Data science job interviews can be daunting. Technical interviewers often ask you to design an experiment or model. You may need to solve problems using Python and SQL. You will likely need to show how you connect data skills to business decisions and strategy.
In this course, you'll review the common questions asked in data science, data analyst, and machine learning interviews. You'll learn how to answer machine learning questions about predictions, underfitting and overfitting. You'll walk through typical data analyst questions about statistics and probability. Then, you'll dive deeper into the data structures and algorithms you need to know. You'll also learn tips for answering questions like, "Tell me about one of your recent projects." At the end of the course, you'll have a chance to practice what you've learned. You'll receive a link for unlimited mock interviews on Pramp. Practice the skills you need to show up for your data science interview with confidence!
Ace the Data Scientist Interview
Explore jobs and roles in Data Science,Learn how to effectively solve problems
Data Analysis Interview Practice
Query a SQL database,Evaluate free throw probability,Maximize difference in an integer array and design a spam classifier
Machine Learning Interview Practice
Predict rain, identify fish, detect plagiarism,Reduce data dimensionality,Explore how SVMs work
Practice Mock Interviews with Pramp!
Master behavioral interview questions,Learn how to get past interview "fails"