Course Summary
This course teaches how to use Google Cloud to build innovative solutions with data. It covers a range of topics such as data exploration, transformation, and visualization, as well as machine learning and data engineering.Key Learning Points
- Learn how to use Google Cloud for innovative data solutions
- Gain knowledge in data exploration, transformation, visualization, machine learning, and data engineering
- Understand how to use Google Cloud's tools and services effectively
Related Topics for further study
Learning Outcomes
- Learn how to use Google Cloud for innovative data solutions
- Develop skills in data exploration, transformation, and visualization
- Understand how to use machine learning and data engineering to build effective solutions
Prerequisites or good to have knowledge before taking this course
- Basic programming skills in Python
- Familiarity with cloud computing concepts
Course Difficulty Level
IntermediateCourse Format
- Online self-paced
- Video lectures
- Hands-on exercises
Similar Courses
- Data Engineering on Google Cloud Platform
- Data Analysis with Google Cloud
- Big Data and Machine Learning Fundamentals
Related Education Paths
Related Books
Description
Cloud technology on its own only provides a fraction of the true value to a business; When combined with data–lots and lots of it–it has the power to truly unlock value and create new experiences for customers.
In this course, you'll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. This course also introduces learners to technical concepts such as structured and unstructured data. database, data warehouse, and data lakes. It then covers the most common and fastest growing Google Cloud products around data.
Knowledge
- Describe the role of data in digital transformation and the importance of a data-driven culture.
- Identify common Google Cloud solutions for data management
- Identify common Google Cloud solution for smart analytics
- Identify Google Cloud’s solutions for Machine Learning and AI
Outline
- Introduction
- Course Introduction
- Student Slides
- How to Send Feedback
- Module 1: The Value of Data
- Introduction
- The role of data in digital transformation
- Leveraging data in your organization
- Understanding data types
- Important data considerations
- 01: The Value of Data
- Module 2: Data Consolidation and Analytics
- Introduction
- Migrating your data to the cloud
- Cloud databases
- Cloud data warehouses
- Cloud data lakes
- Business intelligence solutions
- 02: Data Consolidation and Analytics
- Module 3: Innovation with Machine Learning
- Introduction
- What is machine learning?
- Data Quality
- AI and ML with Google Cloud
- Real-world use cases for ML
- 03: Innovation with Machine Learning
- Summary
- Summary
- What's next?
Summary of User Reviews
Innovating with Data course on Coursera by Google Cloud has received positive reviews from users. The course offers valuable insights into data innovation and analytics. Many users found the course engaging and informative.Key Aspect Users Liked About This Course
Engaging and informative contentPros from User Reviews
- Clear and well-structured course material
- Experienced instructors with practical knowledge
- Valuable insights into data analytics and innovation
- Excellent hands-on exercises and case studies
- Great for beginners and intermediate learners
Cons from User Reviews
- Some technical issues with the platform
- Lack of advanced topics for experienced professionals
- Limited interaction with instructors and peers
- Not suitable for those without a basic understanding of data analytics
- Some users found the course material repetitive
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