https://github.com/kellewic/datasciencecoursera
Work done in Coursera's Data Science specialization courses
https://github.com/kellewic/datasciencecoursera
data-science
Last synced: 2 months ago
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Work done in Coursera's Data Science specialization courses
- Host: GitHub
- URL: https://github.com/kellewic/datasciencecoursera
- Owner: kellewic
- Created: 2017-02-18T12:43:44.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-06-03T15:47:37.000Z (about 8 years ago)
- Last Synced: 2025-02-09T19:40:31.487Z (4 months ago)
- Topics: data-science
- Language: HTML
- Homepage:
- Size: 868 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# [Coursera Data Science Specialization](https://www.coursera.org/specializations/jhu-data-science) projects
This repository contains my work completed during Coursera's Data Science specialization created by Johns Hopkins University.
From Coursera's website:
>This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
* **Beginner** - 43 weeks total
* **10 courses** - 36 quizzes, 14 assignments, 1 capstone project
#### Prerequisites
* **Algebra** - Solve basic algebraic problems such as addition, subtraction, division, multiplication and modulus.
* **Programming** - Write basic programs in any programming language that utilize basic concepts such as variables and control structures.
#### Skills you'll gain
* R
* Regression Analysis
* Github
* Knitr
* Statistical Hypothesis Testing
* Hypothesis Testing
* Model Selection
* Generalized Linear Model
* Ggplot2
* Cluster Analysis
* Natural Language Processing
* Student’s T-test