This is a quick October update on my data science project. I am taking Coursera courses about data science and want to finish the IBM data science track by the end of the year.
You can see below my previous posts on the project:
- My goals for September -> first presentation of the project
- Book review: Ultralearning (Scott H Young) ->the post is actually about the book Ultralearning but at the end of the article I am showing how the book helped me to define my data science project better
- Data science project: first weeks -> description of the first courses I took
October update: new courses
Course 4: Python for data science and AI.
I completed this course on September 25th. The three first parts of the course focus on basic Python language skills. This was not too difficult for me thanks to the Codecademy Python course. I liked the way the different concepts were explained in the videos however. The 4th week focuses on panda and numpy. The course includes many quizzes, some practical exercises and a final assignment.
Course 5: Databases and SQL for data science.
I completed this course on October 7th. I had already learned some basic SQL skills with Codecademy before but had nearly forgotten all of it. However, I was positively surprised to see that the notions came back very fast as I was going through the course. The course includes many quizzes, some practical exercises and a final assignment. There are also a few optional chapters that are not included in the final grade.
Course 6: Data Analysis with Python
I just started this course. Just as the course 4, this course focuses on Python. However, wherever the course 4 was still pretty basic, this course should be more challenging, as many notions will be totally new to me.