“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 go-to 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 in-depth 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 |
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| 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 knowledge-wise
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 in-depth 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 on-site
Comparison Table
| Parameters | Data Science Career Guide – Interview Preparation | Careers in Data Science A-Z™ | Statistics for Business Analytics and Data Science A-Z™ |
|---|---|---|---|
| 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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