- Github
- Machine Learning
- R Programming
- Regression Analysis
Data Science
Completed by John Letteboer
May 22, 2019
Approximately 7 months at 10 hours a week to completeJohn Letteboer's account is verified. Coursera certifies their successful completion of Johns Hopkins University Data Science Specialization.
Course Certificates Completed
Data Science Capstone
Exploratory Data Analysis
Getting and Cleaning Data
R Programming
Regression Models
Reproducible Research
Statistical Inference
The Data Scientist’s Toolbox
Practical Machine Learning
Developing Data Products
The Data Scientist’s Toolbox
R Programming
Getting and Cleaning Data
Exploratory Data Analysis
Statistical Inference
Reproducible Research
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: John Letteboer by May 22, 2019
4-9 hours/week
Exploratory Data Analysis
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: John Letteboer by June 24, 2018
Getting and Cleaning Data
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: John Letteboer by April 16, 2018
R Programming
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: John Letteboer by February 17, 2018
Regression Models
Johns Hopkins University
Taught by: Brian Caffo, PhD, Roger D. Peng, PhD & Jeff Leek, PhD
Completed by: John Letteboer by November 29, 2018
Reproducible Research
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: John Letteboer by July 25, 2018
4-9 hours/week
Statistical Inference
Johns Hopkins University
Taught by: Brian Caffo, PhD, Roger D. Peng, PhD & Jeff Leek, PhD
Completed by: John Letteboer by October 23, 2018
The Data Scientist’s Toolbox
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: John Letteboer by January 21, 2018
1-4 hours/week
Practical Machine Learning
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: John Letteboer by February 4, 2019
Developing Data Products
Johns Hopkins University
Taught by: Brian Caffo, PhD, Jeff Leek, PhD & Roger D. Peng, PhD
Completed by: John Letteboer by March 4, 2019
The Data Scientist’s Toolbox
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: John Letteboer by Invalid date
1-4 hours/week
R Programming
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: John Letteboer by Invalid date
7-9 hours/week
Getting and Cleaning Data
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: John Letteboer by Invalid date
4-9 hours/week
Exploratory Data Analysis
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: John Letteboer 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: John Letteboer by Invalid date
7-9 hours/week
Reproducible Research
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: John Letteboer by Invalid date
4-9 hours/week