Data Science Interview Questions | Data Science Interview Questions and Answers with Tips
In this Data Science interview prep video, Jaidev Deshpande, Senior Data Scientist at Gramener and Mentor at Springboard, discusses the most asked Data Science interview questions and the best ways to answer them. Data Scientists are in high demand today and cracking a Data Science interview could be your first step towards cracking open a rewarding and lucrative Data Science career. This video is suitable for technology professionals just starting up with Data Science tutorials and also for those who are preparing for Data Science jobs. You will also find expert tips to build a Data Scientist resume in this video. Here are the questions that are answered in this interview preparation video:
0:16 Data Science in 1 minute
2:14 3 Things Hiring Managers Look for in a Data Scientist?
4:43 Any background preference you have while hiring?
8:19 Statistics- Differentiate between univariate, bivariate and multivariate analysis.
10:56 What is root cause analysis?
15:02 What is data preparation? Why is it important?
18:13 How does data cleaning play a vital role in the analysis?
21:07 Machine Learning- What is the difference between supervised and unsupervised machine learning?
23:32 Explain the Decision Tree algorithm in detail?
25:22 What do you understand by the term recommender systems? Where are they used?
29:48 What would you use for text analysis? Python or R?
31:12 In problem-Solving, how will you determine which Data Science Algorithm to choose?
35:48 Guess- Estimates /Guesstimates- How many tennis balls can you fit into an airplane?
38:56 Tools/ Languages- Does companies expect a candidate to know many tools and languages?
42:38 An advice to aspiring Learners out there
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Who are we?
Springboard is an online learning platform that helps you master in-demand skills through a personal 1:1 mentor-led model and a project-driven curriculum. Over the last 6+ years, we have served 10K+ learners in 100+ countries. We are now in India and are offering Career Track programs in Data Science, Data Analytics and AI/ML along with job guarantee.
Apply here: http://bit.ly/2kJhGnU
The Springboard Experience: What do you get?
At Springboard, we offer career track courses that are structured to fit into your life where you can learn at your own pace with 1-on-1 mentorship from industry experts and support from student advisors and career coaches.
Data Science Career Track: Program Overview:
-Course Structured for Working Professionals
-15 Case Studies and Assignments
-Weekly 1:1 Mentoring Sessions with Industry Experts
-Student Advisor to help you complete the course
-450+ Hours of Learning
-Teaching Associate for Code Reviews
-No Cost EMI Option
-Weekly Office Hours with AI Experts
Top Skills You Will Learn in the career track course:
Python Data Science Stack, Data Wrangling, Exploratory Data Analysis, Data Visualisation, Statistical Inference, Data Science at Scale, Machine Learning Specialisation.
Tools Covered in the career track course:
Python data science toolbox, Scikit Learn, Spark/PySpark, Pandas, SQL/NoSQL, Keras/TensorFlow, SparkML.
Projects and Case Studies:
-JSON Bases data exercises
-API Mini Project
-SQL Mini Project
-Human Body Temperature using EDA
-Examine racial discrimination using EDA
-Reduce hospital readmission using EDA
-Linear regression using Boston housing data set
-Heights and weights using logistic regression
-Predictive movie ratings and reviews using Naive Bayes
-Segmentation using Clustering
-MapReduce with Spark
Job Opportunities available post the course completion:
Data Scientist, Data Analyst, Data Engineer, Machine Learning Engineer, and others.
For more information, please write to us at firstname.lastname@example.org or call us at +91 7483024691 or +91 7483024694