Who it's for: Career changers and professionals who already work with spreadsheets and want to move into analytics, reporting, or business intelligence.
Where it gets you: You will have a repeatable method for analyzing data on any project, know the free tools to do it with, know which entry-level certificate fits you, and know what skills to add next.
Stage 1 Start here
A repeatable method for analyzing data on any project, and the free, well-established tools to do it with.
-
1
How to Analyze Data for Any Project: A Beginner's Method (with Google Analytics, Sheets, and Excel)
A step-by-step method for analyzing data on any project, from the question to the decision, using free, proven tools like Google Analytics, Sheets, and Excel.
Stage 2 Earn a certificate
Entry-level programs that cover spreadsheets, SQL, visualization, and a capstone project.
-
2
Google Data Analytics Professional Certificate — Full Review After Completing It
A hands-on review of Google's data analytics certificate on Coursera — what you actually learn across all 9 courses, and whether it's worth the time.
-
3
IBM Data Analyst Professional Certificate: Full Review After Completing All 10 Courses
A detailed, honest review of the IBM Data Analyst Professional Certificate on Coursera. 10 courses, hands-on projects, and a real look at job outcomes in 2026.
Stage 3 Master the tools
Dashboard and BI tools employers ask for by name.
-
4
Microsoft Power BI Data Analyst Professional Certificate — Is It Worth It in 2026?
A detailed look at Microsoft's Power BI Data Analyst certificate on Coursera: all 8 courses, DAX, data modeling, PL-300 exam prep, and who should take it.
Coming next on this path
We're adding these steps. New articles appear here automatically when they publish.
- SQL for absolute beginners
- Excel skills analysts actually use
- Python for data analysis
- Building a portfolio project that gets interviews
Common questions
Is a data analytics certificate enough to get hired?
A certificate gets you the vocabulary and a first project. Most people also need a small portfolio of their own analyses and comfort with SQL and one dashboard tool.
What tools do I need to start analyzing data?
A spreadsheet (Google Sheets or Excel) handles most beginner projects. For websites, add Google Analytics and Google Search Console, and use Looker Studio or Power BI when you need shareable dashboards.
Google or IBM data analytics certificate?
Both are solid beginner programs. Google leans on spreadsheets, SQL, Tableau, and R; IBM leans on Excel, SQL, Python, and Cognos. Our reviews compare them in detail.
Other learning paths
← All learning paths