- Data Analysis
- Statistical Programming
- Computer Programming
- Computer Programming Tools
- Data Management
- Programming Principles
- Data Analysis Software
- Data Structures
- Critical Thinking
- Problem Solving
- General Statistics
- Big Data
Data Science: Foundations using R
Completed by donald fernandes
February 14, 2024
Approximately 4 months at 10 hours a week to completedonald fernandes's account is verified. Coursera certifies their successful completion of Johns Hopkins University Data Science: Foundations using R Specialization.
Course Certificates Completed
Reproducible Research
R Programming
Exploratory Data Analysis
Getting and Cleaning Data
The Data Scientist’s Toolbox
What you will learn
Use R to clean, analyze, and visualize data.
Learn how to ask the right questions, obtain data, and perform reproducible research.
Use GitHub to manage data science projects.
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: donald fernandes by February 14, 2024
4-9 hours/week
R Programming
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: donald fernandes by January 29, 2024
Exploratory Data Analysis
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: donald fernandes by February 11, 2024
Getting and Cleaning Data
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: donald fernandes by February 9, 2024
The Data Scientist’s Toolbox
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: donald fernandes by January 26, 2024
1-4 hours/week