# Data analysis

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</svg> <span style="font-size: 24px; margin: 0 6px; vertical-align: bottom">Data Analysis: Introduction Podcast</span>](https://drive.google.com/file/d/1isjtxFa43CLIFlLpo8mwwQfBog9VlXYl/view) by [NotebookLM](https://notebooklm.google.com/)

Once you've prepared the data, your next task is to analyze it to get insights that are not immediately obvious.

In this module, you'll learn:

- **Statistical analysis**: Calculate correlations, regressions, forecasts, and outliers using **spreadsheets**
- **Data summarization**: Aggregate and pivot data using **Python** and **databases**.
- **Geo-data Collection & Processing**: Gather and process geospatial data using tools like Python (GeoPandas) and QGIS.
- **Geo-visualization**: Create and visualize geospatial data on maps using Excel, QGIS, and Python libraries such as Folium.
- **Network & Proximity Analysis**: Analyze geospatial relationships and perform network analysis to understand data distribution and clustering.
- **Storytelling & Decision Making**: Develop narratives and make informed decisions based on geospatial data insights.

[![Data Analysis - Introduction](https://i.ytimg.com/vi_webp/CRSljunxjnk/sddefault.webp)](https://youtu.be/CRSljunxjnk)
