Even though, the title of the course is "Introduction" but to pass the assignment is quite complex and require a lot of understanding. You have to deal with struggling in Data in real life, such as unclean, remove header, unnecessary information in text etc. which is the most difficult part of processing the data.
I think this is a excellent course to learn how to deal with the data but will recommend it for the people who has quite strong background in programming. The first chapter is simple but do not overconfident. The second chapter can be very difficult to process data and get to know how to deal with dataframe. Once you uses to how to use "Jupyter Notebook", it will much easier though the rest of the course.
Ratings and Reviews for Introduction to Data Science in Python
Back to course Page
Reviews and Ratings
Reviews
this is the great learning process and very well planned questions
this course is very useful to me
The course gives me an overview of Data science and Data visualization. However more explanation on the statistical topics would be more helpful .
it gives me the overview of data science , data analysis and data visualisations
the teaching materials provided by christopher is too brief. can be improve by more elaboration.
It was an awesome experience
très bien, prévoir l’organisation avec du temps pour les épreuves de certification (3 ième semaine surtout peut prendre une dizaine d’heures de travail et recherche selon le niveau python)
The instructor is the embodiment of monotony - adding to that, his lecutres are lacklustre, uninformative, and the student has to live and breathe on stack overflow for every assignment.
The explanation of the code written and methods could have been much more elaborate for understanding it better.