PDF 1: Data Analytics for B.Com Students: Complete Learning Path
Full Excel → SQL → BI learning path with practical examples drawn from commerce and finance data.
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Read More →This page lists Uncodemy's Data Analytics PDFs for B.Com students, each as its own file. Commerce graduates already understand accounts, finance and business reporting, which gives them a strong base for analytics. Any graduate can start, and the usual path is Excel, then SQL, then a BI tool.
Each PDF below is its own file, with its own title, page count and size.
Full Excel → SQL → BI learning path with practical examples drawn from commerce and finance data.
Maps accounting, costing, taxation and economics knowledge to the analytics skills and roles B.Com graduates can target.
Project ideas on finance, sales and cost data that showcase the commerce knowledge you already have.
B.Com students already work with ledgers, financial statements, budgets and taxes, which is the kind of structured numeric data analysts handle every day. Knowing how a business reports its numbers helps you ask better questions and spot errors. What you add is tools: Excel at an advanced level, SQL, a BI tool and some statistics.
| What you know | Analytics use |
|---|---|
| Accounting and financial statements | Financial reporting and variance analysis |
| Costing and budgeting | Cost analysis and forecasting |
| Taxation and GST basics | Compliance and transaction data checks |
| Business studies and economics | Reading trends and framing business questions |
Five steps, in this order, take you from spreadsheets to dashboards.
| Step | Learn |
|---|---|
| 1 | Advanced Excel: formulas, pivot tables, Power Query |
| 2 | SQL for reports and reconciliations |
| 3 | Power BI or Tableau for dashboards |
| 4 | Statistics basics |
| 5 | Projects on finance, sales or cost data |
Common starting titles for B.Com graduates moving into analytics.
Role availability, salary and job titles vary by employer, city and portfolio. This page does not promise placement or pay.
Uncodemy's Data Analytics course takes the same path the PDFs describe — advanced Excel, SQL, a BI tool, statistics basics and portfolio projects — and adds live instruction, doubt-solving and project review. Talk to the team to check current batch timings and fees.
These PDFs are study material for learning and revision. They are not a certificate, a degree or a promise of a job, and technology changes, so check official documentation for the latest details.
Spot an error? Write to info@uncodemy.com and the trainer team will review it.
Yes. Any graduate can start. Commerce knowledge of accounts and finance is a useful base, and the main tools to add are Excel, SQL and a BI tool.
Not to start. Excel and SQL need no traditional programming. Python can be added later if the role needs it.
Start with advanced Excel, then SQL, then Power BI or Tableau, and add basic statistics.
Common starting roles include data analyst, business analyst, MIS executive and financial or reporting analyst. Availability varies by employer and city.
Sales analysis, expense or budget variance dashboards and cost analysis projects use the finance knowledge you already have.
Yes, these PDFs are free to download. You can access them directly from this page without filling any form.
These PDFs are available to study from anywhere. Anyone interested in visiting Uncodemy's physical training centres can find them at the addresses below.