Bamboo Weekly #154: University rankings (solutions)
Get better at: AI queries, working with Excel files, grouping, pivot tables, and plotting.
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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
I’ve found the weekly exercises and your detailed walkthroughs incredibly helpful. They’ve significantly boosted my confidence with Pandas and data analysis in general, and I genuinely appreciate the way you connect real-world data to practical, hands-on learning.
I love Bamboo Weekly! What I most appreciated are Reuven’s voice, the data being accessible, and working through the problem and reading the answer a few days later. It’s been a consistent part of my routine and I recommend it to anyone who works with Python and data.
After being unemployed for a long time, I landed a job. What made me stand out from the other final candidates was my knowledge of Pandas, and the enthusiasm I displayed explaining why I thought it’s a better tool for analysis than Excel, in many cases.
Throughout this period, the weekly challenges provided much needed distraction and motivation. They enabled my skill set not just to remain sharp and current, but to be extended as well. Many books teach Pandas, but Bamboo Weekly is unique in providing regular exercise and deliberate practice.
From Bamboo Weekly, I've learned how to find incredibly diverse sources of data, how to analyze them and what questions can be asked of the data. I learned how to have fun with data.
I signed up because I would like to improve my knowledge and skills as a data analyst. I did not use Pandas before Bamboo Weekly for Data Analysis. I found out it is a useful tool for my work with data in many ways.
Every week I try to solve tasks on my own and I believe it is a good way to learn new skills with Pandas. Then I compare my work with your results and this is another step I can use to improve my work. I have saved all your lessons locally and I from time to time went back to find solutions or help with Pandas notebooks. It is also good to have some reviews and samples of data worldwide, to have current numbers to know about matters in a more accurate way.
The Bamboo Weekly challenges are awesome and I always learn new techniques for organizing and interpreting data.
Get better at: AI queries, working with Excel files, grouping, pivot tables, and plotting.
Get better at: AI queries, working with Excel files, grouping, pivot tables, and plotting.
Join me for office hours, where you can ask any questions you have about Pandas!
Get better at: Working with CSV files, plotting with Plotly, cleaning data, window functions, joins, and date/time data.
Get better at: Working with CSV files, plotting with Plotly, cleaning data, window functions, joins, and date/time data.
Get better at: Working with CSV files, plotting with Plotly, cleaning data, grouping, pivot tables, window functions, and datetime values.
Get better at: Working with CSV files, plotting with Plotly, cleaning data, grouping, pivot tables, window functions, and datetime values.
Get better at: Working with APIs, grouping, dates and times, and plotting with Plotly.
Get better at: Working with APIs, grouping, dates and times, and plotting with Plotly.
Join me for office hours, where you can ask any questions you have about Pandas!
Get better at: Working with APIs, grouping, dates and times, and plotting with Plotly.
Get better at: Working with APIs, grouping, dates and times, and plotting with Plotly.