YouTube is not only a multimedia amusement empire but also a comprehensive learning platform. You do not have to pay a single penny as a monthly subscription fee to see videos over Youtube. All are free for you to watch and learn, and that is the greatest thing. You just have to pay your precious time to watch your favourite videos.
YouTube不仅是一个多媒体娱乐帝国，还是一个全面的学习平台。 您无需每月支付一分钱的订阅费即可在YouTube上观看视频。 所有这些都是免费的，供您观看和学习，这是最伟大的事情。 您只需要付出宝贵的时间来观看自己喜欢的视频。
You must realize how to use it with wisdom and consideration. Make sure you watch videos that are beneficial to you and bring value to your life.
您必须意识到如何明智地使用它。 确保您观看对您有益并带给您生活价值的视频。
The world of data science is expanding and plays a significant role in our lives and our society. So, rather than reading books, watch and learn through YouTube videos. It’s said that a person learns more quickly through a video than through a book.
数据科学的世界正在扩展，并在我们的生活和社会中发挥重要作用。 因此，与其看书，不如观看和学习YouTube视频。 有人说，通过视频学习比通过书本学习更快。
Data science online courses flood the internet at dubious prices. Most of them are not efficient and are merely marketing strategies.
数据科学在线课程以可疑的价格淹没了互联网。 其中大多数效率不高，仅是营销策略。
In this article, I have listed the ten best YouTube channels you should subscribe to in 2020. Learn more about programming, machine learning, AI, data science, and more. Subscribe to these YouTubers and gain insight and advice from their several years of real-world experience.
在本文中，我列出了您应该在2020年订阅的十个最佳YouTube频道。了解有关编程，机器学习，人工智能，数据科学等的更多信息。 订阅这些YouTuber，并从他们几年的实际经验中获取见识和建议。
StatQuest was begun by Joshua Starmer to explain statistics to his former colleagues. On May 24, 2011, he joined YouTube and now has 328K subscribers. This is one of the best channels for learning data science as it instructs you to be smarter and understand statistics and machine learning better.
StatQuest由约书亚· 史塔默 (Joshua Starmer)开始，向他的前同事解释统计数据。 2011年5月24日，他加入YouTube，目前拥有32.8万订阅者。 这是学习数据科学的最佳途径之一，因为它可以指导您变得更聪明，更好地了解统计信息和机器学习。
Statistics, machine learning, and data science may often seem quite challenging. Still, since every method is just a mixture of small and simple steps, it could be effortless to understand. He, therefore, removed the terminology and illustrated the concepts with images. His goal with StatQuest is to divide the key techniques into easy bits. Consequently, it’s easier to understand significant methodologies. This channel contains 180 such videos.
统计，机器学习和数据科学似乎常常具有挑战性。 但是，由于每种方法只是小步骤和简单步骤的组合，因此可能不费吹灰之力即可理解。 因此，他删除了术语，并用图像说明了概念。 他使用StatQuest的目标是将关键技术分为简单的部分。 因此，更容易理解重要的方法。 该频道包含180个此类视频。
My preferred playlist: Machine Learning
我首选的播放列表： 机器学习
Website: https://statquest.org
网站： https ： //statquest.org
On June 01, 2006, Corey Schafer joined YouTube. He has now 618K subscribers with 44M views. The channel covers topics for all different skill levels, so if you’re a beginner or have several years of experience, it will have something for you.
2006年6月1日， Corey Schafer加入了YouTube。 他现在拥有618K订户，观看次数为4400万。 该频道涵盖了所有不同技能水平的主题，因此，如果您是初学者或有几年经验，它将为您提供帮助。
The channel has already posted a broad range of videos covering the following topics: Python, Git, programming environments, Terminal commands, SQL, programming words, JavaScript, computer science foundations, and several other tips and tricks to aid you in your career.
该频道已经发布了涵盖以下主题的广泛视频：Python，Git，编程环境，终端命令，SQL，编程词，JavaScript，计算机科学基础，以及其他一些有助于您职业发展的技巧。
My preferred playlist: Python OOP Tutorials — Working with Classes
我首选的播放列表： Python OOP教程-使用类
Website: https://coreyms.com/
网站： https ： //coreyms.com/
Since December 17, 2012, Sentdex has been with us with 947K subscribers. Sentdex has ~1000 video and text-based tutorials. Harrison Kinsley owns the platform. Harrison Kinsley is a founder of several organizations that use the programming language of Python.
