Fundamental Data Analysis and Visualization Tools in Python
Fundamental Data Analysis and Visualization Tools in Python
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
- Create presentable data visualizations with Python
- Learn how to analyze data with Python
- Make interactive data visualizations using the Plotly module
- Learn how to create plots from your data using Matplotlib, and Seaborn
- Analyze data using the Pandas library to create and structure data
- Analyze data using the NumPy library to create and manipulate arrays
- Use the Jupyter Notebook Environment
Requirements
- Basic to Intermediate Python Skills
- Basic math skills
- 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!
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