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2025-03-29
Head First Data Analysis 2025 pdf epub mobi 電子書 下載
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...
評分挺慚愧的,這本書2017年買的時候,讀瞭一遍,但是朋友推薦這本書時,卻想不起來書中的內容,這次又重讀一遍,發現確實是本好書,不僅從數據分析專業領域,而且從思維學習上,都讓人頗有收獲。作者通過類似實際的案例(包括具體的人和遇到的具體問題)講述不同的數據分析方法,...
評分挺慚愧的,這本書2017年買的時候,讀瞭一遍,但是朋友推薦這本書時,卻想不起來書中的內容,這次又重讀一遍,發現確實是本好書,不僅從數據分析專業領域,而且從思維學習上,都讓人頗有收獲。作者通過類似實際的案例(包括具體的人和遇到的具體問題)講述不同的數據分析方法,...
圖書標籤: 數據分析 HeadFirst Analysis Data 數據挖掘 統計學 入門 statistics
headfirst 風格
評分常識普及書
評分數據分析的要義是進行比較;因果推斷的前提是不同組彆具有可比性
評分數據分析的要義是進行比較;因果推斷的前提是不同組彆具有可比性
評分入門理想書籍
Head First Data Analysis 2025 pdf epub mobi 電子書 下載