Cracking the Data Science Interview: Unlock insider tips from industry experts to master the data science field (Paperback)

Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much more

Key Features:

• Acquire highly sought-after skills of the trade, including Python, SQL, statistics, and machine learning
• Gain the confidence to explain complex statistical, machine learning, and deep learning theory
• Extend your expertise beyond model development with version control, shell scripting, and model deployment fundamentals
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

The data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that determines the best fit for both the candidate and the company.

Cracking the Data Science Interview provides expert guidance on approaching the interview process with full preparation and confidence. Starting with an introduction to the modern data science landscape, you'll find tips on job hunting, resume writing, and creating a top-notch portfolio. You'll then advance to topics such as Python, SQL databases, Git, and productivity with shell scripting and Bash. Building on this foundation, you'll delve into the fundamentals of statistics, laying the groundwork for pre-modeling concepts, machine learning, deep learning, and generative AI. The book concludes by offering insights into how best to prepare for the intensive data science interview.

By the end of this interview guide, you'll have gained the confidence, business acumen, and technical skills required to distinguish yourself within this competitive landscape and land your next data science job.

What You Will Learn:

• Explore data science trends, job demands, and potential career paths
• Secure interviews with industry-standard resume and portfolio tips
• Practice data manipulation with Python and SQL
• Learn about supervised and unsupervised machine learning models
• Master deep learning components such as backpropagation and activation functions
• Enhance your productivity by implementing code versioning through Git
• Streamline workflows using shell scripting for increased efficiency

Who this book is for:

Whether you're a seasoned professional who needs to brush up on technical skills or a beginner looking to enter the dynamic data science industry, this book is for you. To get the most out of this book, basic knowledge of Python, SQL, and statistics is necessary. However, anyone familiar with other analytical languages, such as R, will also find value in this resource as it helps you revisit critical data science concepts like SQL, Git, statistics, and deep learning, guiding you to crack through data science interviews.

超越競爭，並在下一次面試中脫穎而出，這本書是一本涵蓋Python、SQL、版本控制、統計學、機器學習等多個領域的全能指南。

主要特點：
- 學習Python、SQL、統計學和機器學習等行業中備受追捧的技能
- 獲得解釋複雜統計、機器學習和深度學習理論的自信
- 透過版本控制、shell腳本和模型部署基礎，擴展您的專業知識
- 購買印刷版或Kindle電子書，即可獲得免費的PDF電子書

書籍描述：
數據科學就業市場充斥著各種背景的專業人士，包括學者、研究人員、短期培訓班學員和大規模開放在線課程（MOOC）的畢業生。這對於尋找最佳人選填補職位的公司來說是一個挑戰。而在這個選拔過程的核心是數據科學面試，這是一個關鍵的時刻，決定了候選人和公司之間的最佳匹配。

《破解數據科學面試》提供了對面試過程的專業指導，幫助您充分準備並充滿自信地應對面試。從現代數據科學領域的介紹開始，您將找到求職技巧、編寫簡歷和創建一流作品集的建議。然後，您將深入研究Python、SQL數據庫、Git和shell腳本以及Bash的相關主題。在此基礎上，您將探索統計學的基礎知識，為模型開發前的概念、機器學習、深度學習和生成式人工智能打下基礎。本書最後還提供了如何最佳準備密集型數據科學面試的見解。

通過閱讀本書，您將獲得在這個競爭激烈的領域中脫穎而出並獲得下一份數據科學工作所需的自信、商業頭腦和技術技能。

學到什麼：
- 探索數據科學趨勢、工作需求和潛在職業道路
- 通過行業標準的簡歷和作品集技巧獲得面試機會
- 使用Python和SQL進行數據操作
- 學習監督和非監督機器學習模型
- 掌握深度學習的組件，如反向傳播和激活函數
- 通過Git實現代碼版本控制，提高工作效率
- 使用shell腳本優化工作流程

本書適合對技術技能有所了解的資深專業人士或初學者，無論您是需要提升技術技能的資深專業人士，還是想進入充滿活力的數據科學行業的初學者，本書都適合您。要充分利用本書，需要基本的Python、SQL和統計學知識。然而，對於熟悉其他分析語言（如R）的人來說，本資源也具有價值，因為它幫助您重新學習關鍵的數據科學概念，如SQL、Git、統計學和深度學習，引導您破解數據科學面試。