Master Data Science with Pandas: Hands-on Practice Tests, Data Cleaning, Indexing, and Aggregation.
Sub Category
- Other IT & Software
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Objectives
- Evaluate data manipulation proficiency by solving practical MCQs covering Pandas Series and DataFrame operations.
- Master data cleaning techniques through questions focused on handling missing values, duplicates, and data type conversions.
- Demonstrate competency in data transformation by applying advanced filtering, indexing, and reshaping logic in a test environment.
- Analyze and aggregate datasets using specialized questions on groupby, pivot tables, and time-series resampling methods.
Pre Requisites
- Basic knowledge of Python programming is recommended. No prior experience with Pandas or data analysis libraries is required;
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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