Python for Data Analysis: Pandas & NumPy
In this hands-on project, we will understand the fundamentals of data analysis in Python and we will leverage the power of two important python libraries known as Numpy and pandas. NumPy and Pandas are two of the most widely used python libraries in data science. They offer high-performance, easy to use structures and data analysis tools. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Buy Now Free
- Level Beginner
- Duration 2 hours
- Course by Coursera Project Network
-
Offered by
About
In this hands-on project, we will understand the fundamentals of data analysis in Python and we will leverage the power of two important python libraries known as Numpy and pandas. NumPy and Pandas are two of the most widely used python libraries in data science. They offer high-performance, easy to use structures and data analysis tools. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.Modules
Untitled Lesson
-
1
Readings
-
1
Plugin
-
1
Lab
-
1
Assignment
1
Assignment
- Test your Project Understanding
1
Labs
- Python for Data Analysis: Pandas and Numpy
1
Readings
- Project-based Course Overview
Auto Summary
Discover the essentials of data analysis with Python using powerful libraries, Pandas and NumPy. Designed for beginners in IT & Computer Science, this 120-minute hands-on project by Coursera offers high-performance tools for data science. Ideal for learners in North America, with free subscription options available. Led by expert instructors.
Ryan Ahmed