Iris Wang

Feng Cao

Yanping Huang

Jane You

Ian Gao

Data Science Interviews Exposed offers data science career advice and REAL interview questions to help you get the six-figures salary jobs! A data science job is extremely rewarding. It empowers to you make real impact in the world! And besides, it offers competitive salaries, and it develops your creative as well as quantitative skills. No wonder the data science job is rated as one of the sexist jobs in 21st century. So what you are waiting for ? Are you still wondering how to join data science work force ? Are you lost in the tremendous amount of online data science courses and resources ? Are you endlessly searching online to find data science interview questions and answers? If you answer yes for any of the questions, Data Science Interviews Exposed is a book you absolutely want to read. Why? This book is written by data science professionals from Facebook, LinkedIn, Amazon, Google and Microsoft, with years of first hand working and interviewing experience. This is the first book in the industry that systematically covers everything for preparing for a data science career and interviews, and with real interview questions and detailed answers. This book provides both career guidance for entry level candidates as well as interview questions practice for intermediate candidates. Here is a full list of topics: Introduction This chapter presents an overview to the data science job market and the book organization. Find the Right Job Roles Get confused about the various data science job titles? This chapter provides a detailed description for each of them, the differences among them, as well as the guidance for choosing the one that suits you the most. Find the Right Experience Don't know how to prepare yourself with the right experience to meet the job requirements and your career goals? This chapter helps you to identify the experience you need to land your dream position. It also provides suggestions for new graduates as well as candidates from a different industry who want to transfer to data science field. Get Ready for the Interviews Think you have a clear goal and have possessed all the required skill sets, but just don't know how to get job interviews? This chapter walks you through how to build good resumes and professional profiles that would bring you the right exposure to the right person -- recruiters and hiring managers. Polish Your Soft Skills Heard of your competent peers failing job interviews and want to know why? This chapter reveals the secrets that most companies don t talk about publicly -- the soft skills. What are behavior questions, why are they important, how do you prepare for them? You will find the answer here. Technical Interview Questions An interview is not a pop quiz. You should take the time to practice on real interview problems and learn their patterns. This chapter lists eight major topics that are frequently covered by data science job interviews, associated with example interview questions for each of them. All of them are either real interview questions or adapted from real interview questions: Probability Theory Statistical Inference Dataset Manipulation Product, Metrics and Analytics Experiment Design Coding Machine Learning Brain Teasers Solutions to Technical Interview Questions This chapter attaches the solutions and thought process for each question in the previous chapter. We hope the readers can grasp the key points behind each of them, hence be able to apply the approaches to other similar questions in the real interviews.

Your One Stop Source for Data Engineers, Data Analysts, and Data Scientists Interviews

Data Science Interviews Exposed

Nazish Sayed

Dong Han

Chun Liu

Cardio-Oncology: Mechanisms and therapeutics

This text considers the prevalence of Lao-Zhuang Daoism and Huang-Lao Daoism in late pre-imperial and early imperial Chinese traditional thought. The author uses unique excavated documents and literature to explore the Huang-Lao tradition of Daoist philosophy, which exerted a great influence on China ancient philosophy and political theories, from the Pre-Qin period to the Wei-Jin periods. It explains the original and significance of Huang-Lao Daoism, its history and fundamental characteristics, notably discussing the two sides of Huang-Lao, namely the role and function of Lao Zi and the Yellow Emperor, and discusses why the two can constitute a complementary relationship. It also provides a key study of the Mawangdui silk texts, bamboo slips of the Heng Xian, Fan Wu Liu Xing, considering both the theory of human Xing and of Qi.

Huang-Lao Thought in Light of Excavated Texts

Daoism in Early China

Feng Cao

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