Overview
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Learn how to conduct exploratory data analytics on Google Cloud Platform.
Syllabus
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Introduction
- Why EDA on Datalab?
- Data science modules covered
- BigQuery
- Datalab
- Data Studio
- Cloud Dataflow
- What is Datalab?
- Setting up the Cloud SDK
- Setting up Datalab
- Managing Datalab
- Using the exercise files
- Other capabilities
- Setting up BigQuery
- BigQuery commands
- Reading data from BigQuery
- Working with DataFrames
- Writing data to BigQuery
- Listing bucket contents
- Managing buckets
- Reading objects from a bucket
- Writing to buckets
- Introduction to the charting API
- Line charts with BigQuery data
- Pie charts with BigQuery data
- Time series analysis with Cloud Storage
- Loading data into a DataFrame
- Cleansing and transforming data
- Statistics and correlations
- Segmentation and profiling
- Writing results to Cloud Storage
- Datalab instance management
- Adding new packages
- Managing source code
- Datalab best practices
- Next steps
