Data Science on Google Cloud Platform: Exploratory Data Analytics

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Free Online Course: Data Science on Google Cloud Platform: Exploratory Data Analytics provided by LinkedIn Learning is a comprehensive online course, which lasts for Less than 1 hour of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Data Science on Google Cloud Platform: Exploratory Data Analytics is taught by Kumaran Ponnambalam.

Overview
  • 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