AI Academy

Introduction to Data Analytics in Google Cloud

Instructor: Google Cloud Training Duration: Approx. 15 hours
Objective 1 Define data analytics as it applies to cloud computing.
Objective 2 Explain the benefits of cloud computing.
Objective 3 Identify common tools used by entry-level cloud data analysts.
Objective 4 Describe key roles that interact with data within an organization.
Cloud Infrastructure
Google Cloud Platform
Data analysis
Data Management
Data Warehousing
Cloud Storage
Cloud Computing
Cloud Services
Big Data
Data Governance

Data Management and Storage in the Cloud

Instructor: Google Cloud Training Duration: 2 weeks to complete at 10 hours a week
Objective 1 Explain how data is defined and structured in BigQuery and Google Cloud Storage.
Objective 2 Identify the key components that make up a data lakehouse architecture.
Objective 3 Explain how partitioning can improve query performance and reduce costs.
Objective 4 Define key components of data governance.
Star Schema
Data Integration
Data Management
Data Lakes
Big Data
Cloud Storage
Data Quality
Application Programming Interface (API)
Data Architecture
Performance Tuning
NoSQL
Data Access
Data Governance
Data Warehousing
Query Languages
Database Management
Metadata Management

Data Transformation in the Cloud

Instructor: Google Cloud Training Duration: 2 weeks to complete at 10 hours a week
Objective 1 Describe the steps of the data journey and how they are used to drive data-driven decision making.
Objective 2 Recognize the role of data transformation in preparing data for analysis.
Objective 3 Describe the benefits and challenges of transforming data in the cloud.
Objective 4 Identify the key components of a data transformation plan.
Data Management
Data analysis
Data Cleansing
Data Integration
Data Collection
Cloud Storage
Data Migration
SQL
Cloud Computing
Data Visualization
Cloud Security
Data Governance
Data Transformation
Data Pipelines
Extract, Transform, Load
Data Processing

The Power of Storytelling: How to Visualize Data in the Cloud

Instructor: Google Cloud Training Duration: 21 hours to complete 3 weeks at 7 hours a week
Objective 1 Explore the importance of data visualization and storytelling in cloud data analysis.
Objective 2 Identify and translate stakeholder requests to create dashboards and reports via wireframes and design mockups.
Objective 3 Explain the role and advantages of cloud-native data visualization tools to access, explore, and analyze data.
Objective 4 Create a report and dashboard to foster collaboration and decision-making.
Data Presentation
Data Visualization Software
UI/UX Strategy
Business Intelligence
Cloud Services
Dashboard
Data Governance
Data Access
Self Service Technologies
Performance Tuning
Business Analytics
Data Modeling
Data Storytelling

Put It All Together: Prepare for a Cloud Data Analyst Job

Instructor: Google Cloud Training Duration: 13 hours to complete 3 weeks at 4 hours a week
Objective 1 Assess feasibility of a business request and the ability to translate into actionable data analysis.
Objective 2 Identify appropriate data visualization techniques for different types of data and analysis goals.
Objective 3 Develop career resources for a role in cloud computing. Practice resume and interview techniques for a cloud data career.
Objective 4 NEW [optional] Generative AI for Cloud Data Analytics
Problem Solving
Artificial Intelligence
Data analysis
Professional Development
Generative AI
Large Language Modeling
Data Storytelling
Google Cloud Platform
Data Presentation
Analytics
Data Ethics