Your cart is empty.
Keep shoppingIntroduction to Cloud Data Analytics with Google BigQuery
121 students
Introduction to Cloud Data Analytics with Google BigQuery
Learn foundational skills in Google Cloud, Data pipeline, SQL , Data Visualization via DataStudio and Google BigQuery
Created bySKILL CURB
Last updated 11/2020
English
What you'll learn
- Data Studio for Analytics and Visualization
- BigQuery User Interface and Key Features
- Introduction to Cloud Computing Basics
- Introduction Data Warehousing Basics
- Google BigQuery Essentials
- Loading Datasets to Google BigQuery
- Multiple Data Importing Techniques in Google BigQuery
- Google Cloud Storage - Buckets
- Exporting BigQuery Data in CSV Formats
- Exporting BigQuery Data to Google Account
- Data Handling
- Data Visualisation
- Data set Report Generation and Sharing
Explore related topics
Course content
8 sections • 45 lectures • 3h 43m total length
Requirements
- Basic or Little Knowledge of SQL
- Existing Google Account
- Basics of Computer and Internet Usage
Description
This course is designed for the students who are at their initial stage or at the beginner level in learning the data warehouse, cloud computing data visualization and Analytics.
This course focuses on what cloud computing is followed by some essential concepts of data warehousing. It also has practical hands-on lab exercises which covers a major portion of big data importing and performing some Analytics on the big data.
The ETL tool used is Google BigQuery and analytics is performed using a visual tool known as data studio. The lab portion covers all the essentials of the two platforms starting from importing the datasets, loading it, performing powerful SQL queries and then analyzing the same data using the visual graphical tools available on DataStudio platform.
Who this course is for:
- Beginners in Data Visualisation, Data Warehousing
- Students at their initial stage of learning BigQuery
- Students at their initial stage of learning DataStudio