What you'll learn

How to effectively prepare for different types of data scientist questions

Get familiar with roles related to data scientist and data analyst

Examples of data manipulation questions (e.g, SQL, python) and answers

Examples of coding questions and answers

Examples of statistics/probability questions and answers

Examples of experimental design questions and answers

Examples of machine learning questions and answers

Examples of product sense questions and answers

General framework of case questions and answers

General framework of behaviour questions and answers

Requirements

High school level math skills

Basic coding skills

Description

21st century is the century of technology, data plays a very important role in companies from different industries, more and more positions related to data science are available in the market. Data scientist is a very popular career because it is well-paid and its responsibility includes solving many interesting problems.As a data scientist with over 10 years of experience. My job is to help you prepare for your data scientist or data analyst interview so you are able to know what is the right position for you, what will most likely to be tested and how to be successful in a standard interview process.During this course, I will get into the details of various interview portions such as data manipulation, coding (algorithm), stats & probability, experimental design, machine learning & modeling, product sense, behavior questions as well as the high level information for case study. The above portions should be able to cover almost all types of questions being asked in data science interviews and I will teach you how to prepare for each part as well as showing you some sample questions being asked in real interviews from top tech companies such as Amazon, Meta, Google, etc… This course also comes with presentation slides that you can leverage it to prepare for your interviews.