https://github.com/mauriciovazquezm/data-science-professional-certificate-notes
Tasks and quizzes of the certificate in order to improve in R language.
https://github.com/mauriciovazquezm/data-science-professional-certificate-notes
data-science r-language
Last synced: 12 months ago
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Tasks and quizzes of the certificate in order to improve in R language.
- Host: GitHub
- URL: https://github.com/mauriciovazquezm/data-science-professional-certificate-notes
- Owner: MauricioVazquezM
- Created: 2022-08-21T20:12:28.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-09-15T23:59:35.000Z (almost 4 years ago)
- Last Synced: 2025-03-02T13:14:53.065Z (over 1 year ago)
- Topics: data-science, r-language
- Language: R
- Homepage:
- Size: 35.2 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Data-Science-Professional-Certificate-Notes
### Content
* [Course objective](#Course-objective)
* [Practice data](#Practice-data)
* [Syllabus](#Syllabus)
* [Bibliography](#Bibliography)
## Course objective
- "The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. The HarvardX Data Science program prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges. The program covers concepts such as probability, inference, regression, and machine learning and helps you develop an essential skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, version control with git and GitHub, and reproducible document preparation with RStudio."
## Practice Data
- "Case studies include: Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems."
## Syllabus
- R Basics
- Visualization
- Probability
- Inference and Modeling
- Productivity Tools
- Wrangling
- Linear Regression
- Machine Learning
- Capstone
## Bibliography
- Irizarry, R. A. (2019). Introduction to Data Science (First Edition). CRC Press.