I’m happy to share with you my another guided project which took me almost the whole month to finish I worked a lot on it and tried to incorporate all the knowledge that I obtained writing my articles. Namely, I used missing value visualizations, stem plots, pretty-printed tables. I paid a lot of attention to the dataviz part making each plot as readable and informative as possible. Also, I optimized my code by introducing many case-specific functions and (for the first time) added descriptive docstrings to each. Apart from considering best markets by country, I analyzed also the situation by age categories, but only for the USA, since it’s a predominant market anyway.
An interesting thing that I noticed is a huge amount of people willing to learn to program free of charge. Well, probably not so surprizing: the dataset in use is the one of a freeCodeCamp survey, and this website offers free learning. In my project, I experimented with excluding such people from the analysis, but the overall proportions (the number of learners by country and by age category) remained almost the same.
Another extremity is represented by people who learn to program for scaringly high prices, up to $80,000/month! I beleive that there is always a limit to the quality/price relation, especially considering that a lot of people managed to learn new skills in whatever sphere almost free of charge. Well, as for learning Data Science, I’d definitely advise them DQ, as a way to save their money and to have a rapid and high-quality progress in their learning!
I’ll be very grateful to you for reviewing my project and giving your feedback. What can be improved in terms of the code or storytelling? Are their some discrepancies, mismatches, errors, or just typos? What can be skipped or added? Whatever thing you’ll notice and let me know would very helpful to me!
Thanks a lot in advance!