• views: 107
• date: 10 January 2024
• posted by: voska89

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.
Overview
Section 1: Course Introduction
Lecture 1 Data Science Interview all in One
Section 2: Different Job Titles in Data
Lecture 2 Different Job Titles in Data Science
Section 3: Data Manipulation
Lecture 3 How to Prepare for Data Manipulation Questions
Lecture 4 Data Manipulation Example Questions and Answers - 1
Lecture 5 Data Manipulation Example Questions and Answers - 2
Lecture 6 Data Manipulation Example Questions and Answers - 3
Section 4: Coding
Lecture 7 How to Prepare for Coding Questions
Lecture 8 Coding Example Questions and Answers - 1
Lecture 9 Coding Example Questions and Answers - 2
Lecture 10 Coding Example Questions and Answers - 3
Section 5: Probability & Statistics
Lecture 11 How to Prepare for Probability & Statistics Questions
Lecture 12 Probability & Statistics Example Questions and Answers - 1
Lecture 13 Probability & Statistics Example Questions and Answers - 2
Lecture 14 Probability & Statistics Example Questions and Answers - 3
Section 6: Machine Learning & Modelling
Lecture 15 How to Prepare for Machine Learning & Modelling Questions
Lecture 16 Machine Learning & Modelling Example Questions and Answers - 1
Lecture 17 Machine Learning & Modelling Example Questions and Answers - 2
Section 7: Experimental Design
Lecture 18 How to Prepare for Experimental Design Questions
Lecture 19 Experimental Design Example Questions and Answers - 1
Lecture 20 Experimental Design Example Questions and Answers - 2
Section 8: Product Sense
Lecture 21 How to Prepare for Product Sense Questions
Lecture 22 Product Sense Example Questions and Answers - 1
Lecture 23 Product Sense Example Questions and Answers - 2
Lecture 24 Product Sense Example Questions and Answers - 3
Lecture 25 Product Sense Example Questions and Answers - 4
Section 9: Behaviour
Lecture 26 How to Prepare for Behaviour Questions
Lecture 27 Behaviour Example Questions and Answers - 1
Lecture 28 Behaviour Example Questions and Answers - 2
Lecture 29 Behaviour Example Questions and Answers - 3
Section 10: Case Study
Lecture 30 How to Prepare for Case Study
Someone who is interested in working as a data scientist or a data analyst,Someone who is preparing for a data scientist interview or data analyst interview


Homepage

https://www.udemy.com/course/data-science-interview-all-in-once/

   
   
   

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