Join the From Data to Insights with Google Cloud course to master scalable data analysis and processing. Suitable for data analysts and cloud data engineers, this course teaches you to leverage Google BigQuery for mining, visualizing, and loading data. With a focus on interactive scenarios, you'll delve into schema modeling, pricing queries, and data visualization. No prior experience is necessary, but familiarity with ANSI SQL is recommended.
Throughout the course, you'll explore and prepare data using BigQuery, create new datasets, and visualize insights. Delve into advanced SQL functions, learn how BigQuery addresses scaling limitations, and optimize queries for improved performance. Additionally, you'll discover how to apply machine learning to your data using Google Cloud Platform. With hands-on exercises and interactive modules, you'll gain practical skills that are essential for building scalable data solutions.
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Explore and prepare data with BigQuery, create new datasets, visualize insights, achieve advanced insights with BigQuery, and apply machine learning to your data with GCP.
Delve into querying and analyzing data using BigQuery's public datasets. Evaluate data quality and develop automatic data cleansing pipelines. Practice SQL creation and troubleshooting using real Google Analytics e-commerce datasets.
Create new persistent and temporary tables from query results, and load new datasets into BigQuery. Learn to differentiate and utilize SQL JOIN and UNION, and use Looker Studio to create dashboards and visualizations.
Master advanced SQL functions available in BigQuery. Understand how BigQuery's development addresses scaling limitations, optimize basic tasks to improve query speed, and explore permissions management and data sharing tools in Google Cloud and BigQuery.
Understand the overview of machine learning and its business applications. Differentiate between pre-trained and custom ML models, create machine learning datasets in BigQuery, and build ML models within BigQuery.
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