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Data Analysis and Visualization in Python for Ecologists: Summary and Setup

This lesson introduces data specialists to using Python and pandas for cleaning, transforming, analyzing, and visualizing real-world datasets. Aimed at beginners in data science, it covers key ETL workflows, exploratory data analysis, and chart creation—directly supporting the core competencies of a Data Specialist.

Keywords:: data analysis, pandas, data cleaning, Python, data visualization, ETL, beginner tutorial, data specialist

Disciplines:

Science and Technology / Information Technology / Data and Information Management

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More about this material

Material Type:: Tutorial
Date Added to MERLOT:: June 28, 2025
Date Modified in MERLOT:: June 28, 2025
Author:: Software Carpentry, The Carpentries
Submitter:: Xian Chen
Primary Audience:: College Upper Division, Professional
Technical Format:: Website

Mobile Compatibility:: Not specified at this time
Technical Requirements:: • Internet connection and a modern web browser (Chrome, Firefox, Safari) • Python 3.x installation (e.g. via Anaconda) • Jupyter Notebook or JupyterLab environment • Python libraries: pandas, NumPy, matplotlib
Language:: English
Cost Involved:: No
Source Code Available:: Yes
Creative Commons:: This work is licensed under a Attribution 4.0 International