Description
Data Science Specialization is an educational series offered by John Hopkins University that deals with data science. Data science is an interdisciplinary knowledge that is used to extract the required data and information from one or more information sets. Many different scientific fields such as mathematics, statistics, data engineering, etc. use this science to extract different data.
The Data Science Specialization training series includes the concepts and tools you need to learn in data science, from asking the right types of questions to creating inferences and publishing results. In this course you will learn the necessary skills by building datasets using real world data. Also, in this educational series, you will get to know the R programming language for working with data and GitHub for project management.
Things taught in this course:
- Use the R programming language to clean, analyze and display data
- Showing the whole path of data science from acquiring information to publishing it
- Using GitHub to manage data science projects
- Performing regression analysis, least squares and inference using regression models
Course details
- Publisher: Coursera
- University: John Hopkins
- Instructors: Jeff Leek, Roger D. Peng, Brian Caffo
- elementary level
- Number of courses: 5 courses
- English language
- Duration of the course: 7 months, including 10 hours of work per week
Courses offered in the collection:
Pictures
Sample video
Installation guide
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Subtitle: English and…
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Version 1/2024 has not changed compared to 2020/5, and 477 text files have been added.
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The Data Scientist’s Toolbox
R Programming
Getting and Cleaning Data
Exploratory Data Analysis
Reproducible Research
Statistical Inference
Developing Data Products
Regression Models
Practical Machine Learning
Data Science Capstone
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4.68 GB
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