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2025-04-14
Head First Data Analysis 2025 pdf epub mobi 電子書 下載
看到很多書評說書寫的淺,隻是簡單介紹瞭一些基本統計的方法。我卻不這麼認為。 雖然和國內的統計學教程比起來,這本書沒有那麼多公式和理論的完整介紹和推導,但其中對於統計的基本原理以及統計問題的來源場景介紹的非常通透,可以說是國內著作所沒有的。 我看的是英文版,...
評分在運營推廣過程中,數據是判斷渠道優劣程度的重要指標,一般可以分為三個部分? 1、渠道數量指標:包括瞭下載量、注冊量、活躍用戶量、用戶留存量、用戶激活量,這些指標可以判斷渠道流量的規模水平。 2、用戶的行為指標:啓動次數、在綫使用時長、訪問頁麵數,一般運營人員會...
評分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1.A/B Test: 控製組與實驗組(隨機分配實驗組,最大限度避免混雜因素乾擾) 2.通過目標函數C₁X₁ + C₂X₂ = P解決問題(C錶示約束變量,X錶示決策變量,P錶示期望最大化對象) 3.使用二維散點圖探索原因(增加平均綫作為判斷標準) 4.當描述數據圖形時,需要論述可相...
評分第一章化妝品公司提齣瞭增加銷量的需求,經過商談補充更多的數據資料,最後得齣建議http://book.douban.com/annotation/37016494/ 第二章星巴剋需要分析銷量下降的原因,通過對比實驗避免混雜因素。 第三章産品生産綫得齣最優解的需求,使用excel的solver功能,邏輯上輸入約束...
圖書標籤: 數據分析 HeadFirst Analysis Data 數據挖掘 統計學 入門 statistics
覺著挺有那麼點兒用的,做做筆記~
評分簡單,知識含量不是很高
評分常識普及書
評分挺好玩的書,書中對於 R 的介紹使我對這一軟件産生瞭濃厚的興趣,有時間一定要好好學習一下。不過這本書還是比較淺,沒有太深的內容,頁數雖然多,但是排版很特彆圖片非常多,所以很快就翻完瞭。
評分入門理想書籍
Head First Data Analysis 2025 pdf epub mobi 電子書 下載