Python for Command-and-control, Exfiltration and Impact (Coursera)

Coursera

University of Illinois at Urbana-Champaign

Getting Started with CyberGIS (Coursera)

Statistics & Data Analysis Data Science

This course is intended to introduce students to CyberGIS—Geospatial Information Science and Systems (GIS)—based on advanced cyberinfrastructure as well as the state of the art in high-performance computing, big data, and cloud computing in the context of geospatial data science. Emphasis is placed on learning the cutting-edge advances of cyberGIS and its underlying geospatial data science principles.

Sep 28th 2026

4 Weeks

Big Data Geospatial Hadoop

Details

Coursera

Johns Hopkins University

Applied Calculus with Python (Coursera)

Statistics & Data Analysis Data Science

This course is designed for the Python programmer who wants to develop the foundations of Calculus to help solve challenging problems as well as the student of mathematics looking to learn the theory and numerical techniques of applied calculus implemented in Python. By the end of this course, you will have learned how to apply essential calculus concepts to develop robust Python applications that solve a variety of real-world challenges.

Sep 28th 2026

5-12 Weeks

Calculus Programming Python

Details

Coursera

Universidad de los Andes

Programación en Python (Coursera)

CS: Software Engineering Computer Science

¡Te damos la bienvenida al curso de Programación en Python de la Universidad de los Andes! El propósito de este curso es ofrecerte un ambiente interactivo para que desarrolles tus habilidades de pensamiento computacional, aprendas a programar en el lenguaje Python y te entrenes en la resolución de problemas utilizando un computador. La estrategia pedagógica empleada es el aprendizaje activo basado en casos.

Sep 28th 2026

4 Weeks

Programming Python Data Structures

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Coursera

Rice University

Algorithmic Thinking (Part 2) (Coursera)

CS: Theory

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Oct 5th 2026

4 Weeks

Python Computing Algorithms

Details

Coursera

Universidade de São Paulo, Brasil

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

CS: Software Engineering Computer Science

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.

Oct 5th 2026

5-12 Weeks

Python Computer Science Object-Oriented Programming

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Coursera

Rice University

An Introduction to Interactive Programming in Python (Part 2) (Coursera)

CS: Software Engineering CS: Programming

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple.

Oct 5th 2026

4 Weeks

Game Programming Python

Details

Coursera

University of Toronto

Learn to Program: Crafting Quality Code (Coursera)

CS: Software Engineering

Not all programs are created equal. In this course, we'll focus on writing quality code that runs correctly and efficiently. We'll design, code and validate our programs and learn how to compare programs that are addressing the same task.

Oct 5th 2026

5-12 Weeks

Programming Python Testing

Details

Coursera

Korea Advanced Institute of Science and Technology - KAIST

Practical Python for AI Coding 2 (Coursera)

CS: Software Engineering CS: Programming

This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users.

Sep 28th 2026

5-12 Weeks

Python Object-Oriented Programming Data Visualization

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Coursera

University of Edinburgh

Data Science in Stratified Healthcare and Precision Medicine (Coursera)

Health & Society Statistics & Data Analysis

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.

Oct 5th 2026

5-12 Weeks

Medicine Healthcare Machine Learning

Details

Coursera

Ludwig-Maximilians-Universität München

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

Engineering Computer Science

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.

Oct 5th 2026

5-12 Weeks

Computer Python Von Neumann Architecture

Details

Coursera

Rice University

Python Data Visualization (Coursera)

CS: Software Engineering CS: Programming

This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.

Oct 2nd 2026

4 Weeks

Programming Python Scripting

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Coursera

Korea Advanced Institute of Science and Technology - KAIST

Practical Python for AI Coding 1 (Coursera)

CS: Software Engineering CS: Programming

This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users.

Sep 28th 2026

5-12 Weeks

Python TensorFlow Python Programming

Details