Learn to analyze financial data using Python. Master NumPy, Pandas, data visualization, portfolio analytics, technical analysis, financial modeling, and statistical analysis. Build real-world projects including an automated investment research system.
13 módulos • 26 lecciones
Master data visualization using Matplotlib and Seaborn. Learn to create compelling visualizations from basic plots to advanced statistical charts. Practice with real datasets and build visualization skills for data science, analytics, and business reporting.
Master data analysis with Pandas through hands-on exercises. Learn to create, manipulate, filter, group, and transform DataFrames in your browser. Practice real-world data wrangling with live Python execution.
Master JSON parsing, manipulation, and transformation with hands-on exercises. Learn to navigate complex data structures, transform API responses, and build data pipelines in your browser.
Learn to analyze data using AI without writing code. Master uploading spreadsheets to ChatGPT and Claude, asking the right questions, finding patterns, creating reports, visualizing data, and cleaning messy datasets.
Level up from Python basics to writing powerful, real-world Python for data, AI, and automation. Master classes and dataclasses, comprehensions and generators, decorators, context managers, robust error handling, type hints, packaging, working with files and APIs, and a practical intro to async. Hands-on examples and a free certificate of completion.
Master practical AI applications for financial professionals. Learn to leverage AI tools for financial analysis, report generation, data extraction, forecasting, audit preparation, tax research, client communication, and automation while understanding compliance considerations.