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to open terminal in codespace (key shot-cut) => ctrl+`

Data Engineering on Google Cloud Platform (GCP)

Table of Contents

Prerequisites

  1. Python
  2. SQL
  3. Git & GitHub
  4. Command-Line Interface (CLI)
  5. Docker
  6. Google Cloud Platform (GCP)

Course Modules

  1. Introduction to Data Engineering
  2. Building a Data Warehouse with BigQuery
  3. Setting up Data Lake using Google Cloud Storage
  4. Building Data Pipelines with Apache Airflow (Cloud Composer)
  5. Data Visualization with Looker Studio
  6. Implementing Machine Learning Models in BigQuery ML
  7. Real-world Capstone Project

Datasets