Fundamental Data Analysis and Visualization Tools in Python
Learn how to analyze and visualize data by using Python libraries such as Plotly, Seaborn, Matplotlib, Pandas, and NumPy
What you’ll learn
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Create presentable data visualizations with Python
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Learn how to analyze data with Python
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Make interactive data visualizations using the Plotly module
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Learn how to create plots from your data using Matplotlib, and Seaborn
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Analyze data using the Pandas library to create and structure data
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Analyze data using the NumPy library to create and manipulate arrays
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Use the Jupyter Notebook Environment
Requirements
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Basic to Intermediate Python Skills
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Basic math skills
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A Desire to learn!
Who this course is for:
- Anyone interested in learning more about Python, Data Science, or Data Visualizations
- Developers interested in learning how to Analyze and Visualize data with Python
- Anyone interested about the rapidly expanding world of Data Science!
