Google Cloud Associate Data Practitioner: Data Analysis and Presentation
Master Google Cloud data analysis & presentation. Prepare for the Google Cloud Associate Data Practitioner certification. Learn to work with data and gain valuable skills.
Course Content
Google Cloud Associate Data Practitioner: Data Analysis and Presentation is an intermediate-level Pluralsight course taught by Russ Thomas. It runs 57m, is taught in English, and includes a certificate of completion. It is a paid course, first published September 2025.
Unlock your potential as a data practitioner with Google Cloud Associate Data Practitioner: Data Analysis and Presentation. Navigate the complex world of Google Cloud data tools and services with confidence. This course equips you with practical skills to work effectively with data across major databases, business intelligence, and machine learning platforms.
Master Key Skills:
- BigQuery Data Analysis: Learn to efficiently query and analyze data within BigQuery, a powerful data warehouse, to derive insights and answer critical business questions.
- Jupyter Notebooks & Collaborative Data Science: Discover how to leverage Jupyter Notebooks for collaborative data exploration and analysis, fostering teamwork and efficient workflows.
- Looker Dashboards & Data Visualization: Create compelling and insightful dashboards and visualizations using Looker to communicate data-driven stories effectively.
- Machine Learning Fundamentals: Gain hands-on experience in the complete machine learning lifecycle: defining models, training them on data, rigorously evaluating performance, and deploying them for practical applications.
By the end of this course, you'll possess the essential skills and knowledge of Google's data analysis tools to confidently tackle real-world projects. This comprehensive training provides broad coverage aligned with the requirements of the Google Associate Data Practitioner Certification Exam, preparing you for success in your data career. Become proficient in leveraging Google Cloud's data capabilities and advance your career as a data professional.
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