Create an analytics dashboard using Google Cloud Platform: An introduction to Data Engineering

By Arunabh Bora Uncategorized
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About Course

About Project

In this comprehensive project, you’ll learn how to harness the power of BigQuery and Tableau to create insightful and dynamic dashboards. Designed for data analysts, business intelligence professionals, and anyone looking to enhance their data visualization skills, this course provides step-by-step guidance on integrating and leveraging these powerful tools.

  • Course Highlights:

    • Introduction to BigQuery for Data Engineers: Dive into the architecture and components of Google BigQuery. Understand its role in data warehousing and analytics in a data engineering context.
    • Setting Up and Configuring BigQuery: Learn how to set up and manage BigQuery environments, load large datasets, and perform efficient SQL queries for data processing.
    • Integrating BigQuery with Tableau: Explore the seamless integration of BigQuery with Tableau. Learn how to connect, extract, and manipulate data for visualization.
    • Data Preparation and ETL Processes: Gain expertise in data preparation and ETL (Extract, Transform, Load) processes using BigQuery. Understand how to clean, transform, and optimize data for visualization.
    • Building Effective Visualizations: Learn the principles of effective data visualization and how to implement them in Tableau. Create various types of visualizations that accurately represent data.

Project Overview:

  • Duration: 2 weeks
  • Technologies: Python, GCP, Tableau
  • Difficulty: Beginner to Intermediate
  • Final Deliverable: A fully functional Tableau dashboard
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Course Content

Part 1: Introduction to Google Cloud Platform and BigQuery

  • What is Google Cloud Platform (GCP)?
    00:00
  • What is BigQuery?
    00:00
  • Setting up BigQuery
    00:00

Part 2: Undestanding data in BigQuery

Part 3: Exploring and Querying Data

Part 4: Building a data pipeline

Part 5: Visualization using Tableau

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