What you will learn in Google Cloud Data Analytics Professional Certificate Course
This professional certificate program by Google Cloud introduces learners to the core principles of cloud-based data analytics.
Participants will explore data analysis processes using industry-relevant tools like BigQuery, Looker, Cloud Storage, and Dataproc.
The course emphasizes the application of generative AI for advanced data insights and automation.
Students gain practical skills through real-world case studies, lab exercises, and projects that simulate workplace tasks.
Learners develop capabilities in building data pipelines, querying large datasets, visualizing results, and presenting insights effectively.
The program prepares individuals for entry-level data analyst roles in cloud environments.
A capstone project consolidates the knowledge and demonstrates real-world application of data analytics techniques using Google Cloud.
Program Overview
Introduction to Data Analytics on Google Cloud
⏱️ 2-3 weeks
This module introduces the basics of data analytics and the advantages of cloud computing in analytics.
Learn the fundamentals of cloud-based data workflows
Understand different roles in cloud analytics
Explore data storage, querying, and visualization tools
Get introduced to the Google Cloud Platform (GCP) ecosystem
BigQuery for Data Analysts
⏱️ 3-4 weeks
Dive into Google BigQuery, a powerful analytics database for large datasets.
Write and optimize SQL queries
Import and export data into BigQuery
Perform data analysis on real datasets
Learn performance tuning and best practices
Data Visualization with Looker
⏱️ 3-4 weeks
Learn to create compelling data visualizations and dashboards with Looker.
Understand Looker’s capabilities and LookML
Build dashboards to convey insights clearly
Translate raw data into impactful visual reports
Use storytelling techniques to engage stakeholders
Building Batch Data Pipelines on Google Cloud
⏱️ 4-5 weeks
Develop skills in constructing and managing batch data pipelines.
Work with Cloud Storage, Dataproc, and Dataflow
Automate data transformations for analytics
Use Python and SQL in pipeline development
Explore scalable data processing architectures
Capstone: Apply Data Analytics Skills
⏱️4-6 weeks
This project-focused course allows learners to apply all previously learned skills.
Work on an end-to-end data analytics project
Clean, process, and visualize a business dataset
Present findings using dashboards and summaries
Demonstrate readiness for real-world roles in analytics
Get certificate
Job Outlook
- Demand for cloud-based data analysts is increasing as companies transition to scalable cloud solutions
- Google Cloud skills are sought after in industries like finance, retail, healthcare, and technology
- Entry-level roles start at $65K – $85K per year, with senior roles exceeding $100K
- Common job titles include Cloud Data Analyst, BI Analyst, and Data Engineering Associate
- The certification is recognized by employers and helps enhance professional visibility on platforms like LinkedIn
- Skills in BigQuery, Looker, and cloud data pipelines are highly transferable
- Career progression opportunities include Data Engineer, ML Engineer, and Cloud Architect
- Cloud analytics is integral to modern business decisions, offering long-term job security and flexibility
Specification: Google Cloud Data Analytics Professional Certificate
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