# googlecloudplatform/training-data-analyst

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8,566 stars · 6,077 forks · Jupyter Notebook · Apache-2.0

## Links

- GitHub: https://github.com/GoogleCloudPlatform/training-data-analyst
- awesome-repositories: https://awesome-repositories.com/repository/googlecloudplatform-training-data-analyst.md

## Description

This project is a cloud data analysis sandbox and a collection of courseware designed for learning data analysis techniques on Google Cloud Platform. It serves as a training lab containing technical demonstrations and practical exercises for skill development and cloud certification.

The repository provides guided labs and demonstrations focused on Google Cloud data analysis, encompassing technical training for the platform's specific data services. It enables the practice of cloud data engineering and the use of big data tooling to perform queries and data transformations.

The environment supports hands-on exercises through a cloud-based lab setup with virtual machine orchestration and scripted environment configuration. These workflows include scenario-based dataset provisioning and the integration of native cloud console interfaces and command line tools.

## Tags

### Education & Learning Resources

- [Hands-On Labs](https://awesome-repositories.com/f/education-learning-resources/data-analysis-guides/hands-on-labs.md) — Provides guided hands-on exercises and demonstrations to master data analysis techniques in a cloud environment. ([source](https://github.com/googlecloudplatform/training-data-analyst#readme))
- [Cloud Analysis Courseware](https://awesome-repositories.com/f/education-learning-resources/cloud-analysis-courseware.md) — Ships a collection of guided labs and demonstrations for learning data analysis techniques on Google Cloud Platform.
- [Cloud Engineering Practicums](https://awesome-repositories.com/f/education-learning-resources/cloud-engineering-practicums.md) — Provides practical experience building and managing data pipelines and storage systems within a cloud environment.
- [GCP Data Analysis Courses](https://awesome-repositories.com/f/education-learning-resources/gcp-data-analysis-courses.md) — Teaches how to analyze and process large datasets using Google Cloud Platform tools through hands-on exercises.
- [Guided Implementation Walkthroughs](https://awesome-repositories.com/f/education-learning-resources/guided-implementation-walkthroughs.md) — Breaks complex data analysis workflows into discrete sequential tasks for guided learner progression.
- [Technical Training](https://awesome-repositories.com/f/education-learning-resources/technical-training.md) — Offers guided labs and demonstrations for mastering the implementation of data services on Google Cloud Platform.

### Part of an Awesome List

- [Training and Labs](https://awesome-repositories.com/f/awesome-lists/learning/training-and-labs.md) — Provides technical demos and practical exercises designed for cloud certification and skill development.

### Data & Databases

- [Big Data Processing](https://awesome-repositories.com/f/data-databases/big-data-processing.md) — Enables practice with cloud-native big data tools for performing complex queries and data transformations.
- [Exercise Datasets](https://awesome-repositories.com/f/data-databases/curated-datasets/exercise-datasets.md) — Loads curated public and private data into cloud storage buckets for reproducible analysis exercises.

### DevOps & Infrastructure

- [Cloud Training Environments](https://awesome-repositories.com/f/devops-infrastructure/cloud-native-infrastructure/architecture-labs/cloud-training-environments.md) — Provides isolated virtual machines and networking to host temporary cloud services for training sessions.
- [Data Analysis Sandboxes](https://awesome-repositories.com/f/devops-infrastructure/infrastructure/private-enterprise-management/cloud-infrastructure-management/cloud-sandbox-provisioning/data-analysis-sandboxes.md) — Provides a set of hands-on exercises for practicing data processing and analytical workflows in a cloud environment.