Learn Python from the ground up through financial examples: core syntax, pandas time series, returns calculations, plotting and clean, testable code.
Duration5 weeks
LevelBeginner
Modules5
Lessons20
This course teaches practical Python for people who want to work with market data. You will start with core language features and progress to NumPy, pandas and matplotlib, applying each to realistic tasks such as loading price files, computing returns and summarizing risk. Along the way you will adopt habits that matter in professional settings: virtual environments, readable functions, simple tests and version control.
5 modules · 20 lessons · 5 weeks. Curriculum preview; the final syllabus may change before enrollment opens.
Build a price file loader that cleans, validates and resamples daily data for several instruments
Create a returns and risk summary script that outputs volatility, drawdown and correlation tables
Package your analysis functions into a small module with unit tests and a README
Quantzivo certificates are completion credentials issued by Quantzivo, not accredited qualifications. Courses teach technical and research skills; they do not promise investment returns or provide investment advice.
5 weeks5 modulesTurn raw market and fundamental data into reliable insights with pandas, statistics and visualization, emphasizing data quality, reproducibility and honest interpretation.
6 weeks6 modulesWrite fast, well-structured and well-tested Python for quantitative work: performance profiling, vectorization, concurrency, typing, packaging and design patterns.
3 weeks3 modulesA structured introduction to how global equity, fixed income, currency and commodity markets are organized, who participates, and how prices and risk are communicated.
Reserve your place in a few steps, or ask us anything about the curriculum, schedule and format first.
