Cloud Data Analytics & Engineering Program (Google Cloud Track)
Take your data skills to the next level by learning how to work with cloud platforms, build data pipelines, and analyze large-scale datasets using Google Cloud technologies.
Master Cloud Data Analytics — Build Scalable Systems for Real-World Impact
Level: Advanced
Prerequisite: Data analytics + basic SQL/Python knowledge
Duration: 12–16 weeks (Cohort-Based)
Format: Live + Hands-On Labs + Cloud Projects
Powered by: Google Cloud via Coursera
Certification: Google Cloud Data Analytics Professional Certificate
Start Date: [Insert Next Cohort Date]
Seats: Limited to 15 learners
By the end of this program, you will:
Work with cloud-based data systems (BigQuery, pipelines)
Design and manage data workflows and ETL processes
Analyze large-scale datasets using cloud tools
Integrate data analytics with cloud infrastructure
Apply data solutions in real-world environments
Google Cloud Platform (BigQuery, Cloud tools)
SQL
Data pipeline frameworks
Visualization tools
Cloud-based data pipelines
BigQuery analysis projects
Scalable analytics solutions
Portfolio-ready cloud data project
Weeks 1–3: Cloud Data Foundations
Introduction to cloud computing
Data architecture fundamentals
Google Cloud ecosystem overview
Weeks 4–7: Data Pipelines & BigQuery
Working with BigQuery
Data ingestion & transformation
Building scalable pipelines
Weeks 8–11: Cloud Analytics & Visualization
Querying large datasets
Data analysis at scale
Dashboarding & reporting
Weeks 12–14: Data Engineering Concepts
ETL workflows
Data storage & optimization
Performance tuning
Weeks 15–16: Capstone Project
Build a cloud-based data solution
Analyze and present insights
Deploy or simulate a real-world system
This program prepares you for:
Cloud Data Analyst
Data Engineer
Analytics Engineer
Cloud Analytics Specialist
Premium Cloud Program
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Apply Now — Limited Seats for Advanced Cohort
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Access practical, market-relevant training designed for real-world application.
Step 2: Apply
Work on real challenges, case studies, and tools that translate learning into action.
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Leverage skills to unlock opportunities—employment, enterprise growth, and partnerships.
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