Course Intermediate Python for Data Science
Level up your data science skills by creating visualizations using matplotlib and manipulating data frames with Pandas.
This online course about Intermediate Python for Data Science covers a key part of what a future data analyst would require.
The intermediate python course is crucial to your data science curriculum. Learn to visualize real data with matplotlib’s functions and get to know new data structures such as the dictionary and the Pandas DataFrame. After covering key concepts such as boolean logic, control flow and loops in Python, you’re ready to blend together everything you’ve learned to solve a case study using hacker statistics.
Enroll now in this Intermediate Python for Data Science course, and don’t miss the opportunity of learning with the best, as Filip Schouwenaars is. With 87 enriching exercises, 18 videos, and an estimated time of 4 hours to successfully end up the course, you will become one of the best.
Data Science Instructor at DataCamp
Filip is the passionate developer behind several of DataCamp’s interactive courses, covering both R and Python. Under the motto ‘Eat your own dog food’, he has used the techniques DataCamp teaches its students to perform data analysis for DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.