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Foundations: Data, Data, Everywhere
From records to a useful finding | The analysis process | The analyst's role | What a field represents
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Google Data Analytics Professional Certificate Free Practice Test
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A café owner asks whether weekday staffing should change after noticing “sales seem lower.” The table contains one row per day; revenue is in USD, and all four weeks are complete. Prepare a short analysis plan and a sample finding that states what the data can and cannot establish.
practical practice · Suggested time: 12 minutes
Write a concise analysis plan and a two- to three-sentence example finding. Identify a measure, comparison, quality check, and decision limitation.
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Google Data Analytics Professional Certificate
Treasury Conquer · 2,800+ exam-style practice questions with clear explanations
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Exam Syllabus
Core Google Data Analytics Professional Certificate topics
2
Ask Questions to Make Data-Driven Decisions
Make the question measurable | Map stakeholder needs | Break a problem into parts | Define the metric's denominator
3
Prepare Data for Exploration
Choose data that fits the question | Find the unit of observation | Judge a sample | Record formats and metadata
4
Process Data from Dirty to Clean
Profile before cleaning | Keep missing distinct from zero | Identify true duplicates | Standardize text safely
5
Analyze Data to Answer Questions
Filter to the intended population | Calculate with spreadsheet criteria | Control copied references | Weight grouped averages correctly
6
Share Data Through the Art of Visualization
Match chart to question | Use honest scales | Show the distribution | Dimensions and measures in Tableau
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Core knowledge88%
Applied practice76%
Ethics & safety64%
Video course preview
Google Data Analytics Professional Certificate video course
Treasury Conquer brings guided video study, worked examples, and exam-style practice into one study flow.
Core exam topics
Work through the syllabus in a clear sequence.
Worked examples
See how the method applies before you practise.
Mock debriefs
Review reasoning, choices, and common traps.
Included with any paid module · Yours for life
Bring your finance experience into focus.
Your Treasury Conquer Career Launch Kit includes completed CV examples, six interview questions per career family, a worked case and a practical 30-day plan.
Explore a real sample before choosing your exam preparation.
- Adapt the examples to your actual experience.
- Practise explaining decisions, evidence and next steps.
- Keep the complete kit, printable PDF and application tracker for life.
A lifetime buyer bonus alongside your exam preparation. Fictional examples illustrate the tools; they are not candidate results or employment promises.
Show cash visibility, forecast reasoning and financial decision support. Project, analytics and supply-chain studies are transferable inputs, not treasury designations.
Sample from the kit · Fictional example
Treasury analyst
Finance operations analyst seeking treasury responsibilities, with experience reconciling inputs and explaining forecast differences. Preparing the next credential step while building practical cash-analysis evidence.
Experience extract
Reconciled a fictional 13-week cash forecast to bank and ledger inputs and documented four timing differences.
Use the structure with your own experience and figures. Do not copy fictional achievements as your own.
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Learner reviews
What learners say about the Google Data Analytics Professional Certificate practice tools
Feedback from learners using Treasury Conquer to make Google Data Analytics Professional Certificate preparation more focused and manageable.
4.9/5
from 400+ reviews
Maya R.
Treasury Conquer learner
“While preparing for GDAP, I keep a small list of mistakes from Case Analysis and Exam-Style Scenarios. Reviewing why each answer went wrong keeps my study sessions more focused than simply rereading notes.”
Priya R.
Treasury Conquer learner
“Great GDAP prep. Treasury Conquer was clear and easy to use!”
Tom H.
Treasury Conquer learner
“For GDAP, Google Concepts and Core Domain Knowledge was the area I kept postponing. Breaking it into a few practice questions at a time makes the material much easier to revisit after work.”
Chris D.
Treasury Conquer learner
“My GDAP routine is simple: one timed set, a short break, then a careful review of Data Assessment and Interpretation. The explanations show whether I understood the idea or just guessed well.”
Marcus T.
Treasury Conquer learner
“The GDAP practice questions kept my review focused.”
Grace L.
Treasury Conquer learner
“I use lunch breaks to review Analytics Applied Practice and Decision-Making for GDAP. Short sessions work better for me because I can focus on one weak area without trying to cover the whole syllabus at once.”
Sofia L.
Treasury Conquer learner
“The hardest part of GDAP prep for me is keeping similar ideas in Methods, Procedures, and Documentation separate. I now write one-line comparisons after each practice set, which makes the next review much clearer.”
Dana W.
Treasury Conquer learner
“Treasury Conquer made GDAP prep simple and easy to follow.”
Victor S.
Treasury Conquer learner
“I am still working through GDAP, especially Ethics, Safety, and Professional Standards. Going back through missed questions slowly has shown me which details I rush past when I practice under time pressure.”
Amara K.
Treasury Conquer learner
“GDAP review felt much more manageable with these tools.”
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FAQ
Common questions about Google Data Analytics Professional Certificate
How do I turn a broad business concern into an analysis question?
Name the decision, population, metric, time period, and comparison. For example, “Are deliveries getting worse?” becomes “Among completed orders in April, what fraction arrived after the promised date, compared with March?” If April has 12 late deliveries among 120 completed orders, its late rate is 10%. If March has 8 among 100, its rate is 8%. The rate rose by 2 percentage points; the counts alone would not express the change fairly.
Why can a join change a total that was correct before the join?
A join repeats a record when its key matches multiple rows on the other side. If one order has a $30 payment and two item rows, joining the payment directly to the items produces two $30 payment values. Summing them gives an incorrect $60. Check the grain and key uniqueness of each table, aggregate items to one row per order when appropriate, then join and reconcile totals.
Should I treat a blank numeric field as zero?
Only when the field definition establishes that blank means none. Zero is an observed quantity; blank may mean unrecorded, unavailable, or inapplicable. For values 0, 5, and blank, the mean of the two known values is 2.5. Replacing blank with zero gives 1.67 and asserts a fact the data does not contain. Record the meaning of missingness before calculating.
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