What will you learn in Google Advanced Data Analytics Professional Certificate Course
Apply Python, Jupyter Notebook, and Tableau for data cleaning, visualization, and business storytelling.
Conduct exploratory data analysis (EDA), statistical modeling, hypothesis testing, regression, and predictive modeling.
Build and evaluate linear/logistic regression models, assess with ANOVA, chi‑square, and more.
Develop foundational machine learning skills including naive Bayes and decision trees.
Program Overview
Module 1: Foundations of Data Science
⏳ ~21 hours
Topics: Introduction to data science, PACE (Plan-Analyze-Construct-Execute) workflow, data professional roles, foundational analytics tools.
Hands-on: Core project using PACE and foundational assessments.
Module 2: Python for Data Analysis
⏳ ~20 hours
Topics: Python syntax, data structures (lists, dictionaries), pandas and NumPy for data manipulation.
Hands-on: Extensive hands-on Python labs and quizzes.
Module 3: Translate Data into Insights
⏳ ~30 hours
Topics: Exploratory Data Analysis (EDA), best practices, visual storytelling using Tableau and Python.
Hands-on: Build dashboards, interpret insights, and complete real-world scenarios.
Module 4: The Power of Statistics
⏳ ~20 hours
Topics: Probability distributions, hypothesis testing, A/B testing, experimental design.
Hands-on: Apply statistical tests and complete analytical assignments.
Module 5: Regression Analysis ⏳ ~20 hours
Topics: Linear and logistic regression models, coefficient interpretation, ANOVA, chi-square.
Hands-on: Regression modeling tasks using Python.
Module 6: Machine Learning Fundamentals
⏳ ~20 hours
Topics: Naive Bayes, decision trees, basics of supervised learning workflows.
Hands-on: Implement models and evaluate performance.
Module 7: Capstone Project
⏳ ~30 hours
Topics: Apply cumulative learning to a simulated real-world business challenge—analysis, modeling, reporting.
Hands-on: Complete capstone deliverables for portfolio inclusion (optional but useful).
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Job Outlook
Designed for roles such as Senior Data Analyst, Junior Data Scientist, and Data Science Analyst.
Median salary is around USD 118,000; strong demand with over 84,000 openings in the field.
Best suited for learners with prior analytics experience (or completion of the Google Data Analytics Certificate).
Specification: Google Advanced Data Analytics Professional Certificate
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