statistics & Data Analysis Data Science

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 8th 2026

5-12 Weeks

Python Machine Learning Clustering

Coursera

University of Illinois at Urbana-Champaign

Cloud Computing Concepts, Part 1 (Coursera)

CS: Theory CS: Information & Technology

Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies—all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing. Some of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more!

Jun 8th 2026

5-12 Weeks

Programming Cloud Algorithms

Coursera

University of California, Irvine

The Arduino Platform and C Programming (Coursera)

CS: Software Engineering

The Arduino is an open-source computer hardware/software platform for building digital devices and interactive objects that can sense and control the physical world around them. In this class you will learn how the Arduino platform works in terms of the physical board and libraries and the IDE (integrated development environment). You will also learn about shields, which are smaller boards that plug into the main Arduino board to perform other functions such as sensing light, heat, GPS tracking, or providing a user interface display. The course will also cover programming the Arduino using C code and accessing the pins on the board via the software to control external devices.

Jun 8th 2026

4 Weeks

Programming Debugging Arduino

Coursera

Shanghai Jiao Tong University

Discrete Mathematics (Coursera)

Sci: Mathematics

Discrete mathematics forms the mathematical foundation of computer and information science. It is also a fascinating subject in itself. Learners will become familiar with a broad range of mathematical objects like sets, functions, relations, graphs, that are omnipresent in computer science. Perhaps more importantly, they will reach a certain level of mathematical maturity - being able to understand formal statements and their proofs; coming up with rigorous proofs themselves; and coming up with interesting results.

Jun 8th 2026

5-12 Weeks

Math Combinatorics Discrete Mathematics

Coursera

IBM

Python for Data Science, AI & Development (Coursera)

CS: Programming Data Science

Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.

Jun 9th 2026

5-12 Weeks

Programming Python Artificial Intelligence

Coursera

University of Washington

Data Manipulation at Scale: Systems and Algorithms (Coursera)

Statistics & Data Analysis Data Science

Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.

Jun 8th 2026

4 Weeks

Algebra Algorithms Databases

Coursera

University of California, Irvine

Interfacing with the Raspberry Pi (Coursera)

CS: Software Engineering Engineering

The Raspberry Pi uses a variety of input/output devices based on protocols such as HDMI, USB, and Ethernet to communicate with the outside world. In this class you will learn how to use these protocols with other external devices (sensors, motors, GPS, orientation, LCD screens etc.) to get your IoT device to interact with the real world.

Jun 8th 2026

4 Weeks

Programming Protocols APIs

Coursera

University of California, Irvine

Interfacing with the Arduino (Coursera)

Engineering Eng: Electronics

Arduino senses the environment by receiving inputs from add-on devices such as sensors, and can control the world around it by adjusting lights, motors, and other actuators. In this class you will learn how and when to use the different types of sensors and how to connect them to the Arduino. Since the external world uses continuous or analog signals and the hardware is digital you will learn how these signals are converted back-and-forth and how this must be considered as you program your device. You'll also learn about the use of Arduino-specific shields and the shields software libraries to interface with the real world.

Jun 8th 2026

4 Weeks

Programming Software Hardware

Coursera

University of California, San Diego

Data Structures and Performance (Coursera)

CS: Theory Data Science

How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets. Efficiency is critical, but how do we achieve it, and how do we even measure it? This is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the first course in this specialization (which also requires some previous experience with Java).

Jun 8th 2026

5-12 Weeks

Programming Java Algorithms

Coursera

University of California, San Diego

Advanced Data Structures in Java (Coursera)

CS: Programming Computer Science

How does Google Maps plan the best route for getting around town given current traffic conditions? How does an internet router forward packets of network traffic to minimize delay? How does an aid group allocate resources to its affiliated local partners? To solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data.

Jun 8th 2026

5-12 Weeks

Programming Java Algorithms

Coursera

University of Maryland, College Park

Programming Mobile Applications for Android Handheld Systems: Part 1 (Coursera)

CS: Software Engineering CS: Programming

This course introduces you to the design and implementation of Android applications for mobile devices. You will develop an app from scratch, assuming a basic knowledge of Java, and learn how to set up Android Studio, work with various Activities and create simple user interfaces to make your apps run smoothly.

Jun 8th 2026

5-12 Weeks

Programming Mobile Applications Android Apps

Coursera

Google

Crash Course on Python (Coursera)

CS: Information & Technology Computer Science

This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you'll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem.

Jun 9th 2026

5-12 Weeks

Python Data Structures Object-Oriented Programming