- Github
- Machine Learning
- R Programming
- Regression Analysis
Data Science
Completed by Jordan Scott DeHerrera
April 19, 2016
Approximately 11 months at 7 hours a week to completeJordan Scott DeHerrera's account is verified. Coursera certifies their successful completion of Johns Hopkins University Data Science Specialization.
Course Certificates Completed
Data Science Capstone
Developing Data Products
The Data Scientist’s Toolbox
R Programming
Exploratory Data Analysis
Reproducible Research
Practical Machine Learning
Practical Machine Learning
Reproducible Research
Getting and Cleaning Data
Reproducible Research
Statistical Inference
Regression Models
What you will learn
Use R to clean, analyze, and visualize data.
Navigate the entire data science pipeline from data acquisition to publication.
Use GitHub to manage data science projects.
Perform regression analysis, least squares and inference using regression models.
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Data Science Capstone
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Jordan Scott DeHerrera by April 19, 2016
4-9 hours/week
Developing Data Products
Johns Hopkins University
Taught by: Brian Caffo, PhD, Jeff Leek, PhD & Roger D. Peng, PhD
Completed by: Jordan Scott DeHerrera by February 3, 2016
The Data Scientist’s Toolbox
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Jordan Scott DeHerrera by January 12, 2015
1-4 hours/week
R Programming
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Jordan Scott DeHerrera by February 11, 2015
7-9 hours/week
Exploratory Data Analysis
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Jordan Scott DeHerrera by March 5, 2015
4-9 hours/week
Reproducible Research
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Jordan Scott DeHerrera by Invalid date
4-9 hours/week
Practical Machine Learning
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Jordan Scott DeHerrera by Invalid date
4-9 hours/week
Practical Machine Learning
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Jordan Scott DeHerrera by Invalid date
4-9 hours/week
Reproducible Research
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Jordan Scott DeHerrera by Invalid date
4-9 hours/week
Getting and Cleaning Data
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Jordan Scott DeHerrera by October 5, 2015
4-9 hours/week
Reproducible Research
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Jordan Scott DeHerrera by Invalid date
4-9 hours/week
Statistical Inference
Johns Hopkins University
Taught by: Brian Caffo, PhD, Jeff Leek, PhD & Roger D. Peng, PhD
Completed by: Jordan Scott DeHerrera by November 29, 2015
7-9 hours/week
Regression Models
Johns Hopkins University
Taught by: Brian Caffo, PhD, Roger D. Peng, PhD & Jeff Leek, PhD
Completed by: Jordan Scott DeHerrera by January 18, 2016
4-9 hours/week
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