Description
Introduction to Data Science in Python course. This course introduces students to the basics of the Python programming environment, including the main Python programming techniques such as reading and manipulating csv files and the numpy library. This course introduces data manipulation and cleaning techniques using Python libraries such as Panda and introduces Series and DataFrame as data structures for data analysis, along with teaching how to use functions such as groupby, integration, and pivot tables. Pays effectively. Also, by the end of this course, students will be able to take structured data, clean it, apply changes to it, and run basic inferential statistical analyses.
What you will learn in the tutorial series Introduction to Data Science in Python
- Learn techniques like Lambda and manipulating csv files
- Describe common Python functions and features used for data science
- Search DataFrame structures for cleaning and processing
- Explain distribution, sampling and t-test
Course details
- Publisher: Coursera
- English language
- Duration: 4 hours
- Number of courses: 4
- teacher : Christopher Brooks
- File format: mp4
- Course Level: Introductory to Advanced
- Presenting Institution/University: Michigan University
Courses available in the educational collection
Prerequisites of the training set
Pictures
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 540p
download link
File(s) password: www.downloadly.ir
Size
383 MB
Be the first to comment