GCPBD: Big Data & Machine Learning Fundamentals

This course is an introduction to Google Cloud’s Big data and Machine Learning functions. You’ll start off with a quick overview of Google Cloud and then dive deeper into its data processing capabilities. 

You’ll gain skills in: 

• Identifying the purpose and value of the key Big Data and Machine Learning products in Google Cloud. 
• Using Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud. 
• Employing BigQuery and Cloud SQL to carry out interactive data analysis.  
• Choosing between different data processing products in Google Cloud.  
• Creating ML models with BigQuery ML, ML APIs, and AutoML. 

This course is aimed at: 

• Data analysts, data scientists, and business analysts who are getting started with Google Cloud.  
• Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results, and creating reports. 
• Executives and IT decision makers evaluating Google Cloud for use by data scientists. 

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