Data Science

Completed by José Santiago Calderón

May 4, 2021

Approximately 43 weeks to complete.

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

View certificate for José Santiago Calderón, Data Science, offered through Coursera. The Data Science Specialization covers the concepts and tools for an entire data science pipeline. Successful participants learn how to use the tools of the trade, think analytically about complex problems, manage large data sets, deploy statistical principles, create visualizations, build and evaluate machine learning algorithms, publish reproducible analyses, and develop data products.



This certificate does not confer academic credit toward a degree or official status at the Johns Hopkins University.

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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