Python Interview Test Questions and Answers for Data Analyst 2024 | Top 5

Are you preparing for a Python interview for a Data Analyst role? In this video, we dive into the Top 5 Most Commonly Asked Python Questions with realistic, hands-on examples to help you ace your next test. Each question type is explained with multiple code examples to ensure you grasp the key concepts and techniques needed to impress your interviewer.

Here’s what we cover:
1. Aggregations - Learn to compute SUM, AVERAGE, MIN, MAX, and COUNT to summarize your data effectively.
2. Conditioning & Filtering - Master techniques to filter your data using multiple conditions with tons of practical examples.
3. Dataframe JOINs - Discover how to bring data together by merging multiple DataFrames for real-world data analysis.
4. Creating New Calculated Fields - Explore various techniques to create custom fields, from mathematical operations to complex transformations.
5. For Loops - Learn how to iterate efficiently over your data to solve repetitive tasks with clean and concise code.

Whether you’re preparing for a Python interview or brushing up on your data analysis skills, this video provides the insight, tips, and confidence you need to succeed. Perfect for beginners and intermediate learners alike.

🔔 Don’t forget to like, share, and subscribe for more Python tutorials, interview tips, and data analyst resources!

🔗 Chapters:
00:00 – Intro
01:00 – Raw Data
01:56 – Question 1 – Conditions
08:37 – Question 2 – Aggregations
14:09 – Question 3 – JOINs
19:11 – Question 4 – Creating new Fields
21:48 – Question 5 – For Loops

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[YiannisPi]

Let me know what questions did you get in your Python Interview!