Top 30 Data Analyst Interview Questions and Answers |Data Analytics Interview Questions-HKRTrainings
Ace your next data analyst interview with this comprehensive guide to the most frequently asked questions! From basics to advanced concepts, this video covers key topics like data cleaning, statistical analysis, SQL queries, data visualization, and real-world problem-solving scenarios. Gain insights into handling missing data, outliers, and effective storytelling with data. Perfect for beginners and professionals, this tutorial will boost your confidence and prepare you for success! 🚀
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Table of content :
0:00 HKR Trainings
0:20 What are the responsibilities of a Data Analyst?
16:19 Write some key skills usually required for a data analyst.
22:43 What is the data analysis process?
32:32 What are the tools useful for data analysis?
35:50 Write the difference between data mining and data profiling.
39:57 Explain Outlier
45:22 What are the ways to detect outliers? Explain different ways to deal with it.
51:16 Write difference between data analysis and data mining
52:55 What do you mean by data visualization?
55:07 Mention some of the python libraries used in data analysis.
56:31 Write characteristics of a good data model
58:51 Explain Collaborative Filtering
1:00:57 What do you mean by Time Series Analysis? Where is it used?
1:02:45 What is a Pivot table? Write its usage.
1:05:04 What are the Advantages of using version control?
1:07:15 Mention some of the statistical techniques that are used by Data Analysts.
1:08:18 What's the difference between a data lake and a data warehouse?
1:10:26 Can you mention a few problems that data analyst usually encounter while performing the analysis?
1:12:55 what is the KNN imputation method?
1:14:28 What is the framework developed by Apache for processing large dataset for an application in a distributed computing environment?
1:16:06 What is A/B Testing?
1:18:02 What are different types of Hypothesis Testing?
1:20:09 Which data validation methods are used in data analytics?
1:21:42 What is the difference between the true positive rate and recall?
1:24:45 What is an Affinity Diagram?
1:25:25 What is the Metadata?
1:26:35 Explain how to deal with multi-source problems?
1:27:52 Which questions should you ask the user/client before you create a dashboard?
1:29:08 Why is KNN used to determine missing numbers?
1:29:33 What is the difference between linear regression and logistic regression?
1:31:12 What is difference between R-squared and adjusted R-squared?
1:32:38 Name different sections of a pivot table?
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