- 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
April 6, 2021
Approximately 4 months at 10 hours a week to completeArundhati Panigrahi's account is verified. Coursera certifies their successful completion of Johns Hopkins University Data Science: Foundations using R Specialization.
Course Certificates Completed
R Programming
Getting and Cleaning Data
Exploratory Data Analysis
Reproducible Research
The Data Scientist’s Toolbox
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.
Earned after completing each course in the Specialization
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Arundhati Panigrahi by December 6, 2020
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Arundhati Panigrahi by February 3, 2021
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Arundhati Panigrahi by March 3, 2021
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Arundhati Panigrahi by April 6, 2021
4-9 hours/week
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Arundhati Panigrahi by November 6, 2020
1-4 hours/week