Data Analyst

From raw spreadsheets to decisions a business will actually make.

The complete analyst path: what analytics actually is, spreadsheets, SQL, Python, statistics you can defend, dashboards, and a taste of machine learning and big data - every topic explained, with free resources to go deeper.

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9 stages42 topics₹0 to follow
  1. 1

    Introduction to Analytics

    Understand the field before learning its tools.

    1 week0/4
  2. 2

    Spreadsheet Fluency

    Handle any messy file a stakeholder emails you without panic.

    2–3 weeks0/6

    Build: Clean a messy sales export

    Take a raw CSV with duplicates, broken dates and inconsistent categories; produce a clean sheet, a pivot summary and a one-paragraph data-quality note.

  3. 3

    SQL

    Pull your own data instead of waiting on someone else.

    3–4 weeks0/5

    Build: Answer five business questions in SQL

    Load a public dataset into SQLite or Postgres and answer revenue, retention and top-N questions with documented queries.

  4. 4

    Python for Analysis

    Automate what spreadsheets can't and unlock the PyData stack.

    3–4 weeks0/4
  5. 5

    Getting & Cleaning Data

    Master the unglamorous 70% of the job.

    2–3 weeks0/4

    Build: API-to-clean-dataset pipeline

    Pull data from a public API, clean and reshape it in pandas, and save an analysis-ready dataset with a short data dictionary.

  6. 6

    Statistics That Survive Questions

    Say 'this difference is real' and defend it.

    3 weeks0/6
  7. 7

    Visualisation & BI

    Ship a dashboard a manager checks every Monday.

    3–4 weeks0/4

    Build: Executive revenue dashboard

    Build a one-page dashboard with trend, breakdown and a written insight; present it as if to a COO.

  8. 8

    Machine Learning & Big Data (Awareness)

    Speak the language of the teams next door.

    2–3 weeks0/5
  9. 9

    Portfolio & Career

    Turn analyses into interviews.

    2 weeks0/4

  10. Final stop: prove it.

    Knowledge without proof is just a claim. Take the free Data Analyst certification — a timed, scored assessment with a public verification link recruiters can check in one click.