Data & AI / YOUR NEXT CHAPTER

Data Analyst

Clean, query and explain data to support business decisions.

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EXPLAINABLE ALIGNMENT

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YOUR LEARNING JOURNEY

4.6–9.2 months, approximately

Foundation → intermediate · 200–400 focused hours of overlapping study and project practice. Job-readiness development is ongoing.

Editorial planning ranges based on curriculum scope—not measured universal learning times. Prior knowledge and practice quality change the journey.

Your skill picture

EVIDENCE ≠ MASTERY

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Skills to strengthen

Mark skills as Learning below to track your focus.

Self-marked Learning, not an inferred proficiency rating.

Not detected in your resume

○ SQL○ Excel○ Python○ Pandas○ Data Visualization

An absent mention does not mean you do not know a skill.

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Your career roadmap

0% LEARNING PROGRESS
0 / 9 skills self-marked Completed0%

Resume detection never automatically completes a skill. Progress stays in this browser and is shared across career paths.

Suggested next step: Excel →
  1. Reliable reportingNot detected

    Excel

    Excel is a spreadsheet tool for calculations and analysis.

    20–45 focused hours · roughly 2.0–4.5 weeks at your schedule · Beginner

    Prerequisites: No specific prerequisite.

    Milestone: Create an auditable monthly sales workbook.

    View learning guide →
  2. Reliable reportingNot detected

    SQL

    SQL queries and manages relational data.

    25–60 focused hours · roughly 2.5–6.0 weeks at your schedule · Beginner

    Prerequisites: No specific prerequisite.

    Milestone: Answer ten business questions against a sample database.

    View learning guide →
  3. Repeatable cleaningNot detected

    Python

    Python is a general-purpose programming language.

    60–120 focused hours · roughly 6.0–12.0 weeks at your schedule · Beginner

    Prerequisites: No specific prerequisite.

    Milestone: Build a CSV reporting command-line tool.

    View learning guide →
  4. Repeatable cleaningNot detected

    Pandas

    Pandas manipulates tabular data in Python.

    25–50 focused hours · roughly 2.5–5.0 weeks at your schedule · Beginner

    Prerequisites: Python

    Milestone: Clean a messy sales dataset with an audit report.

    View learning guide →
  5. Explain patternsNot detected

    Statistics

    Statistics helps reason about data and uncertainty.

    60–120 focused hours · roughly 6.0–12.0 weeks at your schedule · Beginner

    Prerequisites: No specific prerequisite.

    Milestone: Compare two groups and explain uncertainty and confounders.

    View learning guide →
  6. Explain patternsNot detected

    Data Visualization

    Visualization communicates data with charts.

    25–50 focused hours · roughly 2.5–5.0 weeks at your schedule · Beginner

    Prerequisites: No specific prerequisite.

    Milestone: Create an accessible dashboard with three explained charts.

    View learning guide →
  7. Explain patternsNot detected

    Power BI

    Power BI models data and presents interactive reports.

    30–60 focused hours · roughly 3.0–6.0 weeks at your schedule · Beginner

    Prerequisites: Data Visualization

    Milestone: Build a sales report with a documented metric dictionary.

    View learning guide →
  8. Decision supportNot detected

    Communication

    Communication shares information clearly and responsibly.

    15–35 focused hours · roughly 1.5–3.5 weeks at your schedule · Beginner

    Prerequisites: No specific prerequisite.

    Milestone: Present a dashboard recommendation and its limitations.

    View learning guide →
  9. Decision supportNot detected

    Experimentation

    Experimentation tests decisions with controlled comparisons.

    40–80 focused hours · roughly 4.0–8.0 weeks at your schedule · Intermediate

    Prerequisites: Statistics · SQL

    Milestone: Design an A/B experiment and state its assumptions.

    View learning guide →

Build evidence through projects

Beginner

Sales workbook

Audit formulas and explain monthly trends.

Skills practiced: Excel

Intermediate

SQL customer analysis

Answer business questions with joins and documented assumptions.

Skills practiced: SQL · Pandas

Advanced

Dashboard decision brief

Present metrics, uncertainty and actionable recommendations.

Skills practiced: Power BI · Statistics · Communication

Career recommendations and learning timelines are educational guidance based on your resume and selected goals. They are not guarantees of employment or professional competency. Timelines vary; external resources can change. Skill guides link the source curricula used to plan this path.