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I want a data / analyst role

SQL + Excel + Python + BI tools. 2–4 month sprint.

Timeline: 2–4 months

Analyst roles reward pragmatic tool mastery + storytelling. Get comfortable with dashboards and case studies fast.

ExcelSQLPython (Pandas)StatisticsPower BI / TableauAptitude

Your milestones

1

Month 1: Excel + SQL

Two must-have tools.

  • Pivot tables & VLOOKUP
  • SQL basics + joins
  • Window functions
  • 50 SQL LeetCode
2

Month 2: Python + Stats

Pandas & fundamentals.

  • NumPy & Pandas
  • Descriptive stats
  • Probability basics
  • Matplotlib/Seaborn
3

Month 3: BI Tools

Dashboards that ship.

  • Power BI or Tableau
  • DAX basics
  • Story-telling with data
  • 3 dashboards
4

Month 4: Case Studies + Apply

Land interviews.

  • 3 end-to-end case studies
  • Kaggle notebook
  • Aptitude prep
  • Referrals

Outcomes by the end

SQL 100+ Qs solved
3 published dashboards
1 Kaggle notebook
Analyst-ready resume

Roadmaps for this path

SQL & Data Engineering

SQL mastery from basics to window functions, query optimization, and ETL pipelines.

Aptitude & Reasoning

Quantitative aptitude, logical reasoning, and verbal ability for placement aptitude rounds.

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