The current browser does not support music or voice playback. Please play music in wechat or another browser The 203 MAO Not Easy – Children of Tomorrow No. 10

To you I am nothing but a

A traveler in a hurry

After writing for a period of time, some friends in the same field gradually joined me and asked me how to learn data analysis, how to expand my vision and improve the depth of thinking. In fact, this is also what I have been learning, so I posted the websites I usually pay attention to and recommended by my friends here.

I’ll keep this list up to date on IDA Campaign, since your horizons change as you grow up.

PS: unable to click the hyperlink of the subtitle, please click to read the original article.

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DATA

Zhihu is very active, you can not only see their posts, but also see their dynamic, anyway, Zhihu daily N brush. (Please search zhihu for the column name, or click to read the original article, which has its own hyperlink)

Operation big brother Qin Lu, write the article is very down-to-earth gas, very suitable for the data analysis of the entry white. Inside the tutorial is very detailed and systematic, is absolutely simple and honest basic good article.

Jiago Wang Jiadong FR, working in Fansoft, writes mostly about the data-oriented management of the e-commerce industry.

Yang Nannan, Nan Jie has rich experience in data products, engaged in text mining, user portrait, report system and other data products. To understand the data product manager growth system, read on.

Mr. Liu Yang is good at establishing a comprehensive data sub-system for enterprises. His main research directions are user portrait, brand big data marketing, enterprise BI and artificial intelligence productization. His articles can reflect his in-depth understanding of this industry, which is of great help to improve my thinking.

Sansheng Stone Chen Xintao, currently in charge of Zhuan Data, used to be the first data PM of Meituan Takeout. The author wrote the breadth and depth of the article, rarely see Daniel will write so detailed, must read several times!

Yan Zehua, product manager of Toutiao, feels that he is the best author of the content recommendation system, and should not be missed by anyone who is interested in content recommendation.

Lu Zhengchao, former UC, Tencent overseas product manager, responsible for the internationalization of UC Browser, wechat payment and other products, is now a start-up. The author is very experienced in the recommendation algorithm, go to pay attention to it.

Hannimanhanniman, former product manager of Tencent, is now talent strategy officer of Turing robotics. This column is enough for anyone who wants to learn about artificial intelligence.

Mr. Liu Peng is the evangelist of computational advertising in China. Computational advertising is an emerging research topic, which involves large-scale search and text analysis, information acquisition, statistical modeling, machine learning, classification, optimization and microeconomics.

High, long and wide, feel the same visibility and Qin Lu, data analysis enthusiasts, good at data analysis and visual expression, like to study all kinds of data-related east.

Fansoft Data Application Research Institute (wechat id: FR_Research), an official product of Fansoft, thought it was the promotion number of the software before, but later found it was not. There are many data application cases, you can understand the data requirements from the actual scenarios.

Practice bigdata (wechat id: StudyBigData), good at user portrait and data management platform. The article written by the author is easy to understand and worth reading haha.

PS: The columns or official accounts I recommend are relatively vertical, but the update frequency may not be too high, but I think many things are “expensive, refined, not expensive”, I believe that each of their articles is worth your waiting.

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>UX

Medium is a foreign lightweight content publishing platform, which brings together the sharing articles of user experience design in various industries. The interaction design topics I read frequently are uxDesign.cc and UX Planet.

Smashingmagazine is a development and design-based content magazine with a wide range of categories including coding, design, Mobile, Graphic, UX, and more.

InVision Blog provides cutting-edge design information abroad, including news, Design, Inspiration, Case Study, etc.

UXmatters has a community focused on user experience topics, including research, design, strategy, accessibility, and more.

UX Booth user experience site, including Analytics, Research, Visual Design, etc.

PS: Now there are a lot of bees in China who translate foreign hot articles to the domestic market. It is very hard, ah. The representative one is Cola orange. But it has also recently announced that it will stop translating. But their own translation software to see the foreign language also no pressure, some impassability of the place can only be translated.

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>UI

Once UPON a time, I came across Behance, the color palette, typography, and art style. If your website has a lingering sense of traditional and classic nostalgia, please check it out

Behance is the world’s largest online creative community, a place where users share their work and showcase complete projects.

Dribbble is a community for sharing design details and visual inspiration. An acquaintance once compared Behance to the sea and Dribbble to a shell on the beach, which is a good analogy. I believe most designers can appreciate not only the vastness of the sea, but also the delicacy of the shells.

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>PM

Stick two every morning will visit the website, these products will know the basic, not detailed introduction ~ everyone is product manager PMCAFF

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>BOOKS

Of course, it is necessary to read books to establish a systematic knowledge theory. Since I was growing up, I did not like reading books, so I read more articles on the Internet, but I also gradually realized the limitations of using fragmented learning.

A must-read list: data analysis and product people growth

The author of the recommended book has started a book notes post, which is used to gather experiences of data products, data books, data articles and other related content. I think it’s pretty good. Deep post: Record a new data product or a new data case every day (check out PMCAFF)

There is a sentence in the post that I think can be used as the final conclusion: in realm, seeing is more important than knowing; in competition, external is more important than internal; rationality is more important than sensibility in decision-making; principle is more important than skill in execution.

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–   You and I are dark horses