Watch 23 Python Pandas Coding Interview Questions [Easy] Video Tutorial

🧠 Don’t miss out! Get FREE access to my Skool community — packed with resources, tools, and support to help you with Data, Machine Learning, and AI Automations! 📈 https://www.skool.com/data-and-ai-automations-4579 In this video, we will be going over 23 different examples of Python Pandas interview questions. Whether you are applying for Data Analyst or Data Scientist jobs, chances are you will have to pass a technical interview coding in Python. Link to Python Pandas Questions*: https://stratascratch.com/?via=ryan 🚀 Hire me for Data Work: https://ryanandmattdatascience.com/data-freelancing/ 👨‍💻 Mentorships: https://ryanandmattdatascience.com/mentorship/ 📧 Email: ryannolandata@gmail.com 🌐 Website & Blog: https://ryanandmattdatascience.com/ 🖥️ Discord: https://discord.com/invite/F7dxbvHUhg 📚 *Practice SQL & Python Interview Questions: https://stratascratch.com/?via=ryan 📖 *SQL and Python Courses: https://datacamp.pxf.io/XYD7Qg 🍿 WATCH NEXT Python Pandas Playlist: https://www.youtube.com/playlist?list=PLcQVY5V2UY4KvHRJ-awaxAPzFGdZ8yN6D Python Data Cleaning: https://youtu.be/iaZQF8SLHJs Python Pandas Merge: https://youtu.be/Fl3VGL3BuAA Python Pandas Explode: https://youtu.be/NNz6yOA_G1A In this comprehensive pandas tutorial, I walk through 23 real coding interview questions from top tech companies like Lyft, Apple, Facebook, Meta, and Amazon. This video is perfect for anyone preparing for data analytics or data science interviews who wants to strengthen their pandas skills. We cover essential pandas techniques including filtering with query(), groupby() operations, merging dataframes, date formatting with dt.strftime(), aggregations like mean() and max(), sorting values, handling duplicates, and advanced data transformations. You'll learn how to approach different problem types systematically, from simple filtering questions to complex multi-table joins and aggregations. Each question is solved step-by-step with clear explanations of the logic behind every operation. I demonstrate common patterns you'll see in real interviews, including working with employee salary data, e-commerce orders, hotel reviews, survey responses, and bike-sharing datasets. By the end, you'll have a solid framework for tackling pandas interview questions confidently. All questions are from StrataScratch, a fantastic platform for practicing real interview questions. Check the link in the description to access these questions yourself and continue practicing. Whether you're preparing for your first data role or brushing up on pandas fundamentals, this video will help you build the skills you need to succeed in technical interviews. TIMESTAMPS 00:00 Introduction - 23 Pandas Interview Questions 00:15 Question 1: Base Pay for Police Captains 04:10 Question 2: Posts with Heart Reactions 07:18 Question 3: Admin Department Employees 11:33 Question 4: Spotify Artist Ranking 14:04 Question 5: MacBook Pro User Events 16:00 Question 6: Most Lucrative Products 22:43 Question 7: Police Captain Salaries 24:17 Question 8: Oscar Nominations 25:23 Question 9: Shipments Per Month 27:32 Question 10: Workers by Department 29:53 Question 11: Unique Users Per Client 34:02 Question 12: Airbnb Property Types 39:42 Question 13: Libraries Without Email 43:08 Question 14: Finding Updated Records 45:12 Question 15: Average Salary Comparison 47:23 Question 16: Lyft Drivers Salary Filter 48:17 Question 17: Order Details 53:55 Question 18: Hotel Arena Reviews 56:42 Question 19: Hack Programming Popularity 1:00:47 Question 20: Most Profitable Financial Company 1:02:47 Question 21: Salary Differences 1:05:40 Question 22: Last Bike Usage 1:08:20 Question 23: Facility Activity Search OTHER SOCIALS: Ryan’s LinkedIn: https://www.linkedin.com/in/ryan-p-nolan/ Matt’s LinkedIn: https://www.linkedin.com/in/matt-payne-ceo/ Twitter/X: https://x.com/RyanMattDS Who is Ryan Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF. Who is Matt Matt is the founder of Width.ai, an AI and Machine Learning agency. Before starting his own company, he was a Machine Learning Engineer at Capital One. *This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.