Virtual Practice Labs     Virtual CodeX     CodeX

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Practice performing data analysis tasks using Python by configuring VSCode, loading data from SQLite into Pandas, grouping data and using box plots. Then, test your skills by answering assessment questions after using Python to calculate frequency distribution, measures of center, and coefficient of dispersion.
This lab provides access to several tools commonly used in data science, including:
VS Code
Anaconda
Jupyter Notebook + JupyterHub
Pandas, NumPy, SiPy
Seaborn Library
Spyder IDE
This lab is part of the Data Analyst track of the Aspire Data Science Journey.

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