Resolved: My comments on this course
I don't think it is appropriate to call this course "data cleaning and preprocessing", because the course does not cover most of the techniques in Pandas that deal with data manipulations. I am very disappointed.
Thanks for reaching out.
Although we are sorry we have not met your expectations, thank you very much for your feedback. Updating this course is in the pipeline and should happen in the near future. We hope that upon that update (for which you will be notified accordingly) you will be able to benefit from enough lectures on data manipulation with pandas!
I am glad to know that there will be update on this course. Hope the course is getting better in terms of the content being covered. Thanks for the great work!
Thank you very much for your feedback and kind words, Christine! This is only motivating up to keep the pace up and improve our content.
Good luck and please feel free to post another question should you encounter any difficulties. Thank you.
I am sorry to send additional comments. I am just wondering if the instructor or whoever designed this course ever did anything in data manipulations with Pandas. There are so many techniques with Pandas that one can leverage to do data processing and manipulation. Unfortunately, the materials covered by the lessons are totally not practical for a data analyst to use on the day to day job. You should definitely revamp your lessons to cover much more!
Thank you very much for your feedback.
We've wanted to provide a larger set of tools than the ones that a data analyst or data scientist would use just on a daily basis.
Otherwise, as I said earlier, updating this course is in the pipeline. We are in the state of developping the relevant course content.
Hope this helps.
Sorry, I finish the course today, but i think the problems mentioned above still remain.
Hope we can get more update in the future.
Thanks for reaching out and providing this feedback!
We have recently created a Working with Text Files in Python and Intermediate Python Programming courses on our platform. An Advanced SQL course is on the way.
Please know that once we are ready to share new pandas material, you will be notified.
Thank you once again.
Just wanted to thank you for making freely available such well structured and valuable content to those who can not afford training in data analytics skills from hih quality and reputable sources such this one. The content covered is delivered in a concise way and crystal clear. The lecturer masters absolutely the art of teaching.
Having said that, typical steps of data cleaning stage would include column renaming, hunting data entry error (value consistency), checking and dealing with NaN, finding duplicates,finding and dealing with potential outliers, replacing/updating values, casting/converting data types (string dates to date/time data type).
Is this intermediate level? At Intermediate level I would have expected to get covered with regex, customer functions (user defined ), Apply/map, filtering with boolean mask, .query(), where(), new column based on condition, converting continuous variable to categorical (binning), args and kwargs, reshaping data frames (melting/long or wide) and finally data summarizing with pivot table and groupby (aggregation, transformtion,.....)
Last but not the least, I am a self tought learner relying on (youtube, google, learn.365, coursera free tutorials) at a beguinner level, and I honestly feel that a key chapter to grab quickly and efficient pandas would be to understand the essential of OOP and this should be regarded as Must at interedite level.