Data Analysis & Python: Master Pandas & NumPy for Data Cleaning, Manipulation, Visualization, and Exploration.
Sub Category
- Other IT & Software
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Objectives
- Understand the core concepts of data analysis and the role of Python in the data science ecosystem.
- Master NumPy arrays for efficient numerical computations, array manipulation, and broadcasting techniques.
- Perform robust data manipulation and analysis using Pandas DataFrames and Series.
- Load and save data from various sources including CSV, Excel, JSON, and SQL databases
- Clean and preprocess messy datasets by handling missing values, duplicates, and inconsistent data types.
- Apply advanced indexing, selection, and filtering techniques to extract specific data subsets.
Pre Requisites
- Basic understanding of Python programming concepts (variables, data types, loops, functions).
- No prior experience with Pandas or NumPy 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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