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LinkedIn Learning

Data Science on Google Cloud Platform: Exploratory Data Analytics

via LinkedIn Learning

Overview

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Learn how to conduct exploratory data analytics on Google Cloud Platform.

Syllabus

Introduction
  • Why EDA on Datalab?
  • Data science modules covered
1. Exploration Options in GCP
  • BigQuery
  • Datalab
  • Data Studio
  • Cloud Dataflow
2. Cloud Datalab Basics
  • What is Datalab?
  • Setting up the Cloud SDK
  • Setting up Datalab
  • Managing Datalab
  • Using the exercise files
  • Other capabilities
3. Datalab: BigQuery
  • Setting up BigQuery
  • BigQuery commands
  • Reading data from BigQuery
  • Working with DataFrames
  • Writing data to BigQuery
4. Datalab: Cloud Storage
  • Listing bucket contents
  • Managing buckets
  • Reading objects from a bucket
  • Writing to buckets
5. Datalab: Visualizations
  • Introduction to the charting API
  • Line charts with BigQuery data
  • Pie charts with BigQuery data
  • Time series analysis with Cloud Storage
6. EDA with GCP: Use Case
  • Loading data into a DataFrame
  • Cleansing and transforming data
  • Statistics and correlations
  • Segmentation and profiling
  • Writing results to Cloud Storage
7. Managing Datalab
  • Datalab instance management
  • Adding new packages
  • Managing source code
  • Datalab best practices
Conclusion
  • Next steps

Taught by

Kumaran Ponnambalam

Reviews

4.5 rating at LinkedIn Learning based on 104 ratings

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