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IBM_Python_Data_Science_and_AI

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ai bokeh-dashboard data-science ibm-watson pandas python3

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Name		Name	Last commit message	Last commit date
3-1.2ExcecptionHandling.ipynb		3-1.2ExcecptionHandling.ipynb
FinalAssignment.ipynb		FinalAssignment.ipynb
LICENSE		LICENSE
PY0101EN-1-1-Types (1).ipynb		PY0101EN-1-1-Types (1).ipynb
PY0101EN-1-2-Strings.ipynb		PY0101EN-1-2-Strings.ipynb
PY0101EN-2-1-Tuples.ipynb		PY0101EN-2-1-Tuples.ipynb
PY0101EN-2-2-Lists.ipynb		PY0101EN-2-2-Lists.ipynb
PY0101EN-2-3-Dictionaries.ipynb		PY0101EN-2-3-Dictionaries.ipynb
PY0101EN-2-4-Sets.ipynb		PY0101EN-2-4-Sets.ipynb
PY0101EN-3-1-Conditions.ipynb		PY0101EN-3-1-Conditions.ipynb
PY0101EN-3-2-Loops.ipynb		PY0101EN-3-2-Loops.ipynb
PY0101EN-3-3-Functions.ipynb		PY0101EN-3-3-Functions.ipynb
PY0101EN-3-4-Classes.ipynb		PY0101EN-3-4-Classes.ipynb
README.md		README.md

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Python-for-Data-Science-and-AI

Includes done labs for the IBM course on Coursera "Python for Data Science and AI"

Learning outcomes:

Build programs in Python
Learn about Python fundamentals, Python data structures, and working with data in Python
Become familiar with key Python functions, objects, and classes
Working with APIs
Data Collection and Webscraping on csv, xml, json, xlsx

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ai bokeh-dashboard data-science ibm-watson pandas python3

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