Aspire     Data Analyst to Data Scientist     Data Science Track 3: Data Ops

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Perform data ops tasks with Python including working with row subsets, creating new columns with Regex, performing joins and spreading rows. Then, test your skills by answering assessment questions after working with field subsets and computed columns, and performing set operations and binding rows.
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

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