自2012年12月17日以来， Sentdex已与我们合作，拥有947K订户。 Sentdex拥有约1000个基于视频和文本的教程。 哈里森·金斯利(Harrison Kinsley)拥有该平台。 Harrison Kinsley是使用Python编程语言的多个组织的创始人。
It provides some of the best programming material for Python. He has developed tutorials for machine learning, deep analysis, facial recognition, and improving education for aspiring data scientists. A thousand Python programming tutorials on various topics, such as web development, data analysis, robotics, game production, finance, machine learning, and a bunch more are available at his website pythonprogramming.net. He thinks that programming is a powerful catalyst, and one of the essential things in his life is the social effect of making programming education readily available to everyone.
它为Python提供了一些最佳的编程材料。 他为有抱负的数据科学家开发了机器学习，深度分析，面部识别和改进教育的教程。 在他的网站pythonprogramming.net上可以找到有关Web开发，数据分析，机器人技术，游戏制作， 金融 ，机器学习等各种主题的一千篇Python编程教程。 他认为编程是一种强大的催化剂，他一生中最重要的事情之一就是使所有人都能接受编程教育的社会影响。
My preferred playlist: Machine Learning with Python
我首选的播放列表： Python机器学习
freeCodeCamp is an open source community of hectic learners who learn how to code and develop non-profit projects. It was started by Quincy Larson, a software developer who took post-graduate programming. He has created thousands of engaging coding tutorials and videos and makes all of them publicly accessible. There are thousands of freeCodeCamp study groups worldwide.
freeCodeCamp 是一个忙碌的学习者的开源社区，他们学习如何编码和开发非营利项目。 它由从事研究生编程的软件开发人员Quincy Larson发起。 他创建了成千上万的引人入胜的编码教程和视频，并将其全部公开提供。 有成千上万freeCodeCamp研究S组全世界。
Since it joined YouTube on December 17, 2014, the channel has now 2.44M subscribers. It has videos on Python tutorials, data analysis with Python, machine learning, deep learning, and JavaScript tutorials.
自2014年12月17日加入YouTube以来，该频道已有244万订阅者。 它包含有关Python教程，使用Python进行数据分析，机器学习，深度学习和JavaScript教程的视频。
My preferred playlist: Python Basics with Sam
我首选的播放列表： Sam的Python基础
Website: https://www.freecodecamp.org/
网站： https ： //www.freecodecamp.org/
3blue1brown, or 3b1b, from Grant Sanderson, is, based on your state of mind, a perfect blend of math and entertainment. The aim is to offer animated explanations and to simplify complicated problems with changes of perspective. He investigated mathematics at Stanford, including a decent touch of computer science education. Ever since, his work has been pointing towards software engineering/data science, but the true passion for math ultimately won.
Grant Sanderson的3blue1brown或3b1b，根据您的心态，是数学与娱乐的完美结合。 目的是提供生动的解释，并通过改变视角简化复杂的问题。 他在斯坦福大学研究数学，包括对计算机科学教育的体会。 从那时起，他的工作一直指向软件工程/数据科学，但最终获得了对数学的真正热情。
With a target in mind for the project, he created and uploaded a video to YouTube with the library. Grant provides a core image, and then the plot revolves around it. It sees issues from a new, unorthodox perspective. 3Blue1Brown launched on March 04, 2015, and has 3.05M subscribers. The channel has now released over 100 episodes.
考虑到该项目的目标，他创建了一个视频并将其与库一起上传到YouTube。 格randint提供了一个核心形象，然后情节围绕它展开。 它从新的，非传统的角度看待问题。 3Blue1Brown于2015年3月4日推出，拥有305万订户。 该频道现已发行超过100集。
His videos address the topics that people look for, such as linear algebra, neural networks, calculus, transformations in Fourier, bitcoin math, quantum mechanics, etc.
他的视频讲述了人们寻找的主题，例如线性代数，神经网络，微积分，傅立叶变换，比特币数学，量子力学等。
My preferred series: Essence of linear algebra
我的首选系列： 线性代数的本质
Website: https://www.3blue1brown.com/
网站： https ： //www.3blue1brown.com/
Krish Naik is a lead data scientist, a pioneer in machine learning, deep learning, and computer vision, and an educator and a mentor with over eight years of industry experience. He joined Youtube on February 11, 2012. The channel has so far gained 227K subscribers and more than 10M views.
