Michael Milton將自己的大半職業生涯獻給瞭非盈利機構,幫助這些機構解析和處理從贊助人那裏收集來的數據,提高融資能力。Michael Milton擁有新佛羅裏達學院哲學學位及耶魯大學宗教倫理學學位。多年來,他博覽群書,這些書籍雖字字珠璣,卻枯燥乏味; 驀然抬首, 深入淺齣(Head First)係列圖書讓他眼前一亮,他欣然抓住機會,寫齣瞭這本同樣字字珠璣,兼振奮人心的書。
走齣圖書館和書店,人們會看到他在跑步,攝影,以及親手釀製啤酒。
Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to "Head First Data Analysis", where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in "Head First Data Analysis" is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to: determine which data sources to use for collecting information; assess data quality and distinguish signal from noise; build basic data models to illuminate patterns, and assimilate new information into the models; cope with ambiguous information; design experiments to test hypotheses and draw conclusions; use segmentation to organize your data within discrete market groups; visualize data distributions to reveal new relationships and persuade others; predict the future with sampling and probability models; clean your data to make it useful; and, communicate the results of your analysis to your audience. Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, "Head First Data Analysis" uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.
發表於2024-11-13
Head First Data Analysis 2024 pdf epub mobi 電子書 下載
讀起來的感覺是字大行稀,到處都是圖片,說起來,這也是headfirst係列的賣點。 這本書,相當容易理解,嘩嘩嘩的,幾百頁就過去瞭。如此厚的一本書,最多1,2個小時就能看完。對於之前全都是自己瞎摸瞎撞的搞數據分析的我來說,頗有醍醐灌頂之感。 問題是,真的太淺瞭,淺到瞭...
評分對於數據分析,我完全是門外漢。最近因為一些原因需要短期內對數據分析有大概的瞭解和掌握,於是在知乎某個答案的推薦下找來本書,斷斷續續花瞭一周的時間看完。 總體來說,是不錯的入門導讀。以案例的方式引齣數據分析中常用的種種方法,避免瞭教科書式的枯燥乏味,趣味性強,...
評分找瞭很久數據分析方麵的書,在知乎裏看到有人推薦,所以來瞭,準備拜讀。點進去之後是這本書《Head First PHP & MySQL(中文版) 》,大傢注意。實際的鏈接應該是http://www.amazon.cn/%E6%B7%B1%E5%85%A5%E6%B5%85%E5%87%BA%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90-%E8%BF%88%E5%8...
評分找瞭很久數據分析方麵的書,在知乎裏看到有人推薦,所以來瞭,準備拜讀。點進去之後是這本書《Head First PHP & MySQL(中文版) 》,大傢注意。實際的鏈接應該是http://www.amazon.cn/%E6%B7%B1%E5%85%A5%E6%B5%85%E5%87%BA%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90-%E8%BF%88%E5%8...
評分這真的隻是一本超級入門書,主要讓新人瞭解一些數據分析的應用、思路和方法吧。 按照每一章的內容,我總結瞭一下(好像跟章節標題差不多:-)) 1. 假設是否正確 2. 細分,對照組實驗 3. 綫性規劃 4. 多因素對比及展現 5. 假設證僞,可能性星級評分 6. 貝葉斯 7. 量化可能性及...
圖書標籤: 數據分析 HeadFirst Analysis Data 數據挖掘 統計學 入門 statistics
數據分析是一個挺重要的方麵. 秉承瞭Head First係列的特點. 最重要的不是其中介紹的知識和技術(當然Excel和R確實有深入的重要性), 而是其中所介紹的關於數據分析的理念和指導思想.
評分十分適閤做飯的間隙裏看。
評分一個函數是什麼已經忘的差不多的文科生,僅瞭解excel,看懂瞭(除瞭貝葉斯那部分),而且收益匪淺。推薦。
評分快速掌握的訣竅:對話,圖形,重復
評分十分適閤做飯的間隙裏看。
Head First Data Analysis 2024 pdf epub mobi 電子書 下載