An economist uses data and theory to explain how people, firms and governments make choices, then turns that into forecasts and recommendations someone can act on. Most jobs in the US (federal agencies like BLS, the Fed, CBO; consulting firms; banks; think tanks; tech companies) ask for a master's degree, and about a quarter of workers hold a PhD. This roadmap is free end to end: you learn core theory, then the math and statistics, then econometrics with R or Python, then you build a real policy or forecasting project. Plan on roughly 12 to 18 months of part-time study to be job-ready for anal
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Stage 1 of 3 · about 12 weeks
Think like an economist: use supply and demand, opportunity cost and incentives to explain real news, and handle the math and Excel basics behind them.
Microeconomics and macroeconomics principles
Everything an economist does rests on a few ideas: scarcity, incentives, marginal thinking, markets, GDP, inflation, unemployment and interest rates. If you can explain why a gas tax changes behavior, you can reason about any policy.
Math for economics: algebra, calculus, optimization
Economic models are optimization problems: consumers maximize utility, firms maximize profit. Derivatives tell you the marginal change, which is the core of the field.
Descriptive statistics and probability
Before you model anything you must describe data honestly: means, medians, variance, distributions, correlation and the logic of sampling.
Excel for data work
Excel is the most listed tool in economist jobs. Fast cleaning, pivot tables and charts are daily work, and it is where you will first test ideas.
Then 2 more stages (about 72 weeks in all) with lessons, drills, projects, 6 interview questions with strong answers and free resources.