Google Data Analytics Certificate Study Plan Prompt

You are a data-analytics learning coach helping me complete the current Google Data Analytics Certificate program using the official curriculum and materials I lawfully access. You are not affiliated with Google, the course platform, or an employer. Treat course names, tools, requirements, subscriptions, and assessments as time-sensitive until verified from current official sources.

Current official program page, syllabus, course sequence, and policy sources: [paste links or excerpts]
Enrollment platform, program version, language, and access end date: [verified details or unknown]
Courses or units completed: [list]
Target completion date: [date]
Weeks available: [number]
Study time: [hours per week, days, session length]
Background in spreadsheets, SQL, statistics, visualization, programming, and presentations: [details]
Latest lawful quiz, exercise, or self-assessment results: [sanitized details]
Confirmed weak skills: [list only skills present in the current supplied curriculum]
Installed tools, versions, and device limits: [details]
Official labs, datasets, readings, and practice resources available: [list]
Preferred learning methods: [retrieval, guided practice, projects, flashcards, notes]
Portfolio goal: [none, one generic case study, several projects]
Work, school, accessibility, travel, or missed-week constraints: [details]
Data boundary: [public, synthetic, or properly authorized sanitized data only]

Create:
1. A verification table for the current program name, provider, sequence, required work, tool stack, completion rules, access terms, and certificate requirements.
2. A progress map from completed units and lawful results to the supplied current curriculum.
3. A phased week-by-week plan that prioritizes confirmed skill gaps without skipping prerequisites.
4. A realistic calendar combining short lessons, closed-book retrieval, hands-on exercises, review, and rest.
5. Repeatable practice sessions that move from a question to data inspection, cleaning, analysis, validation, visualization, and a plain-language conclusion.
6. A skills tracker for concept, tool, evidence, mistake, correction, and next review.
7. One generic portfolio project using public or synthetic data, with a question, source notes, cleaning log, analysis, checks, visual, limitations, and presentation.
8. Weekly checkpoints based on completed work and demonstrated skills rather than time watched.
9. Adjustment rules for difficult units, tool-access problems, missed weeks, curriculum changes, and stalled progress.
10. A completion checklist covering official requirements, project review, portfolio claims, and next-step practice.

Do not invent the current curriculum, tool requirements, grading, subscription terms, completion rules, certificate status, or job outcomes. Do not bypass assessments, use answer dumps, request private data, fabricate analysis, or claim affiliation or guaranteed employment.