Learn Data Analysis Techniques with Python, NumPy, and Pandas: From Data Cleaning to Advanced Visualization
Sub Category
- Data Science
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Objectives
- Introduction to Jupyter Notebook
- Basic Python programming concepts
- Installing NumPy & Pandas
- Creating NumPy arrays from Python lists
- Mathematical functions in NumPy
- Reading and writing files with NumPy
- Creating and understanding DataFrames
- DataFrame indexing and selection
- Adding, removing, and updating data
- Data filtering, sorting, and grouping
- Time series analysis and manipulation
- Identifying and handling missing data
- Merging, joining, and concatenating DataFrames
- Applying functions to DataFrames
- Customizing plots (titles, labels, colors)
- Creating complex visualizations (histograms, scatter plots, box plots)
- Memory optimization techniques
Pre Requisites
- No prior knowledge 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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