Udemy – Data Science Career Guide – Interview Preparation 2019-9

Data Science Career Guide – Interview Preparation is the name of a training course from Udemy site that prepares you to participate in a Data Science job job interview by providing numerous exercises and questions. According to the Glassdoor website, data science engineering is the best profession in the United States, with an average annual salary of $ 120,000. Many companies are looking for professionals to hire in this job and this course tries to prepare you to participate in the interview of these companies.

This training course is a valuable and practical resource for reaching the job of data science and teaches you important tips and techniques for being accepted in a company interview. In this course, we will have an overview of this field of work and talk about various career paths, including product analyst, data engineering, data science, and so on. By watching this course, you will get acquainted with the available job opportunities and you will learn the best ways to achieve each of them.

Courses taught in this course:

• Build a great resume for data science
• Familiarity with the roles and titles in the data science ecosystem
• Familiarity with possible questions asked on the day of the interview
• Practice with SQL interview questions

Data Science Career Guide – Interview Preparation:

• English language
• Duration: 4 hours
• Number of lessons: 110
• Level of education: Medium
• Instructor: Jose Portilla
• File format: mp4

Course topics

110 lectures 04:00:24

Course Overview
3 lectures 13:27

Data Science Career Overview
4 lectures 14:17

Data Science Interview Preparation
6 lectures 19:10

The Data Science Interview Process
4 lectures 30:39

Probability Theory Interview Questions
20 lectures 31:10

Statistics Interview Questions
11 lectures 27:41

Product Analysis and Business Metrics Interview Questions
11 lectures 21:17

Working with Data Interview Questions
11 lectures 10:45

Machine Learning Interview Questions
21 lectures 24:53

Design of Experiments Interview Questions
9 lectures 17:29

Coding Questions
9 lectures 29:26

BONUS SECTION: THANK YOU!
1 lecture 00:10

Course prerequisites

• An understanding of Probability and Statistics
• Programming Experience in either Python or R
• Experience in SQL
• An understanding of Machine Learning Algorithms

Pictures

Sample movie

Installation guide

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English subtitle

Quality: 720p

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Size

358 MB