A 6-Month Roadmap to Become a Data Analyst from a Non-Tech Background

Data analysis is one of the few technology careers where a non-engineering degree is not a handicap. Business sense and clear communication count as much as tools. Here is a realistic plan if you can give two to three focused hours a day.

Month 1: Excel, properly

Formulas, lookups, pivot tables and basic charts. Work on real spreadsheets such as sales or expense data rather than toy examples.

Month 2: SQL

SELECT, WHERE, GROUP BY and JOINs. SQL is the skill most first-round interviews test, so practise until writing a query feels routine.

Month 3: Python for data

Start from zero: variables, loops, functions. Then pandas for cleaning and summarising data. You do not need to become a software developer.

Month 4: Dashboards

Pick Power BI or Tableau and build three dashboards from public datasets. Focus on answering one clear question per dashboard.

Month 5: A project that looks like real work

Choose a dataset, state a business question, clean the data, analyse it and present the findings in a short report. Put it on GitHub or a simple portfolio page.

Month 6: Interviews

Revise SQL, practise explaining your project in two minutes, and prepare for case-style questions such as how you would measure the success of a discount campaign.

Self-study or a course?

Self-study works if you are disciplined. A classroom helps if you need structure, feedback on your project and interview practice. If you are comparing options in Indore, the Data Analytics course at Debugshala follows roughly this sequence over six months, with placement support included.