Google Data Analytics De course Syllabus

Overview: The Google Data Analytics Professional Certificate is a comprehensive 9-course program designed to equip beginners with in-demand data analytics skills. Spanning approximately 6 months with a recommended 10 hours per week, the program covers the full data analysis lifecycle—from data collection and cleaning to visualization and decision-making. Learners engage with real-world tools like SQL, Python, Tableau, and R, applying skills through hands-on projects. The curriculum emphasizes practical, job-ready competencies and includes AI-augmented analytics training. While the course is free to audit, a paid subscription is required to earn the certificate. All content is self-paced and delivered on Coursera.

Module 1: Ask Questions to Make Data-Driven Decisions

Estimated time: 15 hours

• Define data analytics and its role in business
• Understand the data analysis process
• Learn how to ask effective analytical questions
• Explore real-world data analyst roles and responsibilities

Module 2: Prepare Data for Exploration

Estimated time: 20 hours

• Discover data cleaning techniques
• Work with spreadsheets and SQL for data organization
• Identify and handle data integrity issues
• Transform and document data for analysis

Module 3: Process Data from Dirty to Clean

Estimated time: 25 hours

• Use SQL to clean and filter data
• Apply functions in spreadsheets to standardize data
• Detect and correct errors in datasets
• Document cleaning processes for reproducibility

Module 4: Analyze and Share Data with Visualizations

Estimated time: 20 hours

• Perform data analysis using SQL and Python
• Create visualizations in Tableau
• Interpret trends and patterns in data
• Communicate insights effectively to stakeholders

Module 5: Data Analysis with R Programming

Estimated time: 20 hours

• Introduction to R and RStudio
• Use R for data cleaning and transformation
• Generate statistical summaries and visualizations
• Apply R in exploratory data analysis

Module 6: Final Project

Estimated time: 30 hours

• Select a real-world dataset for analysis
• Apply the full data analysis process from question to insight
• Create a portfolio-ready presentation using Tableau or R

Prerequisites

• No prior experience required
• Basic computer literacy
• Access to a modern web browser and internet connection

What You'll Be Able to Do After

• Collect, clean, and organize data using SQL and spreadsheets
• Analyze data using Python and R programming
• Create compelling data visualizations with Tableau
• Communicate data insights effectively to non-technical audiences
• Complete a portfolio project demonstrating job-ready skills