How to Know That You're Ready
Get ready for data science interviews.
We'll cover the following...
- Familiarize yourself with interview questions
- Review basic statistics and probability concepts
- Brush up on linear algebra and matrix operations
- Understand the basics of ML algorithms
- Review basic programming concepts
- Practice explaining your solutions
- Participate in data science projects and competitions
- Build a portfolio of your work
- Be prepared to talk about your experience and skills
When you learn data science, you want to know when you’ll be ready for interviews so that you can start applying for jobs, and it is hard to find the answer. It is not easy to analyze your skills and level of expertise, but there is a way to do it. In this lesson, you’ll find some suggestions that will help you understand whether you are ready or not. If you are doing the things given in these suggestions, then you are likely ready for the real interview.
Familiarize yourself with interview questions
The last section of this course provides a broader look at the type of interview questions since it is impossible to compile everything here. Here are some suggestions for becoming familiar with interview questions:
Research: Look up common data science interview questions online and list those likely to come up during the interview.
Practice: Try answering the questions independently, and then compare your answers to sample responses to see where you need improvement.
Utilize resources: Several resources are available online, such as Glassdoor, Quora, and blog posts that provide sample data science interview questions and answers.
Join a community or forum: Participate in discussions, ask and answer questions, and engage with other data scientists.
Mock interviews: Practice answering common data science interview questions with a friend, mentor, or professional service providing mock interviews for a more realistic experience.
Know the specifics: It's also important to review any specific technologies or tools that the company you are interviewing with uses and be prepared to answer questions about them.
Be familiar with the company: Research the company you are interviewing with and review its mission, values, product, and services. This may help you to tailor your answers to their specific interests and areas of expertise.
Review basic statistics and probability concepts
It's common to get questions from statistics in a real data science interview because statistics forms the base of data science. Here are a few things you should do to become data science interview ready:
Review basic probability: Understand basic probability concepts, such as conditional probability, Bayes' theorem, and independence and dependence of events.
Review basic statistics: Understand measures of central tendency (mean, median, mode), measures of dispersion (range, variance, standard deviation), probability distributions (normal, binomial, Poisson), and statistical ...