Coursera – Applied Data Science with Python Specialization 2024-9
Coursera – Applied Data Science with Python Specialization 2024-9 Downloadly IRSpace
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Applied Data Science with Python Specialization, etc. collection training provided by the University of Michigan is that the topic of science data applications with Python pays. In the training set, etc. instructors in 5 courses you with the science data through the programming language Python, familiar work. This set of educational-based skills is for those with a background in primary about the programming language Python, and are demanding learning topics, such as statistics, machine learning, etc. visualization information, analyzing text and social network are provided.
At the beginning of the training set and Applied Data Science with Python Specialization science data in Python will be familiar. Then enter the topics such as drawing applications, etc. graphs and representations of data by the python comes in. After mastering these topics to machine learning in Python will be discussed, and you have to do a project science data prepare.
Cases in which this course is given:
- Perform analysis to deduce statistical
- Diagnosis, good or bad, being the visualization of data
- Strengthen data analysis using machine learning
- Analysis network connections social
Profile of course
- Publisher: Coursera
- University: Michigan
- Teachers: Christopher Brooks, Kevyn Collins-Thompson, V. G. Vinod Vydiswaran, Daniel Romero
- Level: Intermediate
- Number of courses: 5 course
- Language: English
- Duration: 4 months at 10 hours a week
The courses offered within the collection:
Images
Sample movie
Installation guide
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Subtitles: English and ….
Quality: 720p
This tutorial includes 5 Cources.
Version 2024/9 has increased the number of 6 lessons and the duration of 1 hour 30 minutes compared to 2022/2.
Download Links
Applied Machine Learning in Python
Applied Plotting, Charting & Data Representation in Python
Applied Social Network Analysis in Python
Applied Text Mining in Python
Introduction to Data Science in Python
File size
3.12 GB
