Data analysis#

Data Analysis: Introduction Podcast by NotebookLM

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

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