What You'll Learn
- 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
Requirements
- No prior knowledge is required.
Who This Course is For
- Anyone looking to enhance their data analysis skills using Python
- Beginners interested in data analysis with Python
- Data enthusiasts looking to gain in-demand skills
Your Instructor
Sara Academy
Programmer | Android Developer | Web Designer | Instructor
4.2 Instructor Rating
13,648 Reviews
369,132 Students
33 Courses
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