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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!
If you enjoyed this video, make sure to throw it a like & subscribe for all future content :)
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
-------------------------
Follow me on social media!
-------------------------
Practice your Python Pandas data science skills with problems on StrataScratch!
Join the Python Army to get access to perks!
*I use affiliate links on the products that I recommend. I may earn a purchase commission or a referral bonus from the usage of these links.
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!
If you enjoyed this video, make sure to throw it a like & subscribe for all future content :)
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
-------------------------
Follow me on social media!
-------------------------
Practice your Python Pandas data science skills with problems on StrataScratch!
Join the Python Army to get access to perks!
*I use affiliate links on the products that I recommend. I may earn a purchase commission or a referral bonus from the usage of these links.
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