Fundamentals of Python for Financial Econometrics

Chapter 53: Capstone Projects and Student Portfolio

How can a student transform code fragments into a defensible, reproducible analytical product for the Ceteris LAB website or a professional portfolio?

Download .ipynb Download .py

Loading notebook...Plan a complete project from question to communicationauthoritative data and a data dictionaryCompare baseline and advanced models out of samplePackage code, figures, limitations, and reproducibility files

Notebook lab guide

Related dataset

Ceteris Lab teaching sample

Estimated time

35 to 55 min

Packages

pandas, numpy

Expected output

Printed Python results that can be compared with the lesson explanation.

Learning goals

Load and inspect Ceteris Lab teaching sample.
Run the Python cells connected to Capstone Projects and Student Portfolio.
Interpret the output using Plan a complete project from question to communication and authoritative data and a data dictionary.

Common errors

File not found: check that wage_sample.csv is installed or use the course data folder.
Package import error: use the browser notebook first, then download for local Jupyter if your local packages differ.
Column name error: compare your variable names with the dataset variables listed for this notebook.

Dataset path helper

import pandas as pd

df = pd.read_csv("/data/wage_sample.csv")
df.head()

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