Krish Naik是一位领先的数据科学家，是机器学习，深度学习和计算机视觉的先驱，并且是一位拥有八年以上行业经验的教育家和导师。 他于2012年2月11日加入Youtube。到目前为止，该频道已获得22.7万订阅者，观看次数超过1000万。
On his YouTube channel, he explores many topics related to machine learning, deep learning, and AI, with several real-time problems. His main goal is to familiarise everyone with ML and AI. All these videos are free. His channel covers all that is important to a data scientist. Several issues related to model implementation are addressed.
在他的YouTube频道上，他探讨了与机器学习，深度学习和AI相关的许多主题，其中涉及一些实时问题。 他的主要目标是使所有人熟悉ML和AI。 所有这些视频都是免费的。 他的频道涵盖了对数据科学家重要的所有内容。 解决了与模型实现有关的几个问题。
My preferred playlist: Complete Deep Learning
我首选的播放列表： 完整的深度学习
Giles McMullen-Klein owns the Python Programmer YouTube channel of data science. He is an artificial intelligence and machine learning journalist. He joined on August 16, 2008. He has now 206K subscribers, and on this channel new videos are uploaded every Thursday.
Giles McMullen-Klein拥有Python程序员 YouTube数据科学频道。 他是人工智能和机器学习记者。 他于2008年8月16日加入。他现在有206K订户，并且每个星期四都在该频道上载新视频。
His content comprises Python tutorials, data science, machine learning (ML), artificial intelligence (AI), and more. Klein also tries to enlighten people on how to learn and where to find the best learning resources. But the striking aspect of this channel is that it has videos where it discusses beginners’ books on data science.
他的内容包括Python教程，数据科学，机器学习(ML)，人工智能(AI)等。 克莱因还试图启发人们如何学习以及在哪里找到最好的学习资源。 但是，该频道最引人注目的方面是它提供了视频，讨论了初学者有关数据科学的书籍。
My preferred playlist: Learning Python
我首选的播放列表： 学习Python
8. Tech With Tim
8.技术与蒂姆
Source 资源On April 23, 2014, Tim, a first-year student of computer science, joined YouTube with his channel Tech with Tim. He aims to share programming knowledge with you and to give everyone free access to education. His channel has 398K subscribers currently.
2014年4月23日，计算机科学大一学生Tim随Tim的频道Tech加入了YouTube。 他的目标是与您共享编程知识，并让所有人免费获得教育。 他的频道目前有39.8万订阅者。
Tim shares all sorts of tech and programming courses on his site. These tutorials range from the fundamentals of programming to AI and ML. It offers Python programming tutorials, Python game creation, Python machine learning, Python neural networks, and many other data science fields. Also, the channel material is linked to other programming languages and general guidance, ideas, and tips for aspiring programmers or software engineers.
蒂姆在他的网站上分享了各种技术和编程课程。 这些教程的内容从编程的基础到AI和ML。 它提供Python编程教程，Python游戏创建，Python机器学习，Python神经网络以及许多其他数据科学领域。 此外，频道资料还链接到其他编程语言以及面向有志的程序员或软件工程师的一般指导，思想和技巧。
My preferred playlist: Python Machine Learning Tutorials
我首选的播放列表： Python机器学习教程
Website: https://techwithtim.net/
网站： https ： //techwithtim.net/
On August 11, 2011, Brandon Foltz joined YouTube. Since then he has shared his experience with his 215K subscribers. He’s an instructor, curriculum designer, and course designer with nearly 16 years of experience in this area.
2011年8月11日， 布兰登·福尔兹 ( Brandon Foltz)加入了YouTube。 从那时起，他就与215K订户分享了他的经验。 他是一位讲师，课程设计师和课程设计师，在此领域拥有近16年的经验。
His lectures concentrate on introductory statistics, finite mathematics, economics, business administration, and basic accounting. His videos are full-length lessons based on the conceptual analysis of data science statistics and mathematics.
他的演讲集中于入门统计，有限数学，经济学，企业管理和基本会计。 他的视频是基于数据科学统计和数学概念分析的完整课程。
My preferred playlist: Continuous Probability Distributions
我首选的播放列表： 连续概率分布
Tiffany Janzen aims to set a pattern for all those who are afraid of switching their professions. Janzen started in the fashion and modeling industries and decided to turn to technology after attending a coding bootcamp. She has 15K subscribers currently.
