Head First Data Analysis 在線電子書 圖書標籤: 數據分析 HeadFirst Analysis Data 數據挖掘 統計學 入門 statistics
發表於2024-11-22
Head First Data Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024
常識普及書
評分headfirst 風格
評分小案例 有趣有意
評分電子檔
評分簡單,知識含量不是很高
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.
本来想找点深度一点的书,不过当时到了书店后看了两眼发现书的写法很有意思就买下了。 很多人抱怨书的内容不够深入,这点我不反对。不过在我看来,数据分析与其说是理论或技术,倒不如说是一门手艺,仅仅是拿着几个范例数据按照固定的套路算算,看再多的模型,也是...
評分这本书关注的是假设和建模范围的事情,能清楚地解释概念、模型,且能讲得通俗有趣,已经很不错了。豆瓣评分低大概是觉得太浅吧。 数据分析,尤其是互联网产品经理/运营的数据分析其实不需要太多统计学知识。但要有假设检验的概念。根据多年数据分析经验总结了一下思路: 老板:...
評分在运营推广过程中,数据是判断渠道优劣程度的重要指标,一般可以分为三个部分? 1、渠道数量指标:包括了下载量、注册量、活跃用户量、用户留存量、用户激活量,这些指标可以判断渠道流量的规模水平。 2、用户的行为指标:启动次数、在线使用时长、访问页面数,一般运营人员会...
評分这本书关注的是假设和建模范围的事情,能清楚地解释概念、模型,且能讲得通俗有趣,已经很不错了。豆瓣评分低大概是觉得太浅吧。 数据分析,尤其是互联网产品经理/运营的数据分析其实不需要太多统计学知识。但要有假设检验的概念。根据多年数据分析经验总结了一下思路: 老板:...
評分这本书关注的是假设和建模范围的事情,能清楚地解释概念、模型,且能讲得通俗有趣,已经很不错了。豆瓣评分低大概是觉得太浅吧。 数据分析,尤其是互联网产品经理/运营的数据分析其实不需要太多统计学知识。但要有假设检验的概念。根据多年数据分析经验总结了一下思路: 老板:...
Head First Data Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024