NFtechby Naël Fridhi

Harvard Business School Online

Core Business Essentials

Three modules, rebuilt from my own notes as pages you can poke at. Drag the price and watch revenue turn over. Delete an outlier and watch the mean move while the median sits still. Post a transaction and watch the balance sheet stay balanced.

One decision, three lenses

The modules are not three subjects. They are three passes over the same call — pick one and see what each pass asks.

We are thinking about cutting our price by 10% next quarter.

  1. 1. Economics

    Is demand elastic at the price we charge today?

    If a 10% cut brings more than 10% extra volume, revenue rises; if it brings less, you handed margin away for nothing. Elasticity above 1 says cut, below 1 says raise — and you also have to ask what the cut invites competitors to do back.

    Open the module
  2. 2. Analytics

    How much do we actually know about that elasticity?

    Run the cut as a randomised test in part of the market, not a company-wide guess. Report the result as a confidence interval so the room can see how wide the uncertainty really is before betting the quarter on a point estimate.

    Open the module
  3. 3. Accounting

    Where does the cut land in the statements?

    It hits gross margin first, then works through to net income in the pro-forma. Watch working capital too: more volume means more inventory and receivables tied up before any of it turns into cash.

    Open the module

The modules

Three modules — one on demand and competition, one on evidence, one on the numbers that record both.

Module 1

Economics for Managers

Where value comes from, and who ends up capturing it.

Demand is the hardest thing a manager has to guess at, because the number that drives it — what a customer is actually willing to pay — is invisible. This module builds demand from that one primitive, adds the supplier side, lets the two meet in a market, and ends at strategy: where to play and how to win.

  • Willingness to pay
  • Demand curve
  • Elasticity
  • Value stick
  • Supply curve
  • Sunk cost
  • +4 more
Explore the module
Module 2

Business Analytics

Deciding from evidence instead of instinct.

Never before has there been so much data — and so many confident conclusions drawn badly from it. This module is the discipline that stops that: describe a data set honestly, quantify how two things move together without claiming one causes the other, and say how much of what you see in a sample you are entitled to believe about the population.

  • Histogram
  • Skewness
  • Outliers
  • Mean, median, mode
  • Standard deviation
  • Coefficient of variation
  • +4 more
Explore the module
Module 3

Financial Accounting

The language a business uses to describe itself.

Every transaction a business makes lands in one equation that is never allowed to break. This module follows a single sale from the moment it is recorded, through debits and credits, T-accounts and a trial balance, out into the three financial statements — and then turns those statements back into judgements about performance and future value.

  • Accounting equation
  • Debits and credits
  • Accrual vs cash
  • Matching principle
  • Trial balance
  • Balance sheet
  • +4 more
Explore the module

Concept index

Every idea in the three modules, one line each, linked to the part of the page where you can play with it.

30 of 30 concepts

How the course teaches

Inductive learning

Instead of “here is the knowledge, now go practice it,” every module starts with a messy problem and asks what knowledge you can pull out of it. Stretching past what you already know is the point — that is where new problem-solving approaches come from.

That is why these pages are built the way they are. Nothing here opens with a definition. Each section hands you something to move first, and the definition arrives once you have already seen what it describes.