Tiffany Janzen旨在为所有害怕转换职业的人们树立榜样 。 Janzen开始从事时装和模特行业，并在参加编码训练营后决定转向技术。 她目前有15,000名订阅者。
Janzen shows the audience what tech has to offer through her YouTube platform Tiffin. It helps people better their daily lives by providing practical and inspirational knowledge. It also gives its audience meaning and confidence by preserving authenticity. She has built a loyal following by sharing her everyday life in tech, fashion, business, and many other areas of daily life.
Janzen向观众展示了通过其YouTube平台Tiffin提供的技术 。 它通过提供实用和鼓舞性的知识来帮助人们改善日常生活。 通过保留真实性，它也赋予听众意义和信心。 她通过分享自己在科技，时尚，商业和许多其他日常生活领域中的日常生活而建立了忠实的追随者。
My preferred playlist: Coding Advice & Tips
我首选的播放列表： 编码建议和提示
Website: https://www.tiffanyjanzen.com/
网站： https ： //www.tiffanyjanzen.com/
Since 2012, Mayuko Inoue has worked as a senior iOS software developer in the tech industry, with companies such as Intuit, Patreon, and Netflix.
自2012年以来，Mayuko Inoue在技术行业担任高级iOS软件开发人员，曾与Intuit，Patreon和Netflix等公司合作。
Mayuko’s online content is intended to allow people to move across the technology industry and life, via videos on lifestyle, career, and technical advice, exploring topics like impostor disorder, cultural identity, and emotional instability. She joined YouTube with her Hello Mayuko channel on October 4, 2010, and has 340K subscribers.
Mayuko的在线内容旨在通过人们关于生活方式，职业和技术建议的视频，让人们跨过技术行业和生活，探索诸如冒名顶替障碍，文化认同和情感不稳定等主题。 她于2010年10月4日通过其Hello Mayuko频道加入YouTube，并拥有340K订阅者。
My preferred playlist: How to Kickstart Your Software Engineering Career
我首选的播放列表： 如何启动您的软件工程职业
Website: https://www.hellomayuko.com/
网站： https ： //www.hellomayuko.com/
365 Data Science is an e-learning site for courses in the area of data science. The owners exchange quality content and use a form of description that encourages learners. But one of the best things is that they are better related to real-life instances. On August 07, 2017, 365 Data Science joined YouTube. It currently has 128K subscribers.
365 Data Science是有关数据科学领域课程的电子学习网站。 所有者交换高质量的内容并使用鼓励学习者的描述形式。 但是最好的事情之一是它们与现实生活中的实例更好地相关。 2017年8月7日，365 Data Science加入了YouTube。 目前有128K订户。
It offers tutorials about Python, data science, machine learning, deep learning, and many other subjects. The videos also provide information on patterns and educational needs for different positions in the data science industry.
它提供有关Python，数据科学，机器学习，深度学习和许多其他主题的教程。 视频还提供有关数据科学行业中不同职位的模式和教育需求的信息。
My preferred playlist: Data Science Career in 2020 | 365 Data Science
我最喜欢的播放列表 ： 2020年数据科学职业| 365数据科学
Website: https://365datascience.com/
网站： https ： //365datascience.com/
To be a data scientist does not imply scoring the maximum grades on an exam that you would forget one year later. It involves understanding, learning, analyzing, and sharing the final outcome with all others.
成为数据科学家并不意味着在一年后您会忘记的考试中获得最高成绩。 它涉及理解，学习，分析并与其他所有人共享最终结果。
Learning data science nowadays is a great investment of your time and hard work, as data will only continue to increase exponentially and data needs to find relevance. Hence, you should subscribe to those channels and analyze their videos to learn something new and valuable.
如今，学习数据科学是对您的时间和辛勤工作的巨大投资，因为数据只会继续呈指数级增长，而数据需要找到相关性。 因此，您应该订阅这些频道并分析他们的视频，以学习新的和有价值的东西。
“People remember 80% of what they see, compared to ten percent what they hear and 20 percent of what they read.” — Jerome Bruner
“人们记得他们看到的内容的80％，相比之下，他们听到的内容只有10％，阅读的内容只有20％。” —杰罗姆·布鲁纳(Jerome Bruner)
The channels that I listed here are curated based on topics, commitment, quality, respectively. Let us know if you have any suggestions.
我在此处列出的渠道分别是根据主题，承诺和质量来选择的。 如果您有任何建议，请告诉我们。
翻译自: https://medium.com/better-programming/12-best-youtube-channels-to-learn-data-science-in-2020-e92a72b4d91c
