Data Science on Google Cloud Platform
Exploratory Data Analytics
Advance Your Skills in Predictive Analytics,
Cloud computing brings unlimited scalability and elasticity to data science applications. Expertise in the major platforms, such as Google Cloud Platform (GCP), is essential to the IT professional. This course—one of a series by cloud engineering specialist and data scientist Kumaran Ponnambalam—shows how to conduct exploratory data analytics with GCP. First, review the concepts of segmentation and profiling. Then get hands on, as you learn to perform both text and visual analysis of data using tools provided by GCP: Cloud Datalab, BigQuery, Cloud Dataflow, and Data Studio. Finally, look at an end-to-end use case that applies what you've learned in the course.
Contents:
- Introduction
- 1. Exploration Options in GCP
- 2. Cloud Datalab Basics
- 3. Datalab: BigQuery
- 4. Datalab: Cloud Storage
- 5. Datalab: Visualizations
- 6. EDA with GCP: Use Case
- 7. Managing Datalab
- Conclusion
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| Rating | Not enough ratings |
|---|---|
| Length | 57m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Kumaran Ponnambalam |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Data Science IT & Networking |
| Tags | Data Analysis IT Big Data Big Data Analytics |
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| Rating | Not enough ratings |
|---|---|
| Length | 57m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Kumaran Ponnambalam |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Data Science IT & Networking |
| Tags | Data Analysis IT Big Data Big Data Analytics |
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