Python Interview Test Example for Data Analyst 2024 | Intermediate Level

Step up your Python skills with this intermediate-level coding test for Data Analysts! In this video, we work through a timed example with 6 practical and challenging questions, covering key concepts you’ll need for real-world data analysis and interviews. Follow along as we explain the theory, demonstrate solutions, and share tips to help you approach similar tasks confidently.

What we cover:
1. Grouping & Aggregating - Learn how to group data and apply aggregation functions like SUM, AVG, and COUNT to uncover insights.
2. Conditioning & Aggregating - Master techniques for filtering data with conditions and combining this with aggregation for targeted analysis.
3. Grouping Based on External Data - Explore grouping and aggregating data using lists or criteria derived from other tables, mimicking real-world tasks.
4. JOINs & Aggregations - Combine data from multiple sources with JOINs and summarize it effectively using aggregation functions.
5. Data Cleaning & Creating New Columns - Handle messy datasets, clean data, and create meaningful new fields during analysis.
6. Conditional Column Creation - Dynamically generate new columns using CASE-like logic and conditional statements to enrich your dataset.

Key Learning Points:
• Understand the thought process behind each solution to develop a deeper understanding of Python for data analysis.
• Gain insights into handling complex interview questions under time constraints.
• Learn practical techniques that are commonly used in day-to-day data analyst roles, such as handling multi-table relationships and performing advanced calculations.

This video is perfect for intermediate Python users preparing for a data analyst interview or looking to sharpen their analytical skills.

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🔗 Chapters:
00:00 – Intro
00:58 – Raw Data
02:10 – Question 1: Aggregations & Group by & Sort
04:30 – Question 2: Joins, Conditions, Aggregations, Group by
07:34 – Question 3: Multiple Joins & Aggregations
12:36 – Question 4 – Cleaning, Multiple aggregations, Conditions, JOINs
17:38 – Question 5 – Identifying missing data

EXCEL:

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[YiannisPi]

Another python test! this one is challenging!! Let me know how long it took you to complete