AI Academy

Foundations of Data Science

Instructor: Google Career Certificates Duration: Approx. 15 hours
Objective 1 Understand common careers and industries that use advanced data analytics
Objective 2 Investigate the impact data analysis can have on decision-making
Objective 3 Explain how data professionals preserve data privacy and ethics
Objective 4 Develop a project plan considering roles and responsibilities of team members
Communication
Business Workflow Analysis
Data Science
Workflow Management
Data Storytelling
Business
Project Design
Data analysis
Data-Driven Decision-Making
Machine Learning
Analytical Skills
Stakeholder Communications
Data Ethics

Get Started with Python

Instructor: Google Career Certificates Duration: 2 hours to complete
Objective 1 Explain how Python is used by data professionals
Objective 2 Explore basic Python building blocks, including syntax and semantics
Objective 3 Understand loops, control statements, and string manipulation
Objective 4 Use data structures to store and organize data
Data Manipulation
Algorithms
Object Oriented Programming (OOP)
Data analysis
NumPy
Programming Principles
Python Programming
Jupyter
Data Structures
Scripting
Pandas (Python Package)

Go Beyond the Numbers: Translate Data into Insights

Instructor: Google Career Certificates Duration: 1 week at 10 hours a week
Objective 1 Apply the exploratory data analysis (EDA) process
Objective 2 Explore the benefits of structuring and cleaning data
Objective 3 Investigate raw data using Python
Objective 4 Create data visualizations using Tableau
Pandas (Python Package)
Data analysis
Matplotlib
Stakeholder Communications
Tableau Software
Jupyter
Data Manipulation
Data Presentation
Data Transformation
Data Visualization Software
Data Cleansing
Data Validation
Python Programming
Exploratory Data Analysis
Data Ethics
Data Storytelling

The Power of Statistics

Instructor: Google Career Certificates Duration: Approx. 31 hours
Objective 1 Explore and summarize a dataset
Objective 2 Use probability distributions to model data
Objective 3 Conduct a hypothesis test to identify insights about data
Objective 4 Perform statistical analyses using Python
Statistical Inference
Probability
Analytics
Statistics
Sampling (Statistics)
Data Literacy
Statistical Analysis
Probability Distribution
Sample Size Determination
Statistical Programming
Descriptive Statistics
Jupyter
A/B Testing
Advanced Analytics
Statistical Hypothesis Testing
Statistical Software
Statistical Methods
Data analysis
Technical Communication

Regression Analysis: Simplify Complex Data Relationships

Instructor: Google Career Certificates Duration: 4 hours to complete
Objective 1 Investigate relationships in datasets
Objective 2 Identify regression model assumptions
Objective 3 Perform linear and logistic regression using Python
Objective 4 Practice model evaluation and interpretation
Machine Learning Methods
Python Programming
Predictive Modeling
Statistical Hypothesis Testing
Correlation Analysis
Supervised Learning
Regression Analysis
Variance Analysis
Data analysis
Statistical Modeling
Statistical Analysis
Advanced Analytics

The Nuts and Bolts of Machine Learning

Instructor: Google Career Certificates Duration: 1 week at 10 hours a week
Objective 1 Identify characteristics of the different types of machine learning
Objective 2 Prepare data for machine learning models
Objective 3 Build and evaluate supervised and unsupervised learning models using Python
Objective 4 Demonstrate proper model and metric selection for a machine learning algorithm
Performance Tuning
Machine Learning
Advanced Analytics
Data analysis
Python Programming
Supervised Learning
Feature Engineering
Unsupervised Learning
Statistical Machine Learning
Machine Learning Algorithms
Predictive Modeling
Data Ethics

Google Advanced Data Analytics Capstone

Instructor: Google Career Certificates Duration: 1 hour to complete
Objective 1 Examine data to identify patterns and trends
Objective 2 Build models using machine learning techniques
Objective 3 Create data visualizations
Objective 4 Explore career resources
Data Visualization
Machine Learning Methods
Regression Analysis
Advanced Analytics
Interviewing Skills
Data-Driven Decision-Making
Data analysis
Business Analytics
Statistical Analysis
Portfolio Management

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