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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-data-visualization-with-matplotlib-2x/
课程评论：没有评论
课程名称：Python 数据可视化与 Matplotlib 2.x 课程概述：大数据分析正在推动科学研究、数字营销、政策制定等领域的创新。Matplotlib 提供了简单但强大的绘图接口、多样的图表类型和稳健的自定义功能。《Matplotlib 2.x 实例解析》通过真实世界的例子展示了各种图表类型的使用方法和应用，课程首先介绍了如何使用 Matplotlib 创建和定制图表的基本知识。随后，课程将涵盖如何以 2D 和 3D 图表的形式绘制不同类型的经济数据，为从公共数据存储库（如 Quandl Finance）中获取的大量数据提供洞见。您将学习如何在地图上可视化地理数据并实现交互式图表。到课程结束时，您将熟练掌握 Matplotlib，以便在日常工作中进行高级数据可视化，帮助您为手稿和演示文稿准备高质量的图形，创建直观的信息图，并清晰传达您的信息。 课程作者：Aldrin Kay Yuen Yim 是华盛顿大学医学院计算与系统生物学的博士研究生。他在加入大学之前，研究主要集中在大数据分析和生物信息学，取得了多项重要发现。Allen Chi Shing Yu 博士是切文奖学者，正在牛津大学攻读计算机科学硕士学位，拥有香港中文大学的生物化学博士学位，拥有十年的生物信息学和大数据分析经验。Claire Yik Lok Chung 目前是香港中文大学的生物信息学博士生，热衷于科学研究，并在编程和图表制作方面拥有丰富的经验。
Big data analytics are driving innovations in scientific research, digital marketing, policy-making and much more. Matplotlib offers simple but powerful plotting interface, versatile plot types and robust customization.Matplotlib 2.x By Example illustrates the methods and applications of various plot types through real world examples. It begins by giving readers the basic know-how on how to create and customize plots by Matplotlib. It further covers how to plot different types of economic data in the form of 2D and 3D graphs, which give insights from a deluge of data from public repositories, such as Quandl Finance. You will learn to visualize geographical data on maps and implement interactive charts.By the end of this video, you will become well versed with Matplotlib in your day-to-day work to perform advanced data visualization. This video will help you prepare high quality figures for manuscripts and presentations. You will learn to create intuitive info-graphics and reshaping your message crisply understandable. About the Author: Aldrin Kay Yuen Yim is a PhD student in computational and system biology at Washington University School of Medicine. Before joining the university, his research primarily focused on big data analytics and bioinformatics, which led to multiple discoveries, including a novel major allergen class (designated as a Group 24th Major allergen by WHO/IUIS Allergen Nomenclature subcommittee) through a multi-omic approach analysis of dust mites (JACI 2015), as well as the identification of the salt-tolerance gene in soybeans through large-scale genomic analysis (Nat. Comm. 2014). He also loves to explore sci-fi ideas and put them into practice, such as the development of a DNA-based information storage system (iGEM 2010, Frontiers in Bioengineering and Biotechnology 2014). Aldrin's current research interest focuses on neuro-development and diseases, such as exploring the heterogeneity of cell types within the nervous system, as well as gender dimorphism in brain cancers (JCI Insight 2017). Aldrin is also the founding CEO of Codex Genetics Limited, which is currently servicing two research hospitals and the cancer registry of Hong Kong. Allen Chi Shing Yu, PhD, is a Chevening Scholar, 2017-18, and an MSc student in computer science at the University of Oxford. He holds a PhD degree in Biochemistry from the Chinese University of Hong Kong, and he has used Python and Matplotlib extensively during his 10 years' experience in the field of bioinformatics and big data analysis. During his research career, Allen has published 12 international scientific research articles and presented at four international conferences, including on-stage presentations at the Congress On the Future of Engineering Software (COFES) 2011, USA, and Genome Informatics 2014, UK. Other research highlights include discovering the novel subtype of Spinocerebellar ataxia (SCA40), identifying the cause of pathogenesis for a family with Spastic paraparesis, leading the gold medalist team in 2011 International Genetically Engineered Machine (iGEM) competition, and co-developing a number of cancer genomics project. Apart from academic research, Allen is also the co-founder of Codex Genetics Limited, which aims to provide personalized medicine services in Asia through the use of the latest genomics technology. With financial and business support from the HKSAR Innovation and Technology Commission, Hong Kong Science Park, and the Chinese University of Hong Kong, Codex Genetics has curated and transformed recent advances in cancer and neuro-genomics research into clinically actionable insights. Claire Yik Lok Chung is now a PhD student at the Chinese University of Hong Kong working on Bioinformatics, after receiving her BSc degree in Cell and Molecular Biology. With her passion for scientific research, she joined three labs during her college study, including the synthetic biology lab at the University of Edinburgh. Her current projects include soybean genomic analysis using optical mapping and the next-generation sequencing of data. Claire started programming 10 years ago, and uses Python and Matplotlib daily to tackle Bioinformatics problems and to bring convenience to life. Being interested in information technology in general, she leads the Campus Network Support Team in college and is constantly keeping up with the latest technological trends by participating in PyCon HK 2016. She is motivated to acquire new skills through self-learning and is keen to share her knowledge and experience. In addition to science, she has developed skills in multilingual translation and graphic design, and found these transferable skills useful at work.
