Can You Solve These 3 Data Analysis Puzzles? (AnalystBuilder & Python Pandas)
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Join me as I dive into the Analyst Builder platform created by fellow YouTuber @AlexTheAnalyst! In this video, we tackle a series of Python programming challenges, demonstrating real-time problem-solving and coding skills. We navigate through various tasks, from identifying high-risk heart attack patients using data analysis to manipulating strings and solving complex data queries. Whether you're a seasoned programmer or just starting, this video offers insights into Python programming and practical data analysis techniques.
Highlights
Overview of Analyst Builder platform and its user-friendly interface.
Coding session solving Python problems related to data analysis and manipulation.
Detailed walkthrough of three distinct challenges: heart attack risk assessment, customer data anonymization, and sales data analysis for a bakery contest.
Python & Programming Skills Used:
Writing efficient Python queries to extract specific data from data frames.
Utilizing Pandas for data analysis, including conditional filtering, sorting, and grouping.
Implementing string manipulation techniques for data anonymization.
Leveraging pivot tables for comparative analysis of sales data.
Dynamic problem-solving and debugging using Python in a real-world scenario.
If you have any questions, let me know in the comments!
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Video timeline!
0:00 - Overview & Getting Started
0:50 - 1. Predicting Heart Attack Risk (Easy Problem)
6:44 - 2. Data Anonymization (Medium Problem)
11:53 - 3. Dessert Duel (Hard Problem)
Keywords: #Python #Pandas #DataAnalysis #AnalystBuilder #ProblemSolving #Coding #Tutorial #DataScience
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