Data Science For Dummies

Lillian Pierson

商品描述

Your ticket to breaking into the field of data science!

Jobs in data science are projected to outpace the number of people with data science skills—making those with the knowledge to fill a data science position a hot commodity in the coming years. Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of an organization's massive data sets and applying their findings to real-world business scenarios.

From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you'll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization.

  • Provides a background in data science fundamentals and preparing your data for analysis
  • Details different data visualization techniques that can be used to showcase and summarize your data
  • Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques
  • Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark

It's a big, big data world out there—let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

商品描述(中文翻譯)

打破進入數據科學領域的門檻!

數據科學相關職位的需求預計將超過具備數據科學技能的人數,這使得那些具備填補數據科學職位所需知識的人成為未來幾年的熱門資源。《數據科學入門指南》是IT專業人士和對將組織龐大數據集合理解並應用於實際業務場景感興趣的學生的完美起點。

從發現豐富的數據來源到在硬件和軟件限制下管理大量數據,確保報告的一致性,合併各種數據來源等,您將開發所需的知識,以有效解讀數據並講述一個可以被組織中任何人理解的故事。


  • 提供數據科學基礎知識和準備數據進行分析的背景

  • 詳細介紹不同的數據可視化技術,用於展示和總結數據

  • 解釋監督和非監督機器學習,包括回歸、模型驗證和聚類技術

  • 包括MapReduce、Hadoop、Dremel、Storm和Spark等大數據處理工具的介紹

這是一個充滿龐大數據的世界,讓《數據科學入門指南》幫助您利用其力量,為您的組織獲得競爭優勢。