“Data Science Career Guide – Interview Preparation” will help the students ace their data scientist interview. The goal of this course is to be the student’s goto source for starting a career as a data scientist. Students will be aware of the many possibilities and how to take use of each one. The course covers a wide range of subjects, such as questions on statistics, machine learning, product metrics, sample data sets, A/B testing, market analysis, and much more. Real questions from staff members at some of the greatest technology firms in the world, including Amazon, Square, Facebook, Google, Microsoft, Airbnb, and more, will be sprinkled throughout the course.
The course includes actual questions with indepth justifications and solutions. In addition to helping candidates fully comprehend potential interview questions, the course also teaches recruiters what to look for in each candidate’s answer. Currently, udemy is offering the Data Science Career Guide – Interview Preparation course for up to 87 % off i.e. INR 449 (INR 3,499).
Who Can opt for this Course?
 Anyone wants to get ready for a data science interview
 Anybody who wants to pursue a career in data science
Course Highlights
Key Highlights  Details 

Registration Link  Apply Now! 
Price  INR 449 ( 
Duration  04 Hours 
Rating  4.7/5 
Student Enrollment  19,765 students 
Instructor  Jose Portilla https://www.linkedin.com/in/joseportilla 
Topics Covered 

Course Level  Beginner 
Total Student Reviews  2,415 
Learning Outcomes
 Make a stellar resume for data science.
 Recognize the numerous roles and titles that exist in the data science ecosystem
 Practice answering interview questions about statistics and probability
 Develop knowledge of effective experiment design
 Learn how to answer SQL interview questions
Course Content
S.No.  Module (Duration)  Topics 

