Скачать или смотреть Python Interview Test Example for Data Analyst 2025 | Difficult Level

Are you ready for a challenging Python coding test tailored for senior data analysts? In this video, we tackle a difficult interview test designed to assess advanced data analysis skills. With just 20 minutes to solve 6 complex questions, we demonstrate how to approach each task methodically, explaining the theory and thought process behind every solution.

Here’s what’s covered:
1. Grouping & Aggregating - Learn to group data and perform advanced aggregations for actionable insights.
2. Conditioning & Aggregating - Master filtering data with conditions while applying aggregation functions in a single query.
3. Grouping with External Lists - Tackle real-world challenges by grouping and aggregating data using criteria from another table.
4. JOINs & Aggregations - Combine data from multiple sources with JOINs and aggregate it to deliver concise results.
5. Data Cleaning & Calculated Fields - Handle messy datasets by cleaning data and creating new calculated columns during analysis.
6. Pivoting Data - Understand how to reshape data with PIVOT to create more readable and insightful views.
7. FOR Loops - Use Python loops efficiently for repetitive tasks and data manipulation.
8. Conditional Column Creation - Add new columns dynamically using CASE-like logic and complex conditions.

Key Learning Points:
• Learn how to approach high-pressure interview scenarios and break down complex questions into manageable steps.
• Explore advanced Python techniques used by senior data analysts in real-world scenarios.
• Build confidence in handling multi-layered tasks such as combining data, reshaping, and applying dynamic transformations.

Whether you’re preparing for a senior data analyst role or refining your Python expertise, this video is packed with insights to take your skills to the next level.

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🔗 Chapters:
00:00 – Intro
01:09 – Raw Data
02:19 – Question 1: JOINs, Aggregations ,Group by, Conditions & Sort
08:32 – Question 2: Cleaning, RANK & Sorting
11:55 – Question 3: Cleaning , Multiple Joins & Aggregations
16:30 – Question 4 – Calculated Fields, Aggregations, PIVOTs
21:57 – Question 5 – For Loop, Aggregations, Updates

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