Back to NumPy and Pandas Basics for Future Data Scientists
Learner Reviews & Feedback for NumPy and Pandas Basics for Future Data Scientists by University of Michigan
11 ratings
About the Course
In 鈥淣umPy and Pandas Basics for Future Data Scientists,鈥� learn programming techniques using Python's NumPy and pandas libraries to write efficient and bug-free code for numerical computing.
At the start of the course, you鈥檒l be introduced to the NumPy library and will learn to perform basic NumPy array operations. After understanding the basics of the NumPy library, you鈥檒l explore more advanced array manipulations, including aggregating functions, broadcasting, reshaping, sorting, and joining arrays. By the end of this course, you will have the skills to apply multiple data manipulation techniques using advanced methods and apply functions to your code.
This is the second course in the four-course series, 鈥淒ata-Oriented Python Programming and Debugging,鈥� where you鈥檒l work to strengthen your programming capabilities and enhance your problem-solving skills.
Top reviews
Filter by:
1 - 2 of 2 Reviews for NumPy and Pandas Basics for Future Data Scientists
By James T
鈥�Mar 26, 2025
This course delivers on the title and covers the basics of NumPy and Pandas.
By Md T A
鈥�Sep 11, 2025
This course did not meet my expectations....