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Reviews 4

Average rating 4.0

Completed 100% of course

The title, Getting Started with Python Data Analysis, advertises itself as an introductory course, but even considering that, the depth of the lecture seems shallower than expected. I don't know the details, but it seems like someone who has never actually done data analysis work is teaching by only learning tools.

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todaycode
Instructor

Hello. Thank you for your feedback. This course has been operated for a year and has received various feedback from students. It is also a course that has been operated not only online but also offline. This course has been reorganized to provide lectures to those who are working as analysts in the field as well as those who want to get a job as an analyst through various channels. Based on the feedback received through these various channels, all the videos and codes for the courses were rewritten in March 2020. In addition, the guidance on how to understand and use the differences between each analysis technique such as descriptive statistics, pivot table, groupby, and crosstab has been greatly supplemented. In addition, regular expression processing and frequency analysis for unstructured text data as well as structured data have been added. The lecture time has also been increased by nearly three times from 5 hours and 33 minutes to 13 hours and 52 minutes. In addition, it covers more diverse visualization and report generation techniques by utilizing various libraries. I hope this will be helpful to those who want to get started with data analysis through Python.

Getting started with Python data analysis using public data thumbnail
todaycode

·

84 lectures

·

6,301 students

Getting started with Python data analysis using public data thumbnail
todaycode

·

84 lectures

·

6,301 students