Coursera – Introduction to Data Science in Python 2022-8

Introduction to Data Science in Python course. This course introduces the learner to the basics of the Python programming environment, including the main Python programming techniques such as Lambda, reading and manipulating csv files and the numpy library. This course introduces data manipulation and cleaning techniques using the famous Python Panda data science library and introduces series abstraction and DataFrame as central data structures for data analysis, along with teaching how to use functions such as groupby, merge, and pivot tables. Effectively by the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course must be taken before other Applied Data Science courses with Python: Applied Mapping, Graphing and Data Visualization in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.

What you will learn in the tutorial series Introduction to Data Science in Python

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

The courses available in the Introduction to Data Science in Python training series

Prerequisites of the training set

• None

Pictures

Sample video of the course

download link

Download file – 383 MB

File(s) password: www.downloadly.ir

Size

383 MB