1.  Course Overview (13 minutes)  Course Overview Lecture 
Curriculum Overview  
Frequently Asked Questions  
2.  Data Science Career Overview (14 minutes)  Why choose a career in Data Science? 
Data Science is Interdisciplinary  
Data Science Position and Titles  
Thoughts on Higher Education  
3.  Data Science Interview Preparation (19 minutes)  Introduction to Interview Preparation 
Technical Tools of the Trade  
Theory Knowledge  
Machine Learning Knowledge  
Software Knowledge  
How do I know when I’m ready?  
4.  The Data Science Interview Process (30 minutes)  Resumes 
Interview Process  
Landing Interviews  
Negotiating Offers  
5.  Probability Theory Interview Questions (31 minutes)  Introduction to Probability Interview Questions 
Probability Question 1  
Solution for Probability Question 1  
Probability Question 2  
Solution for Probability Question 2  
Probability Question 3  
Solution for Probability Question 3  
Probability Question 4  
Solution for Probability Question 4  
Probability Question 5  
Solution for Probability Question 5  
Probability Question 6  
Solution for Probability Question 6  
Note about Probability Interview Question 7  
Probability Question 7  
Solution for Probability Question 7  
Probability Question 8  
Solution for Probability Question 8  
Probability Question 9  
Solution for Probability Question 9  
6.  Statistics Interview Questions (27 minutes)  Introduction to Statistics Interview Questions 
Statistics Interview Question 1  
Solution for Statistics Interview Question 1  
Statistics Interview Question 2  
Solution for Statistics Interview Question 2  
Statistics Interview Question 3  
Solution for Statistics Interview Question 3  
Statistics Interview Question 4  
Solution for Statistics Interview Question 4  
Statistics Interview Question 5  
Solution for Statistics Interview Question 5  
7.  Product Analysis and Business Metrics Interview Questions (21 minutes)  Introduction to Product Design and Metrics 
Product Design and Metrics – Interview Question 1  
Product Design and Metrics – Interview Question 1 – Solution  
Product Design and Metrics – Interview Question 2  
Product Design and Metrics – Interview Question 2 – Solution  
Product Design and Metrics – Interview Question 3  
Product Design and Metrics – Interview Question 3 – Solution  
Product Design and Metrics – Interview Question 4  
Product Design and Metrics – Interview Question 4 – Solution  
Product Design and Metrics – Interview Question 5  
Product Design and Metrics – Interview Question 5 – Solution  
8.  Working with Data Interview Questions (10 minutes)  Introduction to SQL Questions 
Data with SQL – Interview Question 1  
Data with SQL – Interview Question 1 Solution  
Data with SQL – Interview Question 2  
Data with SQL – Interview Question 2 – Solution  
Data with SQL – Interview Question 3  
Data with SQL – Interview Question 3 – Solution  
Data with SQL – Interview Question 4  
Data with SQL – Interview Question 4 – Solution  
Data with SQL – Interview Question 5  
Data with SQL – Interview Question 5 – Solution  
9.  Machine Learning Interview Questions (24 minutes)  Introduction to Machine Learning Interview Questions 
Machine Learning Interview Question 1  
Machine Learning Interview Question 1 – Solution  
Machine Learning Interview Question 2  
Machine Learning Interview Question 2 – Solution  
Machine Learning Interview Question 3  
Machine Learning Interview Question 3 – Solution  
Machine Learning Interview Question 4  
Machine Learning Interview Question 4 – Solution  
Machine Learning Interview Question 5  
Machine Learning Interview Question 5 – Solution  
Machine Learning Interview Question 6  
Machine Learning Interview Question 6 – Solution  
Machine Learning Interview Question 7  
Machine Learning Interview Question 7 – Solution  
Machine Learning Interview Question 8  
Machine Learning Interview Question 8 – Solution  
Machine Learning Interview Question 9  
Machine Learning Interview Question 9 – Solution  
Machine Learning Interview Question 10  
Machine Learning Interview Question 10 – Solution  
10.  Design of Experiments Interview Questions (17 minutes)  Introduction to Design of Experiments 
Design of Experiments Interview Question 1  
Design of Experiments Interview Question 1 – Solution  
Design of Experiments Interview Question 2  
Design of Experiments Interview Question 2 – Solution  
Design of Experiments Interview Question 3  
Design of Experiments Interview Question 3 – Solution  
Design of Experiments Interview Question 4  
Design of Experiments Interview Question 4 – Solution  
11.  Coding Questions (29 minutes)  Introduction to Coding Section 
Coding Interview Question 1  
Coding Interview Question 1 – SOLUTION  
Coding Interview Question 2  
Coding Interview Question 2 – SOLUTION  
Coding Interview Question 3  
Coding Interview Question 3 – SOLUTION  
Coding Interview Question 4  
Coding Interview Question 4 – SOLUTION  
12.  BONUS SECTION: THANK YOU! (10 seconds)  Bonus Lecture: 
Resources Required
 Knowledge of statistics and probability Python or R programming expertise is required
 Knowledge of SQL
 Knowing how to use machine learning algorithms
Featured Review
Stephen Rauner (5/5): Very much worth the money I paid for the course. It’s nice to have this insider knowledge of what the Data Science Recruiters are looking for knowledgewise
Pros
 Simon Larsson (5/5): Jose is my boi, so I trust that this will be good.
 Baolin Liu (4/5): I would say this is a good start, but now I am going to go more indepth with the PDF material.
 Charles Long (5/5): The course provided an excellent roadmap as to what needs to be done if one wants to pursue a career in Data Science.
 Jannathul Firdous (4/5): I liked the modular approach which was implemented in this course
Cons
 Ali Khodadadi (2/5): I bought this course based on other courses the instructor has (SQL).
 Niraj Kumar (2/5): the answers should be described clearly, actually I mean that they should be elaborated on clearly
About the Author
The instructor of this course is Jose Portilla who is a Head of Data Science at Pierian Training with a 4.6 instructor rating and 977,223 reviews on Udemy. He/she offers 57 Courses and has taught 3,142,403 students so far.
 Jose Marcial Portilla holds degrees in mechanical engineering from Santa Clara University (BS and MS), and he has years of experience working as a qualified instructor and trainer for Python programming, machine learning, and data science
 He has written articles and received patents in a number of disciplines, including data science, materials science, and microfluidics
 He has acquired a set of abilities for data analysis throughout the course of his career, and he wants to combine both his teaching and data science knowledge to educate others on the power of programming, how to analyze data, and how to display the data in attractive visualizations
 He currently serves as the Head of Data Science for Pierian Training, where he trains people at prestigious organizations like General Electric, Cigna, The New York Times, Credit Suisse, McKinsey, and others in data science and python programming onsite
Comparison Table
Parameters  Data Science Career Guide – Interview Preparation  Careers in Data Science AZ™  Statistics for Business Analytics and Data Science AZ™ 

Offers  INR 455 (  INR 455 (  INR 455 ( 
Duration  4 hours  3.5 hours  6 hours 
Rating  4.7 /5  4.6 /5  4.5 /5 
Student Enrollments  19,764  12,554  57,350 
Instructors  Jose Portilla  Kirill Eremenko  Kirill Eremenko 
Register Here  Apply Now!  Apply Now!  Apply Now! 
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