- To help you understand the need for data visualization and appreciate its power in data analysis.
- To help you learn the various types of plots that you can create to visualize your data.
- To help you know the various tools that you can use for data visualization, including basic, specialized and advanced tools.
- To help you make the right decision in choosing the tool and the kind of plot to use to visualize your data.
- To help you learn the power of Python in data visualization.
- To equip you with data visualization skills in Python programming language.
- To help you learn the various Python libraries that you can use for data visualization.
- Anyone who needs to know the need for data visualization in an organization.
- Any individual who needs to know the various tools they can use for data visualization.
- Any individual who needs to know the various types of graphics they can use to represent their data and how to interpret the graphics.
- Anybody who needs to learn data visualization in Python using various libraries such as Pandas, Matplotlib, Seaborn and Folium.
- Anyone who needs to learn how to visualize different types of data including textual, numerical and geospatial data.
- BASICS OF DATA VISUALIZATION
- BASIC AND SPECIALIZED DATA VISUALIZATION TOOLS
- ADVANCED VISUALIZATIONS TOOLSEXPLORING THE LIBRARIES
- DATA VISUALIZATION WITH MATPLOTLIBDATA VISUALIZATION WITH PANDAS
- DATA VISUALIZATION WITH SEABORN
- CREATING MAPS AND VISUALIZING GEOSPATIAL DATA