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
The courses offered within the collection:
1. The Data Scientist\\\’s Toolbox
2. R Programming
3. Getting and Cleaning Data
4. Exploratory Data Analysis
5. Reproducible Research
6. Statistical Inference
7. Regression Models
8. Practical Machine Learning
9. Developing Data Products
10. Data Science Capstone
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