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Coursera – Applied Data Science with Python Specialization 2022-2 – Download

Description

Applied data science with Python specialization, etc. The University of Michigan collection training is that the topic of scientific data applications with Python pays off. In the training set etc. Lecturers in 5 courses accompany you with the scientific data through the work familiar with the Python programming language. This series of education-based skills is aimed at those with elementary level knowledge of the Python programming language and advanced learning topics such as statistics, machine learning, etc. Visualization information, text analysis, and social networking are provided.

As you begin training sets and specializing in applied data science with Python, you will be familiar with scientific data in Python. Then enter the topics like drawing applications etc. Charts and representations of data through Python come into play. After mastering these topics, machine learning in Python will be discussed and you will need to prepare a scientific data project.

Cases in which this course is offered:

  • Perform analysis to derive statistical data
  • Diagnosis, good or bad, is the visualization of data
  • Empower data analysis with machine learning
  • Analysis of network connections in the social area

Profile of course

  • Editor: Coursera
  • University: Michigan
  • Teachers: Christopher Brooks, Kevyn Collins-Thompson, VG Vinod Vydiswaran, Daniel Romero
  • Level: intermediate
  • Number of courses: 5 courses
  • Language: English

The courses offered in the collection:

1. Introduction to Data Science in Python

2. Applied visualization, charting and data representation in Python

3. Applied Machine Learning in Python

4. Applied Text Mining in Python

5. Applied Social Network Analysis in Python

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Applied data science with Python specialization

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This tutorial includes 5 courses.

Download links

Introduction to data science in Python

Download Course – 646 MB

Applied visualization, charting and data representation in Python

Download Course – 569 MB

Applied Machine Learning in Python

Download Course – 831 MB

Applied Text Mining in Python

Download course – 500 MB

Applied Social Network Analysis in Python

Download Course – 829 MB

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File size

3.6GB