CS50's Introduction to Programming with Python (edX)

EdX

University of California, San Diego,UC San DiegoX

Probability and Statistics in Data Science using Python (edX)

Statistics & Data Analysis CS: Programming

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning.

Self Paced

Self-Paced

Programming Python Statistics

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EdX

University of California, San Diego,UC San DiegoX

Python for Data Science (edX)

Statistics & Data Analysis CS: Programming

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek?

Self Paced

Self-Paced

Programming Python Machine Learning

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EdX

Universidad Autonoma de Madrid

Introducción al desarrollo de aplicaciones web (edX)

Engineering Computer Science

Aprende a desarrollar una aplicación web desde cero con diferentes tecnologías como HTML, CSS, Python, JSON, JavaScript y Ajax. Hoy en día utilizamos la web para todo tipo de tareas: buscar un vuelo, comprar entradas, ver el pronóstico meteorológico, leer noticias, etc. Todo esto es posible gracias a las aplicaciones web creadas para darnos estos servicios.

Self Paced

Self-Paced

Python HTML Javascript

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EdX

École Polytechnique Fédérale de Lausanne,EPFLx

MATLAB et Octave pour débutants (edX)

CS: Software Engineering CS: Programming

Premiers pas dans MATLAB et Octave avec un regard vers le calcul scientifique. Commencer à utiliser un logiciel est toujours délicat, on ne sait jamais par où commencer. Dans ce cours nous allons nous concentrer sur la maîtrise d’Octave et MATLAB, de façon à pouvoir par la suite continuer à apprendre de manière indépendante.

Self Paced

Self-Paced

Programming MATLAB Octave

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EdX

University of Adelaide,AdelaideX

Programming for Data Science (edX)

CS: Programming Data Science

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems. There is a rising demand for people with the skills to work with Big Data sets and this course can start you on your journey through our Big Data MicroMasters program towards a recognised credential in this highly competitive area. Using practical activities you will learn how digital technologies work and will develop your coding skills through engaging and collaborative assignments.

Self Paced

Self-Paced

Programming Big Data Data Analysis

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EdX

University of Michigan,MichiganX

Python Data Structures (edX)

CS: Programming

The second course in Python for Everybody explores variables that contain collections of data like string, lists, dictionaries, and tuples. Learning how to store and represent and manipulate data collections while a program is running is an important part of learning how to program.

Self Paced

Self-Paced

Programming Python Data Structures

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EdX

University of Texas at Austin,UTAustinX

LAFF – On Programming for Correctness (edX)

CS: Software Engineering Sci: Mathematics

Learn to apply formal methods to systematically develop correct, loop-based programs, an essential skill for computer programmers. Is my program correct? Will it give the right output for all possible permitted inputs? Computers are now essential in everyday life. Incorrect programs lead to frustration in the best case and disaster in the worst. Thus, knowing how to construct correct programs is a skill that all who program computers must strive to master.

Self Paced

Self-Paced

Programming Correctness LAFF

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EdX

HarvardX,Harvard University

CS50's Introduction to Computer Science (edX)

CS: Programming Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming. This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50 teaches students how to think algorithmically and solve problems efficiently.

Self Paced

Self-Paced

Programming Python C

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EdX

HarvardX,Harvard University

CS50's Introduction to Artificial Intelligence with Python (edX)

Robotics & Computer Vision

Learn to use machine learning in Python in this introductory course on artificial intelligence. AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.

Self Paced

Self-Paced

Python Artificial Intelligence Machine Learning

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EdX

Georgia Institute of Technology,GTx

Computing in Python I: Fundamentals and Procedural Programming (edX)

CS: Programming

Learn the fundamentals of computing in Python, including variables, operators, and writing and debugging your own programs. This course starts from the beginning, covering the basics of how a computer interprets lines of code; how to write programs, evaluate their output, and revise the code itself; how to work with variables and their changing values; and how to use mathematical, boolean, and relational operators.

Self Paced

Self-Paced

Programming Python Computing

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EdX

The University of British Columbia,UBCx

How to Code: Complex Data (edX)

CS: Software Engineering Data Science

Learn how to design more complex programs, using new data structures, abstraction, and generative recursion. As your program requirements get more complex, you will find that simple additions to the design method make it easy to write well-structured and well-tested code that is easy to maintain. By learning how to capture common data and control structures using abstraction, your programs will get shorter and better tested.

Self Paced

Self-Paced

Programming Data Structures Software Development

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EdX

IBM

Data Science and Machine Learning Capstone Project (edX)

Statistics & Data Analysis Data Science

Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model. Now that you've taken several courses on data science and machine learning, it’s time to put your learning to work on a data problem involving a real life scenario. Employers really care about how well you can apply your knowledge and skills to solve real world problems, and the work you do in this capstone project will make you stand out in the job market.

Self Paced

Self-Paced

Python Machine Learning Data Science

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