Taught by Paul Montero, founder and instructor
Make better decisions with data.
Catch fraud before it costs you.
Eight self-paced courses that take you from a messy spreadsheet to a fraud model in production. Built on realistic Indian business data, priced in rupees, with a GST invoice on every purchase.
- 8 coursesBeginner to advanced
- Self-pacedAccess for at least 12 months
- Pay by UPICards, netbanking, wallets too
- 7-day refundNo questions asked
New here?
Choose your path
Each path is a sequence. Start where your work is today and stop when you have what you need.
Path 1
Beginner
You work with data in spreadsheets and want to go further, or you are starting from zero.
2 courses, 18 hours
Explore the beginner pathPath 2
Intermediate
You can write a query and build a chart. You want your analysis to change decisions.
4 courses, 38 hours
- 3Statistics for Business Decisions
- 4Python for Data Analysis
- 5Dashboards & Data Storytelling
- 6Fraud Analytics
Path 3
Advanced
You are ready to build models, evaluate them honestly, and put them to work.
2 courses, 20 hours
Explore the advanced path
The courses
Eight modules, in the order they build on each other
Every course lists its chapters and opens one of them free, so you can judge the teaching before you pay.
- 1BeginnerRead chapter 1 free: What a good analysis looks like
Data Analysis Foundations
10 chapters, 8 hours
From a messy spreadsheet to a clear answer: cleaning, summarising, and presenting data so a decision can be made.
₹2,000View course - 2BeginnerRead chapter 1 free: Tables, rows, keys
SQL for Analysts
12 chapters, 10 hours
Write the queries you keep asking the data team for, on the tables your company already has.
₹2,500View course - 3IntermediateRead chapter 2 free: Variation is normal
Statistics for Business Decisions
10 chapters, 8 hours
Enough statistics to tell a real change from noise, size a sample, and read an A/B test result without being fooled.
₹3,000View course - 4IntermediateRead chapter 2 free: DataFrames
Python for Data Analysis
12 chapters, 12 hours
Pandas, notebooks, and the habits that turn a one-off script into an analysis you can rerun next month.
₹3,500View course - 5IntermediateRead chapter 1 free: Dashboards versus analyses
Dashboards & Data Storytelling
9 chapters, 8 hours
Build dashboards people open on Monday, and present findings so the decision happens in the room.
₹3,000View course - 6IntermediateRead chapter 1 free: How fraud shows up in data
Fraud Analytics
11 chapters, 10 hours
Find fraud in transaction data: the patterns, the queries, the rules, and the investigation write-up that holds up.
₹4,000View course - 7AdvancedRead chapter 2 free: Labels
Machine Learning for Fraud Detection
12 chapters, 12 hours
Build, evaluate, and deploy a fraud model that beats your rules, and know when it does not.
₹4,500View course - 8AdvancedRead chapter 1 free: Where a model fits
Applied AI for Analysts
9 chapters, 8 hours
Use large language models in real analysis work: extraction, classification, drafting, and code, with controls that hold up.
₹3,000View course
Try before you buy
Read a chapter first
Not a trailer. A full chapter from each course, exactly as paying students read it.
1Data Analysis Foundations
What a good analysis looks like
“Most analysis at work fails before any number is computed. Someone is handed an export, opens it, and starts making charts. Two hours later there are eleven charts and no answer. The fix is …
Read the chapter6Fraud Analytics
How fraud shows up in data
“Fraud is a story about incentives, but it leaves a trail in tables. A stolen card is used fast, on new devices, for goods that can be resold, before the real owner notices. An account takeov…
Read the chapter7Machine Learning for Fraud Detection
Labels
“A fraud model learns from examples of fraud, and the examples are worse than they look. A chargeback arrives 30 to 120 days after the transaction, so the most recent months of data have almo…
Read the chapter
Membership
Every course for ₹800 a month
One UPI AutoPay mandate. Access to all eight courses and anything added later, for as long as you stay. Cancel from any email, any time.
All courses
Every module, every chapter, every dataset.
New courses included
Anything published while you are a member.
Cancel any time
Access runs to the end of the paid month. No partial-month refunds, no arguments.
What you are authorising
- Amount
- ₹800 per month, incl. GST
- Frequency
- Monthly, same date
- Mandate cap
- ₹800
- Cancel
- Link in every email, or in your UPI app
Your instructor
Paul Montero
Founder and instructor
Paul has spent his career in fraud prevention and payments risk, working across many markets in Latin America, Europe, and Asia, on both the payment-provider and the merchant side.
For the last several years his focus has been Indian payments, one of the most complex fraud environments anywhere: UPI, cards, wallets, and lending, each with its own fraud patterns, data, and regulator. The courses on Ledgerline are the analysis habits, queries, and models that work came out of.
Every course here comes from work I have done on real data: transaction tables, dispute files, onboarding documents, and the dashboards teams argue about on Monday mornings. The exercises use datasets built to look like that data, with the mess left in.
Questions