Google Data Analytics Professional Certificate
Job-ready Google certification in data analytics: spreadsheets, SQL, Tableau and R, with a case-study capstone.
What this course covers
- Ask questions and prepare data for analysis
- Clean and process data with spreadsheets and SQL
- Analyse data and find patterns
- Visualise findings in Tableau
- Program basic analysis in R
- Complete a portfolio case study
Skills covered
Course details
Syllabus: 8 courses
-
Course 1:
Foundations of Data Analytics
Data life cycle and analyst role
-
Course 2:
Ask Questions to Make Decisions
Defining problems and stakeholders
-
Course 3:
Prepare Data for Exploration
Data types, sources, bias
-
Course 4:
Process Data: Clean to Analysis
Cleaning with spreadsheets and SQL
-
Course 5:
Analyse Data
Aggregation, calculations, SQL
-
Course 6:
Share Data Through Visualization
Tableau dashboards and storytelling
-
Course 7:
Data Analysis with R
RStudio, tidyverse, R Markdown
-
Course 8:
Capstone Case Study
Portfolio project
Your certificate
Certificate of Completion
This is to certify that
Your Name
has successfully completed the certificate program
Google Data Analytics Professional Certificate
A certificate with your name on it
Finish all the graded work to get a certificate with a verification ID. Attach it to your college and job applications.
- Verifiable certificate ID
- Download as PDF
- Share on LinkedIn
- Strengthen your college application
Frequently asked questions
No, it is designed for beginners.
Yes, learners earn the Google Data Analytics Professional Certificate on completion.
More in Data Science
B.Tech CSE (Data Science)
Skills: Python, SQL, Statistics, Machine Learning, Data Visualization, Big Data, Power BI
B.Tech CSE (Artificial Intelligence)
Skills: Python, Machine Learning, Deep Learning, NLP, Computer Vision, TensorFlow, Generative AI
B.Tech Computer Science Engineering (Core)
Skills: C, C++, Java, Data Structures, Operating Systems, DBMS, Computer Networks, Web Development
MBA (Master of Business Administration)
Skills: Leadership, Strategy, Finance, Marketing, HR Management, Business Analytics, Operations