Data Science Career Guide – Interview Preparation

Data Science Career Guide – Interview Preparation, available at $89.99, has an average rating of 4.37, with 111 lectures, based on 2624 reviews, and has 22553 subscribers.

You will learn about Create a great data science resume! Understand various positions and titles available in the data science ecosystem. Get practice with probability and statistics interview questions. Build an understanding of good experiment design. Get practice with SQL interview questions. This course is ideal for individuals who are Anyone who wants to prepare for a Data Science Interview or Anyone interested in a career in Data Science It is particularly useful for Anyone who wants to prepare for a Data Science Interview or Anyone interested in a career in Data Science.

Enroll now: Data Science Career Guide – Interview Preparation

Summary

Title: Data Science Career Guide – Interview Preparation

Price: $89.99

Average Rating: 4.37

Number of Lectures: 111

Number of Published Lectures: 110

Number of Curriculum Items: 111

Number of Published Curriculum Objects: 110

Original Price: $189.99

Quality Status: approved

Status: Live

What You Will Learn

Create a great data science resume!
Understand various positions and titles available in the data science ecosystem.
Get practice with probability and statistics interview questions.
Build an understanding of good experiment design.
Get practice with SQL interview questions.

Who Should Attend

Anyone who wants to prepare for a Data Science Interview
Anyone interested in a career in Data Science

Target Audiences

Anyone who wants to prepare for a Data Science Interview
Anyone interested in a career in Data Science

According to Glassdoor, a career as a Data Scientist is the best job in America! With an average base salary of over $120,000, not only do Data Scientists earn fantastic compensation, but they also get to work on some of the world’s most interesting problems! Data Scientist positions are also rated as having some of the best work-life balances by Glassdoor. Companies are in dire need of filling out this unique role, and you can use this course to help you rock your Data Scientist Interview!

This course is designed to be the ultimate resource for getting a career as a Data Scientist. We’ll start off with an general overview of the field and discuss multiple career paths, including Product Analyst, Data Engineering, Data Scientist, and many more. You’ll understand the various opportunities available and the best way to pursue each of them. The course touches upon a wide variety of topics, including questions on probability, statistics, machine learning, product metrics, example data sets, A/B testing, market analysis, and much more!�

The course will be full of real questions sourced from employees working at some of the world’s top technology companies, including Amazon, Square, Facebook, Google, Microsoft, AirBnb and more!

The course contains real questions with fully detailed explanations and solutions. Not only is the course designed for candidates to achieve a full understanding of possible interview questions, but also for recruiters to learn about what to look for in each question response. For questions requiring coded solutions, fully commented code examples will be shown for both Python and R. This way you can focus on understanding the code in a programming language you’re already familiar with, instead of worrying about syntax!

Course Curriculum

Chapter 1: Course Overview

Lecture 1: Course Overview Lecture

Lecture 2: Curriculum Overview

Lecture 3: Frequently Asked Questions

Chapter 2: Data Science Career Overview

Lecture 1: Why a choose a career in Data Science?

Lecture 2: Data Science is Interdisciplinary

Lecture 3: Data Science Position and Titles

Lecture 4: Thoughts on Higher Education

Chapter 3: Data Science Interview Preparation

Lecture 1: Introduction to Interview Preparation

Lecture 2: Technical Tools of the Trade

Lecture 3: Theory Knowledge

Lecture 4: Machine Learning Knowledge

Lecture 5: Software Knowledge

Lecture 6: How do I know when I'm ready?

