This program focuses on practical model development, statistical reasoning and structured experimentation.
You will prepare features, train models, validate results and translate findings into clear insights. The
instruction strengthens accuracy and analytical discipline, supporting your path toward the Google Advanced
Data Analytics Professional Certificate.
Prerequisites
- Foundational data analytics knowledge
- Understanding of data types
- Knowledge of data strategy
- Knowledge of data integrity
- Data cleaning skills
- Data aggregation skills
- Data analysis fundamentals
- Best practices for information sharing
- Spreadsheet proficiency
- Database familiarity
- SQL knowledge
- Programming concepts
- Data visualization skills
- Dashboard creation skills
- Prior data analytics experience or completion of the Google Data Analytics Professional Certificate
What Will You Learn
- Machine learning
- Predictive modeling
- Experimental design
- Statistical analysis
- Descriptive statistics
- Inferential statistics
- Probability
- Hypothesis testing
- Python programming
- Jupyter Notebooks
- Regression modeling
- Data modeling
- Data visualization
- Tableau
- Data storytelling
- Working with large datasets
- Portfolio-building projects
- Career preparation for advanced analytics roles
Who Should Do This Course
- Current data analytics professionals
- Recent graduates
- Career changers with an analytical mindset
- Individuals with foundational data analytics experience
- Graduates of the Google Data Analytics Certificate
