https://github.com/timkong21/ibm-data-science-professional-certificate
About IBM Data Science Professional Certificate helps build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models.
https://github.com/timkong21/ibm-data-science-professional-certificate
classification clustering data-analysis data-science data-visualization exploratory-data-analysis folium ibm-watson ibmdb2 machine-learning matplotlib numpy pandas plotly-dash python regression scipy seaborn sql webscraping
Last synced: about 1 month ago
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About IBM Data Science Professional Certificate helps build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models.
- Host: GitHub
- URL: https://github.com/timkong21/ibm-data-science-professional-certificate
- Owner: TimKong21
- Created: 2021-07-30T17:48:09.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-11-03T04:01:49.000Z (over 3 years ago)
- Last Synced: 2025-03-31T02:19:08.511Z (about 1 month ago)
- Topics: classification, clustering, data-analysis, data-science, data-visualization, exploratory-data-analysis, folium, ibm-watson, ibmdb2, machine-learning, matplotlib, numpy, pandas, plotly-dash, python, regression, scipy, seaborn, sql, webscraping
- Language: Jupyter Notebook
- Homepage:
- Size: 18 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# IBM Data Science Professional Certificate
## About this Professional Certificate
refer to [Coursera](https://www.coursera.org/professional-certificates/ibm-data-science)
## To view interactive features of Jupyter Notebook
The interactive features of the notebook, such as custom JavaScript plots, will not work in repository on GitHub. For example, see [Analyzing-US-Economic-Data-and-Building-a-Dashboard.ipynb](https://github.com/TimKong21/IBM-Data-Science-Professional-Certificate-Projects/blob/main/Python%20basics/Final%20Assignment/Analyzing%20US%20Economic%20Data%20and%20Building%20a%20Dashboard.ipynb) from a repository.
To view Jupyter notebook with JavaScript content rendered, please paste the link to the notebook on [nbviewer](https://nbviewer.jupyter.org/). For example, see [Analyzing-US-Economic-Data-and-Building-a-Dashboard.ipynb](https://github.com/TimKong21/IBM-Data-Science-Professional-Certificate-Projects/blob/main/Python%20basics/Final%20Assignment/Analyzing%20US%20Economic%20Data%20and%20Building%20a%20Dashboard.ipynb) rendered on nbviewer.