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Run twenty tests on random data and one comes back significant. That is not a flaw in the method, it is what the method promises. This course teaches you to write the claim first, test it once, and read the answer for what it says.
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Go past the p value threshold. Learn what a test actually asks, and what a significant result does not establish.
You stop reading a small p value as proof and start asking how many tests preceded it, and how large the effect actually is.
A question written as a testable claim before any data is opened
A p value read for what it measures, and not for what it is assumed to prove
An effect size and a confidence interval, so significance has a magnitude
Fifteen tracks in the same applied, case-led format. Slide right to see them all and add one more capstone you can show.
Read a company, build a thesis, value it, and back your view with a real research report.
Turn an investor's goals into a portfolio you can construct, measure and defend.
Go from your first SIP to building and defending a real fund portfolio.
Master money end to end, from payslip to plan. Budgets, safe UPI, goals and insurance.
Spread the set, build the range, turn the comments on a live deal.
Run the diligence, rebuild the model, and write the investment paper.
Build the book, state the exposure, and defend the thesis under questioning.
Screen the deal, size the market, and build the waterfall behind the term sheet.
Ask the question first, then let the data answer it and backtest what you claim.
Build the retrieval, measure it, then say what may go live and who signs it off.
Close the month, explain the variance, and own the pack that goes to management.
Measure the exposure honestly, then report it so somebody actually acts on it.
Profile the household, sequence the plan, and deliver the news a client needs to hear.
Price the bond, read the credit, and write the memo that gets the issue away.
Size the exposure, pick the instrument, and own the accounting that follows.
1 of 15 bootcamps
One line about what changed for them.
One line about what changed for them.
One line about what changed for them.