AI Academy

Foundations: Data, Data, Everywhere

Instructor: Google Career Certificates Duration: 9 hours to complete
Objective 1 Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.
Objective 2 Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking.
Objective 3 Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics.
Objective 4 Describe the role of a data analyst with specific reference to jobs.
Data Cleansing
Data Management
Data Visualization Software
Data analysis
Spreadsheet Software
SQL
Analytical Skills
Data Ethics
Google Sheets
Data Sharing
Data-Driven Decision-Making
Data Processing

Ask Questions to Make Data-Driven Decisions

Instructor: Google Career Certificates Duration: 1 week at 10 hours a week
Objective 1 Explain how the problem-solving road map applies to typical analysis scenarios.
Objective 2 Discuss the use of data in the decision-making process.
Objective 3 Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data.
Objective 4 Describe the key ideas associated with structured thinking.
Data analysis
Dashboard
Quantitative Research
Stakeholder Communications
Data-Driven Decision-Making
Communication
Spreadsheet Software
Analytical Skills
Data Presentation
Business Analysis
Expectation Management

Prepare Data for Exploration

Instructor: Google Career Certificates Duration: 4 hours to complete
Objective 1 Explain what factors to consider when making decisions about data collection.
Objective 2 Discuss the difference between biased and unbiased data.
Objective 3 Describe databases with references to their functions and components.
Objective 4 Describe best practices for organizing data.
SQL
Data Literacy
Relational Databases
Databases
Data Quality
Data Management
Data Security
Data Cleansing
Metadata Management
Data analysis
Data Access
Data Collection
Data Ethics
Unstructured Data
Google Sheets

Process Data from Dirty to Clean

Instructor: Google Career Certificates Duration: Approx. 20 hours
Objective 1 Define different types of data integrity and identify risks to data integrity.
Objective 2 Apply basic SQL functions to clean string variables in a database.
Objective 3 Develop basic SQL queries for use on databases.
Objective 4 Describe the process of verifying data cleaning results.
SQL
Data Transformation
Spreadsheet Software
Data Validation
Data analysis
Sampling (Statistics)
Data Manipulation
Sample Size Determination
Data Cleansing
Data Quality
Data Integrity

Analyze Data to Answer Questions

Instructor: Google Career Certificates Duration: 1 week at 10 hours a week
Objective 1 Discuss the importance of organizing your data before analysis by using sorts and filters.
Objective 2 Convert and format data.
Objective 3 Apply the use of functions and syntax to create SQL queries to combine data from multiple database tables.
Objective 4 Describe the use of functions to conduct basic calculations on data in spreadsheets.
User Feedback
Spreadsheet Software
Excel Formulas
Data Integration
Data Validation
Data analysis
Analytics
Pivot Tables And Charts
Data Manipulation
Data Compilation
SQL
Data Transformation

Share Data Through the Art of Visualization

Instructor: Google Career Certificates Duration: 7 hours to complete
Objective 1 Describe the use of data visualizations to talk about data and the results of data analysis.
Objective 2 Identify Tableau as a data visualization tool and understand its uses.
Objective 3 Explain what data driven stories are including reference to their importance and their attributes.
Objective 4 Explain principles and practices associated with effective presentations.
Tableau Software
Dashboard
Data Literacy
Data Storytelling
Data Presentation
Data Visualization
Data Visualization Software
Interactive Data Visualization
Presentations
Web Content Accessibility Guidelines

Data Analysis with R Programming

Instructor: Google Career Certificates Duration: Approx. 31 hours
Objective 1 Describe the R programming language and its programming environment.
Objective 2 Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors.
Objective 3 Describe the options for generating visualizations in R.
Objective 4 Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content.
Rmarkdown
Data Visualization Software
Data Structures
Data Manipulation
Exploratory Data Analysis
Package and Software Management
Data Import/Export
Data Cleansing
Ggplot2
Tidyverse (R Package)
R Programming
Statistical Programming
Data analysis

Google Data Analytics Capstone: Complete a Case Study

Instructor: Google Career Certificates Duration: 1 hour to complete
Objective 1 Identify the key features and attributes of a completed case study.
Objective 2 Apply the practices and procedures associated with the data analysis process to a given set of data.
Objective 3 Discuss the use of case studies/portfolios when communicating with recruiters and potential employers.
Objective 4 Gain a competitive edge by learning AI skills from Google experts.
Data Storytelling
Recruitment
Presentations
Data-Driven Decision-Making
Artificial Intelligence
Data Processing
Interviewing Skills
Analytical Skills
Project Documentation
Portfolio Management
Data analysis

Accelerate Your Job Search with AI

Instructor: Google Career Certificates Duration: 6 hours to complete
Objective 1 Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer.
Objective 2 Keep your applications organized with Google Sheets.
Objective 3 Build a stand out resume and a step-by-step job search plan—with help from Gemini.
Objective 4 Prepare for interviews and practice responding to questions using NotebookLM and Gemini Live.
Problem Solving
Professional Development
Generative AI Agents
Adaptability
Interviewing Skills
LinkedIn
Talent Sourcing
Relationship Building
Communication
Professional Networking
Writing and Editing
Goal Setting
Recruitment
AI Personalization
Personal Attributes
Value Propositions