1. How can you deploy a machine learning model? 2. Use cases of decision trees and matrix 3. The difference between R-square and adj R square
Data Intern Interview Questions
7,487 data intern interview questions shared by candidates
1. what is random forest? 2. given a dataset, what would be the output of the k-means algorithm? 3. what is a CNN? 4. why do you want to join walmart? 5. suppose you roll a die and earn whatever face you get. what is the expected return? 6. now suppose you have a chance to roll a second die. if you roll, you forfeit your earnings from the first round. when should you roll the second time?
1. OA 2. Data Challenge 3. All data science concepts. Probab, Stats, modelling
How you can filter out element from a list?
jkk 1. What is linear regression? Explain steps for modelling 2. What do you mean by R square and adjusted R square? 3. What is logistic regression? Explain steps for modelling 4. Forecasting methods like time series, ARIMA etc. 5. Basics of Tableau 6. Basic SQL queries 7. libraries of python and basic coding skills (hardly any questions related to this are asked) 8. Any analytics projects you have worked on or competitions you have participated in?
Which of the following proposition is true
probability, distributions, normalization, models, coding
tell me something about your self.
When are you going graduate? Are you willing to relocate?
In a Data Analyst Intern interview at Deloitte, candidates can expect a range of questions to assess their analytical and technical skills, as well as their fit within the company culture. Here are some common types of questions: Technical and Analytical Questions: How would you approach cleaning and preprocessing a messy dataset? Can you explain a complex statistical concept or method you've used in the past? Walk me through your experience with data visualization tools. Problem-Solving and Case Study Questions: Given a specific business scenario, how would you design an analysis to derive actionable insights? Can you solve a hypothetical data-related problem and explain your thought process? Behavioral Questions: Describe a situation where you had to work on a challenging team project. How did you handle it? How do you prioritize and manage multiple tasks with tight deadlines? Technical Tools and Programming: What programming languages are you proficient in for data analysis? Have you used specific data analysis or business intelligence tools? Industry and Company-Specific Knowledge: What do you know about Deloitte's approach to data analytics and its impact on the industry? How do you stay updated on the latest trends and technologies in data analytics? Prepare for a combination of these types of questions to showcase your technical skills, problem-solving abilities, and cultural fit within Deloitte. Additionally, be ready to discuss your past experiences and projects in detail to demonstrate your practical application of data analysis skills.
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