2 of 7 courses complete
Completed
Foundations of Data Science
Careers and industries in advanced data analytics, the impact of data-driven decisions, data privacy and ethics, and developing a project plan with clear team roles. (Course 1)
Completed
Go Beyond the Numbers: Translate Data into Insights
The exploratory data analysis process, structuring and cleaning data, investigating raw data in Python, and creating visualizations in Tableau. (Course 2)
Not Started
The Power of Statistics
Exploring and summarizing datasets, applying probability distributions, conducting hypothesis tests, and performing statistical analysis in Python. (Course 3)
Not Started
Regression Analysis: Simplify Complex Data Relationships
Investigating relationships in data, regression model assumptions, building linear and logistic regression models in Python, and evaluating results. (Course 4)
Not Started
The Nuts and Bolts of Machine Learning
Types of machine learning, preparing data for modeling, building and evaluating supervised and unsupervised models in Python, and proper model selection. (Course 5)
Not Started
Google Advanced Data Analytics Capstone
Applying the full advanced analytics process to a real case study — identifying patterns, building machine learning models, and creating visualizations — plus career resources. (Course 6)
Not Started
Accelerate Your Job Search with AI
Using tools like Career Dreamer and Gemini to explore roles, organize applications with Google Sheets, build a resume and search plan, and prep for interviews. (Course 7)