Python Data Analysis: Master Pandas DataFrames, NumPy Array Operations, Indexing, and Data Cleaning through hands-on pra
Sub Category
- IT Certifications
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Objectives
- Fluently apply Pandas methods for slicing, indexing, and selecting data from DataFrames and Series.
- Master fundamental NumPy array creation, manipulation, broadcasting, and universal function application.
- Efficiently handle missing data (NaN values) using various techniques like dropping, filling, and interpolation.
- Efficiently handle missing data (NaN values) using various techniques like dropping, filling, and interpolation.
- Combine multiple datasets effectively using merge, join, and concatenate operations in Pandas.
- Reshape and pivot DataFrames for analysis using functions like pivot_table and melt.
- Write highly optimized, vectorized code using NumPy to drastically improve performance over standard Python loops.
- Clean and preprocess messy, real-world datasets, preparing them for downstream machine learning models.
- Implement powerful time series indexing and manipulation techniques for chronological data analysis.
- Apply conditional selection and boolean mask indexing across both Pandas DataFrames and NumPy arrays.
- Develop strong troubleshooting skills essential for debugging complex data manipulation scripts.
Pre Requisites
- Familiarity with Python basics (variables, loops, functions, basic data structures like lists and dictionaries).
- Basic understanding of how data analysis works (conceptual).
- A working installation of Python (3.7+) and Anaconda/Jupyter environment.
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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