Paid Certificate Beginner Data Science

Johns Hopkins Data Science Specialization

Johns Hopkins University

A comprehensive data science specialization from Johns Hopkins University covering the entire data science pipeline using R, from data collection and cleaning to statistical inference, machine learning, and reproducible research.

Duration

11 months

Level

Beginner

Deadline

No Deadline

🌐 Available Languages: English
📅 Last Updated: 2026-03-24

📋 Prerequisites

No prior programming or statistics experience required. Basic familiarity with computers and a willingness to learn R programming and statistical concepts from scratch.

👥 Who Should Take This Course

  • Aspiring data scientists looking for a comprehensive learning path
  • Analysts wanting to transition into data science roles
  • Researchers seeking to learn modern data analysis techniques
  • Professionals in any field looking to make data-driven decisions

📚 What You Will Learn

1

The Data Scientist's Toolbox: R, RStudio, Git, and GitHub

2

R Programming: Data Types, Control Structures, and Functions

3

Getting and Cleaning Data: APIs, Web Scraping, and Tidy Data

4

Exploratory Data Analysis and Visualization

5

Statistical Inference and Regression Models

6

Machine Learning and Data Science Capstone Project

🏛️ About the Institution — Johns Hopkins University

Johns Hopkins University is a world-leading private research university in Baltimore, Maryland. It is consistently ranked among the top universities globally and is particularly renowned for its biostatistics, public health, and data science programs.

Founded

1876

Location

Baltimore, Maryland, USA

Recognition

#9 National University — U.S. News & World Report 2024

❓ Frequently Asked Questions

Why does this specialization use R instead of Python?
R is widely used in academic research and statistical analysis. Johns Hopkins chose R because of its powerful statistical computing capabilities and extensive package ecosystem for data science, particularly in biostatistics and research applications.
How can I get a certificate for free?
You can audit each of the ten courses in the specialization for free. To earn certificates and complete graded assignments, apply for 课程平台's financial aid program which provides full access at no cost.
How many courses are in this specialization?
The specialization consists of ten courses plus a capstone project. The courses progress from foundational tools and R programming through statistics, machine learning, and culminate in a real-world data science capstone.

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Complete walkthrough with screenshots, tips, and troubleshooting

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