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Coursera - Data Science Major 2024-1 - Download

Description

The data science specialization, a collection training offered by John Hopkins University, is that science pays. Data science knowledge is interdisciplinary, which is the information used to extract the data and information required from A or the foreign minister. Many scientific fields, such as mathematics. statistics, technical data and… about the science to separate the different data they use.

Compilation of educational data science specialization includes concepts and tools data science needs to learn, types of questions, correct questions to draw a conclusion, and published output. In this course, you will build a dataset using real-world data, learning skills. The training set also includes the R programming language for working with data and managing GitHub projects.

Cases in which this course is given:

  • Use the R programming language to clean, analyze and present the data.
  • Show the entire data science path from information to liberation
  • Use GitHub to manage your project's scientific data
  • Perform analysis, regression, etc. least squares and parameters using models, regression

Profile, of course

  • Publisher: Coursera
  • University: John Hopkins
  • Teachers: Jeff Leek, Roger D. Peng, Brian Caffo
  • Level: Introductory
  • Number of courses: 5 courses
  • Language: English
  • Duration: 7 months, 10 hours a week

Courses offered in the collection:

Specialization in data science

Pictures

Specialization in data science

Sample movie

installation manual

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Subtitles: English

Quality: 720p

Version 1/2024 compared to 2020/5 videos has not changed and 477 text files have been added.

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The data scientist's toolbox

Download Part 1 - 85 MB

R Programming

Download Part 1 - 450 MB

Data acquisition and cleaning

Download Part 1 - 401 MB

Exploratory data analysis

Download Part 1 - 550 MB

A reproducible study

Download Part 1 - 641 MB

Statistical inference

Download Part 1 - 653 MB

Development of data products

Download Part 1 - 511 MB

Regression models

Download Part 1 - 1GB

Download Part 2 - 123 MB

Practical machine learning

Download Part 1 - 390 MB

The cornerstone of data science

Download Part 1 - 1GB

Download Part 2 - 282 MB

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5.99 GB

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