This module explores data integrity in analytics, including methods and steps to verify data quality. Students learn about working with insufficient data, determining appropriate sample sizes, avoiding sampling bias, and ensuring statistical power in their analysis.

This module teaches the fundamentals of data cleaning, distinguishing between clean and dirty data. Students learn practical data cleaning techniques using spreadsheets and other tools, with hands-on practice in cleaning data from multiple sources.

A comprehensive module on using SQL for data cleaning. Students learn SQL queries and functions for cleaning and transforming data, compare SQL with spreadsheets, and gain practical experience with string manipulation and advanced cleaning functions.

This module focuses on verifying data cleaning results and documenting changes. Students learn to confirm data cleaning meets business requirements, create documentation, and communicate cleaning results effectively.

This module helps students build effective resumes for data analytics careers. It covers the job application process, highlighting relevant experience, and showcasing data analytics skills. Special focus on diversity and inclusion in the data industry.

A brief concluding module reviewing key concepts from the course and preparing students for the next course in the Google Data Analytics Certificate program.