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Data Processing and Visualization in Analytical Chemistry

Programming Fundamentals in Python → Integrated Workflow for Spectral Data Analysis

This learning path equips chemistry students with essential software skills for processing and visualizing analytical data. It covers programming basics in R and Python, followed by specialized techniques for chromatogram and spectral processing, including baseline correction, peak integration, and multivariate visualization.

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16 steps · 16 nodes · 4 stages

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Path Steps

16 steps · 4 stages. Click any step to inspect it and see it on the Path Map.

Stage 1

Foundation

4 steps

Stage 2

Core Concepts

4 steps

Stage 3

Advanced Topics

4 steps

Stage 4

Specialization

4 steps

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Path Map

Path Steps

Foundation

Core Concepts

Advanced Topics

Specialization

Resources (0)

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