Engineering and Technology
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
This second course on the Python Data Science Toolbox focuses on further enhancing your Python data science skills. The course begins by delving into iterators, which you have already encountered in the context of for loops. Subsequently, you will explore list comprehensions, an invaluable tool for data scientists working with Python. Finally, the course concludes with a comprehensive case study, allowing you to apply the techniques learned throughout both parts of this course.
by DataCamp
Continue to build your modern Data Science skills by learning about iterators and list comprehension...
by DataCamp
Learn the art of writing your own functions in Python, as well as key concepts like scoping and erro...
by DataCamp
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples,...
by DataCamp
This course will show you how to integrate spatial data into your Python Data Science workflow.
by DataCamp
Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with e...
by DataCamp
Explore the concepts and applications of linear models with python and build models to describe, pre...
by DataCamp
Learn to combine data from multiple tables by joining data together using pandas.
by DataCamp
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s t...
by DataCamp
Master the basics of data analysis with Python in just four hours. This online course will introduce...
by DataCamp
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and M...