- Github
- Machine Learning
- R Programming
- Regression Analysis
Data Science
Completed by José Santiago Calderón
May 4, 2021
Approximately 7 months at 10 hours a week to completeJosé Santiago Calderón's account is verified. Coursera certifies their successful completion of Johns Hopkins University Data Science Specialization.
Course Certificates Completed
Reproducible Research
Developing Data Products
Exploratory Data Analysis
Data Science Capstone
Practical Machine Learning
Statistical Inference
R Programming
Getting and Cleaning Data
Regression Models
The Data Scientist’s Toolbox
The Data Scientist’s Toolbox
R Programming
Getting and Cleaning Data
Exploratory Data Analysis
Statistical Inference
Reproducible Research
Regression Models
Practical Machine Learning
Developing Data Products
Data Science Capstone
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
Reproducible Research
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: José Santiago Calderón by May 4, 2021
4-9 hours/week
Developing Data Products
Johns Hopkins University
Taught by: Brian Caffo, PhD, Jeff Leek, PhD & Roger D. Peng, PhD
Completed by: José Santiago Calderón by May 4, 2021
Exploratory Data Analysis
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: José Santiago Calderón by May 4, 2021
Data Science Capstone
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: José Santiago Calderón by May 4, 2021
4-9 hours/week
Practical Machine Learning
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: José Santiago Calderón by May 4, 2021
Statistical Inference
Johns Hopkins University
Taught by: Brian Caffo, PhD, Roger D. Peng, PhD & Jeff Leek, PhD
Completed by: José Santiago Calderón by May 4, 2021
R Programming
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: José Santiago Calderón by May 4, 2021
Getting and Cleaning Data
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: José Santiago Calderón by May 4, 2021
Regression Models
Johns Hopkins University
Taught by: Brian Caffo, PhD, Roger D. Peng, PhD & Jeff Leek, PhD
Completed by: José Santiago Calderón by May 4, 2021
The Data Scientist’s Toolbox
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: José Santiago Calderón by May 4, 2021
1-4 hours/week
The Data Scientist’s Toolbox
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: José Santiago Calderón 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: José Santiago Calderón by February 11, 2015
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: José Santiago Calderón by March 5, 2015
4-9 hours/week
Exploratory Data Analysis
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: José Santiago Calderón by March 5, 2015
4-9 hours/week
Statistical Inference
Johns Hopkins University
Taught by: Brian Caffo, PhD, Jeff Leek, PhD & Roger D. Peng, PhD
Completed by: José Santiago Calderón by June 4, 2015
7-9 hours/week
Reproducible Research
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: José Santiago Calderón by June 4, 2015
4-9 hours/week
Regression Models
Johns Hopkins University
Taught by: Brian Caffo, PhD, Roger D. Peng, PhD & Jeff Leek, PhD
Completed by: José Santiago Calderón by June 4, 2015
4-9 hours/week
Practical Machine Learning
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: José Santiago Calderón by June 28, 2015
4-9 hours/week
Developing Data Products
Johns Hopkins University
Taught by: Brian Caffo, PhD, Jeff Leek, PhD & Roger D. Peng, PhD
Completed by: José Santiago Calderón by June 28, 2015
4-9 hours/week
Data Science Capstone
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: José Santiago Calderón by August 31, 2015
5-6 hours/week