Coursera – Data Science Specialization 2024-1 – Downloadly
Description
Data Science Specialization, a collection training from the University of John Hopkins, shows that science pays off. Data science knowledge is interdisciplinary and is used to extract the data and information needed by a Secretary of State or Secretary of State. Many areas of science, such as mathematics. Statistics, technical data and… this science to extract the various data they use.
The Educational Data Science Specialization collection includes concepts and tools needed to learn data science, ask the right questions from question types, create a conclusion, and publish the result. In this course, you will create a data set using real-world data to learn the skills required. The training set will also include programming languages R for working with data and GitHub for managing projects.
Cases in which this course is offered:
- Use the R programming language to clean, analyze, and present the data.
- Show the entire journey of data science from information to publication
- Use GitHub to manage scientific project data
- Perform analysis, regression, etc. Least squares and parameters using models, regression
Profile of course
- Publisher: Coursera
- University: Johns Hopkins
- Teachers: Jeff Leek, Roger D. Peng, Brian Caffo
- Level: Introduction
- Number of courses: 5 courses
- Language: English
- Duration: 7 months of 10 hours per week
The courses offered in the collection:
Pictures
Example film
installation Guide
After extracting with the player you will get your custom view.
Subtitles: English
Quality: 720p
The videos of version 1/2024 compared to 2020/5 have not changed and 477 text files have been added.
Download link
The data scientist’s toolbox
R programming
Retrieve and clean data
Exploratory data analysis
Reproducible research
Statistical inference
Development of data products
Regression models
Practical machine learning
Keystone of data science
Password file(s): free software
File size
5.99GB