Data Science Bookcamp: Five Python Projects

Data Science Bookcamp is a comprehensive set of challenging projects carefully designed to grow your data science skills from novice to master.

Learn data science with Python by building five real-world projects! In Data Science Bookcamp you'll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily.

Data Science Bookcamp is a comprehensive set of challenging projects carefully designed to grow your data science skills from novice to master. Veteran data scientist Leonard Apeltsin sets five increasingly difficult exercises that test your abilities against the kind of problems you'd encounter in the real world. As you solve each challenge, you'll acquire and expand the data science and Python skills you'll use as a professional data scientist.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

《Data Science Bookcamp》是一套全面的挑戰性專案，精心設計以幫助您從初學者成長為專家的資料科學技能。透過建立五個真實世界的專案，您將學習使用Python進行資料科學。在《Data Science Bookcamp》中，您將測試並建立對Python的知識，並學習處理專業資料科學家每天面臨的開放性問題。這套挑戰性專案由資深資料科學家Leonard Apeltsin設計，包含五個難度逐漸增加的練習，測試您在真實世界中可能遇到的問題。當您解決每個挑戰時，您將獲得和擴展作為專業資料科學家所需的資料科學和Python技能。購買印刷版書籍還包括Manning Publications提供的PDF、Kindle和ePub格式的免費電子書。

Leonard Apeltsin is a senior data scientist and engineering lead at Primer AI, a startup that specializes in using advanced Natural Language Processing techniques to extract insight from terabytes of unstructured text data. His PhD research focused on bioinformatics that required analyzing millions of sequenced DNA patterns to uncover genetic links in deadly diseases.

Leonard Apeltsin 是一位高級資料科學家和工程主管，就職於 Primer AI，一家專注於使用先進的自然語言處理技術從數千兆字節的非結構化文本數據中提取洞察的初創公司。他的博士研究專注於生物信息學，需要分析數百萬個DNA序列模式，以揭示致命疾病的遺傳聯繫。