Google Cloud Digital Leader Cert Prep 2: Innovating with Data and Google Cloud
1h 25mBeginner2023-06-12
Authors

Google Cloud
Course details
Modernizing your infrastructure and applications opens up a new world of possibilities. Did you know that leveraging cloud-based technology can also redefine and improve your organization’s data analysis capabilities? In this course, learn how to utilize Google Cloud to process and analyze data in real time, provide insights across your business, and transform your everyday operations with data consolidation and machine learning.
Explore the value of data in the cloud and how to leverage data more effectively for your business. Boost your efficiency and drive innovation working with databases, data warehouses, data lakes, and business intelligence solutions like Looker. Along the way, learn how to take advantage of AI- and machine learning-based tools to make better forecasts, optimize data quality, and improve business decision-making.
Explore the value of data in the cloud and how to leverage data more effectively for your business. Boost your efficiency and drive innovation working with databases, data warehouses, data lakes, and business intelligence solutions like Looker. Along the way, learn how to take advantage of AI- and machine learning-based tools to make better forecasts, optimize data quality, and improve business decision-making.
Skills covered
Google Cloud PlatformSoftware Development ToolsGoogleCloud PlatformsCert PrepCloud ComputingSoftware Development
Concepts
0. Introduction
- 01 - Course introduction
1. The Value of Data
- 02 - Introduction
- 03 - The role of data in digital transformation
- 04 - Leveraging data in your organization
- 05 - Understanding data types
- 06 - Important data considerations
2. Data Consolidation and Analytics
- 07 - Introduction
- 08 - Migrating your data to the cloud
- 09 - Cloud databases
- 10 - Cloud data warehouses
- 11 - Cloud data lakes
- 12 - Business intelligence solutions
3. Innovation with Machine Learning
- 13 - Introduction
- 14 - What is machine learning
- 15 - Data quality
- 16 - AI and ML with Google Cloud
- 17 - Real-world use cases for ML
Conclusion
- 18 - Summary