Open Educational Resources | Pao Yue-kong Library, The Hong Kong Polytechnic University

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freeCodeCamp - Data Analysis with Python

In these comprehensive video courses, created by Santiago Basulto, you will learn the whole process of data analysis. You'll be reading data from multiple sources (CSV, SQL, Excel), process that data using NumPy and Pandas, and visualize it using Matplotlib and Seaborn, Additionally, we've included a thorough Jupyter Notebook course, and a quick Python reference to refresh your programming skills.

Course related:: AMA1600 Fundamentals of AI and Data Analytics and AMA1751 Linear Algebra
Subjects:: Mathematics and Statistics and Computing
Keywords:: Computer programming Computer science Python (Computer program language)
Resource Type:: Others

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freeCodeCamp

freeCodeCamp is a proven path to your first software developer job. More than 40,000 people have gotten developer jobs after completing this – including at big companies like Google and Microsoft. If you are new to programming, we recommend you start at the beginning and earn these certifications in order. To earn each certification, build its 5 required projects and get all their tests to pass.You can add these certifications to your résumé or LinkedIn. But more important than the certifications is the practice you get along the way.If you feel overwhelmed, that is normal. Programming is hard. Practice is the key. Practice, practice, practice. And this curriculum will give you thousands of hours of hands-on programming practice. And if you want to learn more math and computer science theory, we also have thousands of hours of video courses on freeCodeCamp's YouTube channel. If you want to get a developer job or freelance clients, programming skills will be just part of the puzzle. You also need to build your personal network and your reputation as a developer. You can do this on Twitter and GitHub, and also on the freeCodeCamp forum. Happy coding.

Subjects:: Computing
Keywords:: Computer programming Programming languages (Electronic computers) Coding theory
Resource Type:: Others

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W3School

W3Schools is optimized for learning, testing, and training. Examples might be simplified to improve reading and basic understanding. Tutorials, references, and examples are constantly reviewed to avoid errors, but we cannot warrant full correctness of all content.

Subjects:: Computing
Keywords:: Web publishing Web site development Web sites -- Design
Resource Type:: Others

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Scikit-learn

Scikit Learn provide simple and efficient tools for predictive data analysis. Assessible to everybody, and reusable in various contexts. It built on NumPy, SciPy, and matplotlib. It is open sources, commercially usable under the BSD License.

Subjects:: Computing
Keywords:: Python (Computer program language)
Resource Type:: Others

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Scikit Learn - User Guide

This project was started in 2007 as a Google Summer of Code project by David Cournapeau. Later that year, Matthieu Brucher started work on this project as part of his thesis. In 2010 Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort and Vincent Michel of INRIA took leadership of the project and made the first public release, February the 1st 2010. Since then, several releases have appeared following a ~ 3-month cycle, and a thriving international community has been leading the development.

Course related:: EIE6207 Theoretical Fundamental and Engineering Approaches for Intelligent Signal and Information Processing
Subjects:: Computing
Keywords:: Machine learning Python (Computer program language)
Resource Type:: Others

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SPSS Tutorial

SPSS means “Statistical Package for the Social Sciences” and was first launched in 1968. Since SPSS was acquired by IBM in 2009, it's officially known as IBM SPSS Statistics but most users still just refer to it as “SPSS”. SPSS is software for editing and analyzing all sorts of data. These data may come from basically any source: scientific research, a customer database, Google Analytics or even the server log files of a website.

Keywords:: Statistics -- Data processing Statistics SPSS (Computer file)
Resource Type:: Others

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Runoob.com

菜鸟教程的 Slogan 为：学的不仅是技术，更是梦想！我们相信：再牛逼的梦想也抵不住傻逼似的坚持！我们坚持一件事情，并不是因为这样做了会有效果，而是坚信，这样做是对的。本站域名为 runoob.com, runoob 为 Running Noob 的缩写，意为：奔跑的菜鸟。本站包括了HTML、CSS、Javascript、PHP、C、Python等各种基础编程教程。同时本站中也提供了大量的在线实例，通过实例，您可以更好地学习如何建站。本站致力于推广各种编程语言技术，所有资源是完全免费的，并且会根据当前互联网的变化实时更新本站内容。

Subjects:: Computing
Keywords:: Programming languages (Electronic computers) Computer programming
Resource Type:: Others

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Python For Beginners

Welcome! Are you completely new to programming? If not then we presume you will be looking for information about why and how to get started with Python. Fortunately an experienced programmer in any programming language (whatever it may be) can pick up Python very quickly. It's also easy for beginners to use and learn, so jump in!