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Over a year ago, when I decided to begin studying data science, I enrolled in Coursera’s Data Analysis with Python course. At the time I did not even know what a Jupyter Notebook was, so I watched the videos and answered the quiz questions for the course. Fast forward a year and a bit later, I came across the course and decided it would be a good time to retake the course. I am happy to say that I performed much better on the course the second time around. Because I am more knowledgeable of data analysis, I thought it would be a propitious time to write a course review on this course:-
Week 1
Week one involved creating datasets. A dataset about used automobiles was used as the basis for the lesson. The dataset can be found in the UCI page, but I was able to find this dataset on the Kaggle website. The link to this dataset can be found here:- https://www.kaggle.com/toramky/automobile-dataset
One thing that was covered in the course was how to write python code using a db api. I personally have never used this methodology because I generally get datasets from Kaggle or download them into my Google drive. It would have been nice if the course tutors had given some real life examples to practice on.
Week 2
