grading in Data 601

Data Science lecture on cost benefit analysis and ethics

Data Science: profiling python and concurrency

Data Science lecture on scaling and estimation

Data Science

gitlab create project and upload file

neo4j and py2neo used for detecting nepotism

Graphs

clustering of numerical and text data

debugging python and addressing errors

loading Python into Jupyter

time series in Data Science, part 2 of 2

Data Science lecture on time series

automation in Data Science

data cleanup and data characterization

Data Science lecture on getting data

extract text from microsoft word document using Python

error handling in Jupyter Python 3 notebooks

reading XML files

parsing and exploring json using Python

loading a CSV into Python with Jupyter using Pandas

Data Science lecture on Python

Introduction to Data Science

grading in Data 601

using pandas melt to create tidy data in Jupyter with Python