Explore free Google Data Analytics preparation with original READY practice in business questions, data quality, analysis and clear stakeholder communication.
Learn Google Data Analytics through eight connected modules with original READY teaching, worked examples and guided practice. Start with frame the decision and develop toward recommend responsibly. Each lesson connects a concept to a realistic situation so that you can explain your reasoning rather than memorize a label. Use the optional outline to revisit a topic, and keep practice responses and private notes inside your account.
Define the decision before collecting data. A completion comparison needs a start cohort, a fixed follow-up window and the same denominator in both periods. Compare Q1 and Q2 first-time starts after each has had 30 days to complete. A July start cannot fairly belong in either cohort. The later modules build on this foundation. You will compare alternatives, examine the evidence and identify the limits of a conclusion. The checks give explicit answer feedback. Complete each module after reviewing the lessons and passing its checks, then use the saved course record to see what you have completed and where to continue.
All eight modules are available through a free READY account when the existing Free Training release gate is enabled. You can save, leave, reload and resume your work. This is independent READY learning, not a provider-issued credential or a guarantee of exam readiness. The optional certificate follows existing account eligibility and READY$ policy. Certificate issuance for this updated version remains blocked pending instructional-hour and CEU/CPE review; omission is not an approved substitute. Exam coverage and external credential eligibility are not claimed. Earlier learning records and issued certificates remain separate and retain their original versions.
WHAT YOU’LL PRACTICE
Capabilities you can put to work.
Translate a business need into a focused analytical question
Select appropriate data while documenting its limits
Clean and validate data with a reproducible record
Use spreadsheets, SQL, and visualization to answer defined questions
Interpret patterns without overstating causality
Communicate findings, uncertainty, and next actions
Recognize privacy, bias, and governance risks
Turn analytical work into honest portfolio evidence
YOUR COURSE OUTLINE
Course Modules
Review each module’s focus before you sign in. Your account shows which learning activities are currently available.
01
Frame the Decision
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Turn a vague request into a measurable decision with a defined population, denominator, time window, and limits.
Learning pace: Self-paced
02
Trust the Data
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Assess whether a source is fit for a stated decision, and report defects without silently changing the population.
Learning pace: Self-paced
03
Prepare the Evidence
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Create a traceable analysis table while preserving source values, keys, exclusions, and reconciliation totals.
Learning pace: Self-paced
04
Explore in Spreadsheets
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Use explicit ranges, conditional counts, and weighted rates to summarize a small dataset without hiding missing values.
Learning pace: Self-paced
05
Query with SQL
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Read and verify a small analytical SQL query, including filters, missing values, grouped rates, and join cardinality.
Learning pace: Self-paced
06
Interpret the Result
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Explain differences using denominators, distributions, composition, uncertainty, and the limits of causal evidence.
Learning pace: Self-paced
07
Show What Matters
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Choose and explain a chart that matches the question, preserves scale, and makes coverage and uncertainty visible.
Learning pace: Self-paced
08
Recommend Responsibly
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Turn an analysis into a bounded recommendation with evidence, tradeoffs, ownership, and a review plan.
Learning pace: Self-paced
Who this course is for
Career explorers and changers
Operations and reporting professionals
Junior and aspiring data analysts
Before you start
No credential required
Comfort working with basic tables is helpful
Work through the modules at a pace that lets you reflect and apply what you learn.
Know what’s included.
Is this training free, and how do I start?
The course overview is public. Sign in with a free READY account to use all eight guided modules and save your progress. A free account is required to start learning. Existing members can sign in.
No. Course completion and an optional READY learning certificate are separate from READYScore job-role certification. The member experience shows certificate eligibility and the existing READY$ policy.
Is this an official vendor course or credential?
This original READY course is independent of Google and Coursera. READY does not issue the Google Data Analytics Professional Certificate and is not affiliated with or endorsed by either provider. Training does not guarantee exam success or confer a vendor credential.
Does this assert learning hours or CEU/CPE eligibility?
The member course page shows the current estimated learning time and certificate eligibility. READY learning records do not guarantee that an outside provider will accept CEU/CPE credit; check that provider’s requirements. Existing certificate records are preserved.
