Google Advanced Data Analytics Professional Certificate (Google Advanced Data Analytics) Exam Blueprint

Google Advanced Data Analytics

6Languages

1 Foundations of Data Science (data science workflow, Python, Jupyter Notebooks) 14%

2 Get Started with Python (data structures, functions, OOP, NumPy, pandas) 14%

3 Go Beyond the Numbers: Data Storytelling (exploratory data analysis, visualisation) 14%

4 Statistics for Data Science (probability, hypothesis testing, confidence intervals) 15%

5 Regression Analysis (linear, logistic, variable selection, model evaluation) 15%

6 Machine Learning (supervised/unsupervised learning, decision trees, clustering, XGBoost) 14%

7 Capstone Project: End-to-end data science project 14%

Online ProctoringAvailable

ID RequirementsCoursera account; Google certificate credential shared via Credly badge upon completion

RenewalNot required -- Certificates do not expire; no formal renewal required. Google recommends keeping skills current through continued learning.

PrerequisitesGoogle Data Analytics Certificate or equivalent experience; basic Python and statistics knowledge helpful (recommended)

Retake PolicyQuizzes can be retaken; no limit on course re-enrolment; learners progress at their own pace

LanguagesEnglish, Spanish, Portuguese, French, Arabic, Indonesian