Data Transformation in the Cloud

Overview

6-week cohort with live MIT Faculty sessions. Learn to scale AI beyond the pilot stage.

Data Transformation in the Cloud teaches you how to prepare raw data for analysis using cloud-based tools and SQL.

As the third course in the Google Cloud Data Analytics Certificate, it introduces how data moves from collection to insight, with a focus on transforming raw inputs into structured, analysis-ready datasets.

You’ll work with techniques used to process large volumes of data and support business decision-making.

This course explores the key fundamentals of data transformation, including:

Understanding the data journey and how each stage supports data-driven decisions
Cleaning, normalizing, aggregating, and enriching datasets for analysis
Using SQL to transform raw data into structured formats and apply transformation strategies to meet specific business needs

Syllabus

Describe the steps of the data journey and how they are used to drive data-driven decision making.
Recognize the role of data transformation in preparing data for analysis.
Describe the benefits and challenges of transforming data in the cloud.
Identify the key components of a data transformation plan.