Python for Data Analysis: Pandas & NumPy by Coursera Project Network
Python for Data Analysis: Pandas & NumPy offered by Coursera Project Network Learners ranks fifth on the list of Best Online Data Analysis Courses. Dung this course you will learn the principles of data analysis in Python and use the power of two essential Python libraries, Numpy and pandas, in this hands-on project. In data research, NumPy and Pandas are two of the most extensively used Python packages. They provide high-performance structures and data analysis tools that are simple to use.
Note: This course is best suited to students in the North American region. We're working on bringing the same experience to other parts of the world. In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
- Task #1: define single and multi-dimensional NumPy arrays
- Task #2: leverage NumPy built-in methods and functions
- Task #3: perform mathematical operations in NumPy
- Task #4: perform arrays slicing and indexing
- Task #5: perform elements selection (conditional)
- Task #6: understand pandas fundamentals
- Task #7: pandas with csv and html data
- Task #8: pandas operations
- Task #9: pandas with functions
- Task #10: perform sorting and ordering in pandas
This course offers:
- Flexible Schedule: Set and maintain flexible deadlines.
- Certificate : Earn a Certificate upon completion
- 100% online
- Beginner Level
- Approx. 2 hours to complete
- Subtitles: English
Coursera Rating: 4.4/5
Enroll here: https://www.coursera.org/projects/python-for-data-analysis-numpy