Chapter 4: The Data Science Interview Process

Lecture 1: Resumes

Lecture 2: Interview Process

Lecture 3: Landing Interviews

Lecture 4: Negotiating Offers

Chapter 5: Probability Theory Interview Questions

Lecture 1: Introduction to Probability Interview Questions

Lecture 2: Probability Question 1

Lecture 3: Solution for Probability Question 1

Lecture 4: Probability Question 2

Lecture 5: Solution for Probability Question 2

Lecture 6: Probability Question 3

Lecture 7: Solution for Probability Question 3

Lecture 8: Probability Question 4

Lecture 9: Solution for Probability Question 4

Lecture 10: Probability Question 5

Lecture 11: Solution for Probability Question 5

Lecture 12: Probability Question 6

Lecture 13: Solution for Probability Question 6

Lecture 14: Note about Probability Interview Question 7

Lecture 15: Probability Question 7

Lecture 16: Solution for Probability Question 7

Lecture 17: Probability Question 8

Lecture 18: Solution for Probability Question 8

Lecture 19: Probability Question 9

Lecture 20: Solution for Probability Question 9

Chapter 6: Statistics Interview Questions

Lecture 1: Introduction to Statistics Interview Questions

Lecture 2: Statistics Interview Question 1

Lecture 3: Solution for Statistics Interview Question 1

Lecture 4: Statistics Interview Question 2

Lecture 5: Solution for Statistics Interview Question 2

Lecture 6: Statistics Interview Question 3

Lecture 7: Solution for Statistics Interview Question 3

Lecture 8: Statistics Interview Question 4

Lecture 9: Solution for Statistics Interview Question 4

Lecture 10: Statistics Interview Question 5

Lecture 11: Solution for Statistics Interview Question 5

Chapter 7: Product Analysis and Business Metrics Interview Questions

Lecture 1: Introduction to Product Design and Metrics

Lecture 2: Product Design and Metrics – Interview Question 1

Lecture 3: Product Design and Metrics – Interview Question 1 – Solution

Lecture 4: Product Design and Metrics – Interview Question 2

Lecture 5: Product Design and Metrics – Interview Question 2 – Solution

Lecture 6: Product Design and Metrics – Interview Question 3

Lecture 7: Product Design and Metrics – Interview Question 3 – Solution

Lecture 8: Product Design and Metrics – Interview Question 4

Lecture 9: Product Design and Metrics – Interview Question 4 – Solution

Lecture 10: Product Design and Metrics – Interview Question 5

Lecture 11: Product Design and Metrics – Interview Question 5 – Solution

Chapter 8: Working with Data Interview Questions

Lecture 1: Introduction to SQL Questions

Lecture 2: Data with SQL – Interview Question 1

Lecture 3: Data with SQL – Interview Question 1 -Solution

Lecture 4: Data with SQL – Interview Question 2

Lecture 5: Data with SQL – Interview Question 2 – Solution

Lecture 6: Data with SQL – Interview Question 3

Lecture 7: Data with SQL – Interview Question 3 – Solution

Lecture 8: Data with SQL – Interview Question 4

Lecture 9: Data with SQL – Interview Question 4 – Solution

Lecture 10: Data with SQL – Interview Question 5

Lecture 11: Data with SQL – Interview Question 5 – Solution

Chapter 9: Machine Learning Interview Questions

Lecture 1: Introduction to Machine Learning Interview Questions

Lecture 2: Machine Learning Interview Question 1

Lecture 3: Machine Learning Interview Question 1 – Solution

Lecture 4: Machine Learning Interview Question 2

Lecture 5: Machine Learning Interview Question 2 – Solution

Lecture 6: Machine Learning Interview Question 3

Lecture 7: Machine Learning Interview Question 3 – Solution

Lecture 8: Machine Learning Interview Question 4

Lecture 9: Machine Learning Interview Question 4 – Solution

Lecture 10: Machine Learning Interview Question 5

Lecture 11: Machine Learning Interview Question 5 – Solution

Lecture 12: Machine Learning Interview Question 6

Lecture 13: Machine Learning Interview Question 6 – Solution

Lecture 14: Machine Learning Interview Question 7

Lecture 15: Machine Learning Interview Question 7 – Solution

Lecture 16: Machine Learning Interview Question 8

Lecture 17: Machine Learning Interview Question 8 – Solution

Lecture 18: Machine Learning Interview Question 9

Lecture 19: Machine Learning Interview Question 9 – Solution

Lecture 20: Machine Learning Interview Question 10

Lecture 21: Machine Learning Interview Question 10 – Solution

Instructors

Jose Portilla
Head of Data Science at Pierian Training
Pierian Training
Data Science and Machine Learning Training

Rating Distribution

1 stars: 29 votes
2 stars: 41 votes
3 stars: 236 votes
4 stars: 841 votes
5 stars: 1477 votes

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