- Data Analysis
- Statistical Programming
- Computer Programming
- Problem Solving
- General Statistics
- Data Analysis Software
- Probability & Statistics
- Computer Programming Tools
- Critical Thinking
- Programming Principles
- Data Management
- Data Structures
Data Science
Completed by Wai Chi Gordon Chan
April 23, 2016
Approximately 7 months at 10 hours a week to completeWai Chi Gordon Chan's account is verified. Coursera certifies their successful completion of Johns Hopkins University Data Science Specialization.
Course Certificates Completed
Practical Machine Learning
Data Science Capstone
The Data Scientist’s Toolbox
R Programming
Getting and Cleaning Data
Exploratory Data Analysis
Reproducible Research
Statistical Inference
Practical Machine Learning
Regression Models
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
Practical Machine Learning
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Wai Chi Gordon Chan by Invalid date
Data Science Capstone
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Wai Chi Gordon Chan by April 23, 2016
4-9 hours/week
The Data Scientist’s Toolbox
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Wai Chi Gordon Chan by July 1, 2015
1-4 hours/week
R Programming
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Wai Chi Gordon Chan by August 6, 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: Wai Chi Gordon Chan by August 3, 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: Wai Chi Gordon Chan by August 31, 2015
4-9 hours/week
Reproducible Research
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Wai Chi Gordon Chan by August 31, 2015
4-9 hours/week
Statistical Inference
Johns Hopkins University
Taught by: Brian Caffo, PhD, Jeff Leek, PhD & Roger D. Peng, PhD
Completed by: Wai Chi Gordon Chan by August 31, 2015
7-9 hours/week
Practical Machine Learning
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Wai Chi Gordon Chan by October 5, 2015
4-9 hours/week
Regression Models
Johns Hopkins University
Taught by: Brian Caffo, PhD, Roger D. Peng, PhD & Jeff Leek, PhD
Completed by: Wai Chi Gordon Chan by October 5, 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: Wai Chi Gordon Chan by November 3, 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: Wai Chi Gordon Chan by Invalid date
5-6 hours/week