
Pandas office hours — recording from Thursday, August 14
Join me for office hours, where you can ask any questions you have about Pandas!
Each week, get hands-on data analysis exercises
that sharpen your skills using real datasets —
plus detailed solutions the next day to help you master concepts fast.
• Practice with pivot tables, multi-indexes, and PyArrow
• Get unstuck fast with Thursday walkthroughs + Jupyter notebooks
• Build real skills — not toy examples
Join me for office hours, where you can ask any questions you have about Pandas!
Get better at: CSV files, PyArrow, reducing memory usage, working with dates and times, pivot tables, and plotting.
Join me for office hours, where you can ask any questions you have about Pandas!
Get better at: CSV files, PyArrow, reducing memory usage, working with dates and times, pivot tables, and plotting.
Get better at: Working with Excel files, plotting with Plotly, applying functions, handling datetime data, and invoking window functions
Get better at: Working with Excel files, plotting with Plotly, applying functions, handling datetime data, and invoking window functions
Get better at: Working with multiple files, strings, regular expressions, and Web scraping
Get better at: Working with multiple files, strings, regular expressions, and Web scraping
Get better at: Using PyArrow, pivot tables, plotting, optimizing query speed, datetime, multi-indexes, and using xarray
Get better at: Using PyArrow, pivot tables, plotting, optimizing query speed, datetime, multi-indexes, and using xarray
Get better at: Working with excel, window functions, filter, date-time values, and joins.
Get better at: Working with excel, window functions, filter, and joins.
Level up your data-analysis skills with Python and Pandas, solving problems with real-world data sets based on current events.