DATA ANALYST ROADMAP

You’ll receive a structured development roadmap that outlines skills, timelines, courses, and practical tasks. Follow the steps and reach the level employers require.

  • Understand the field’s scope, key concepts (data vs. information, BI vs. data analysis).

  • Learn how data is collected, stored, processed, and who relies on those insights.

  • Clarify how analysts turn raw data into actionable recommendations for business decisions.

  • Master structured problem‑solving and data‑driven experimentation approaches.

  • Learn to elicit, write, and manage clear data requirements and success criteria.

  • Build core skills in data organization, formulas, pivot tables, and basic analysis.

  • Learn to query relational databases: SELECT, JOIN, GROUP BY, and aggregations.

  • Preprocess raw data: handle missing values, outliers, data types, and feature transformation.

  • Understand distributions, hypothesis testing, confidence intervals, and statistical inference.

  • Practice summarizing data insights visually and uncovering patterns or anomalies.

  • Build interactive dashboards and scheduled reports for stakeholders.

  • Automate repetitive tasks, data pipelines, and ensure reproducibility.

  • Gain structured training and a recognized credential to validate your analyst knowledge.

  • Apply skills to real datasets: build end‑to‑end analyses, reports, and dashboards.

  • Gain real‑world experience by collaborating on live projects and understanding business contexts.

  • Document your projects—methods, findings, and impacts—to showcase to employers.

  • Connect with senior analysts and data teams for guidance, feedback, and career opportunities.

  • Stay up‑to‑date with new tools, techniques, and industry trends to continually sharpen your skills.