Data Science Foundations
Python Scientific Stack
Advance Your Data Science Skills in Health Sciences,
Data science provides organizations with striking—and highly valuable—insights into human behavior. While data mining can seem a bit daunting, you don't need to be a highly-skilled programmer to process your own data. In this hands-on course, learn how to use the Python scientific stack to complete common data science tasks. Miki Tebeka covers the tools and concepts you need to effectively process data with the Python scientific stack, including Pandas for data crunching, matplotlib for data visualization, NumPy for numeric computation, and more.
Contents:
- Introduction
- 1. Scientific Python Overview
- 2. The Jupyter Notebook
- 3. NumPy Basics
- 4. Pandas
- 5. Conda
- 6. Folium and Geo
- 7. NY Taxi Data
- 8. scikit-learn
- 9. Plotting
- 10. Other Packages
- 11. Development Process
- Conclusion
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| Rating | Not enough ratings |
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| Length | 3h 34m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Miki Tebeka |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Data Science IT & Networking |
| Tags | Data Analysis IT Big Data Python (Programming Language) |
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| Rating | Not enough ratings |
|---|---|
| Length | 3h 34m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Miki Tebeka |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Data Science IT & Networking |
| Tags | Data Analysis IT Big Data Python (Programming Language) |
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