Description
Applied Data Science with Python Specialization is a course offered by the University of Michigan that deals with Applied Data Science with Python. In this educational series, instructors in 5 courses introduce you to data science through the Python programming language. This skill-based tutorial is designed for those who have a basic understanding of the Python programming language and want to learn topics such as statistics, machine learning, data visualization, text analysis, and social networks.
At the beginning of the Applied Data Science with Python Specialization training series, you will learn about data science in Python. Then you enter topics such as functional mapping, graphing and data representation by Python. After mastering these topics, machine learning in Python is discussed and prepares you for data science projects.
Things taught in this course:
- Perform statistical inference analysis
- Determining whether data visualization is good or bad
- Strengthening data analysis using machine learning
- Analysis of social network connections
Specifications of Applied Data Science with Python Specialization course
- Publisher: Coursera
- University: Michigan
- Instructors: Christopher Brooks, Kevyn Collins-Thompson, VG Vinod Vydiswaran, Daniel Romero
- average level
- Number of courses: 5 courses
- English language
Courses offered in the collection:
1. Introduction to Data Science in Python
2. Applied Plotting, Charting & Data Representation in Python
3. Applied Machine Learning in Python
4. Applied Text Mining in Python
5. Applied Social Network Analysis in Python
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
This training includes 5 separate courses.
download link
Introduction to Data Science in Python
Applied Plotting, Charting & Data Representation in Python
Applied Machine Learning in Python
Applied Text Mining in Python
Applied Social Network Analysis in Python
Password file(s): www.downloadly.ir
Size
3.6 GB
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