- Create IBM Cloud account using this link [https://ibm.biz/BdqZEJ].
- Follow steps in this video to create
- Some slides - [https://slides.com/upkar/pandas-series]
✅ how to obtain/read a data file using pandas
✅ how to clean noise in data
✅ selecting and querying data
✅ filtering data
✅ simple graphing of data
✅ aggregrate and summarize data using groupby
✅ merge multiple data into a single dataframe
✅ use SQL like queries
- https://github.com/CSSEGISandData/COVID-19
- https://www.kaggle.com/roche-data-science-coalition/uncover#total-covid-19-tests-performed-by-country.csv
Introduction to Jupyter Notebooks on Watson Studio
- Pandas Documentation - http://pandas.pydata.org/pandas-docs/stable/
- .str. methods on Pandas Series - http://pandas.pydata.org/pandas-docs/stable/reference/series.html#string-handling
- Plotting in Pandas - http://pandas.pydata.org/pandas-docs/stable/user_guide/visualization.html
- Brandon Rhodes pycon video - https://www.youtube.com/watch?v=5JnMutdy6Fw
- Kaggle for datasets and sample Jupyter notebooks - https://www.kaggle.com/datasets
- SF open data - https://datasf.org/opendata/
- Free Watson Studio Desktop for Universities - https://www.ibm.com/products/watson-studio-desktop
- IBM Cloud Sign up - https://ibm.biz/Bd2XTE
- IBM Data Science courses on Coursera
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The video is paused for me, what do I do?
You have to hit the play button in some browsers as the video does not auto play.
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Is this webinar being recorded?
Yes, the webinar is being recorded, you can view the replay on the same link once the event ends.
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Where are the slides?
See the links above for workshops and resources for each of the sessions.
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Do you have study materials or courses available?
See additional links above for additional reading materials
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Do you have a certification ?
There is no certification provided at this point, but IBM offers a number of courses and certifications on Coursera and Cognitive.ai. See the section above for a listing.
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How do I access the replays of the individual sessions?
You can access the individual sessions by using the drop down in the top left corner as shown in the screenshot below.
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Who can attend these sessions?
Developers, data scientists, analysts and architects. Anyone interested in working with and exploring data.