Coursera – Data Science Specialization 2024-1

Coursera – Data Science Specialization 2024-1 Downloadly IRSpace

Coursera – Data Science Specialization 2024-1
Coursera – Data Science Specialization 2024-1

Data Science Specialization, a collection training provided by the University of John Hopkins is that science pays. Data science knowledge is interdisciplinary that to extract the data and information required from A or foreign minister has set information used. Many areas of science, such as mathematics. statistics, engineering data and… of this science to extract the different data they use.

Collection of educational Data Science Specialization includes concepts and tools that data science needs to learn, you of question types the correct questions to create a conclusion and published the result to be. In this course, you build a data set using data from the real world, skills needed to learn. Also in the training set with the programming language R to work with data, and GitHub for the management of the projects will be familiar.

Cases in which this course is given:

  • Use the programming language R to clean, analyze and represent the data
  • Show all the path of data science from information, to release it
  • Use GitHub to manage the project science data
  • Perform analysis, regression, etc. least squares and استباط with the use of 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 at 10 hours a week

The courses offered within the collection:

Data Science Specialization

Images

Data Science Specialization

Sample movie

Installation guide

After the Extract with the Player your custom view.

Subtitles: English

Quality: 720p

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

Download link

The Data Scientist’s Toolbox

Download Part 1 – 85 MB

R Programming

Download Part 1 – 450 MB

Getting and Cleaning Data

Download Part 1 – 401 MB

Exploratory Data Analysis

Download Part 1 – 550 MB

Reproducible Research

Download Part 1 – 641 MB

Statistical Inference

Download Part 1 – 653 MB

Developing Data Products

Download Part 1 – 511 MB

Regression Models

Download Part 1 – 1 GB

Download Part 2 – 123 MB

Practical Machine Learning

Download Part 1 – 390 MB

Data Science Capstone

Download Part 1 – 1 GB

Download Part 2 – 282 MB

File size

5.99 GB