Launch Your Career in Data Science
This free ten-course Data Science Specialization powered by Johns Hopkins University offers an in-depth introduction to data science, developed and taught by leading professors Roger D. Peng, PhD, Brian Caffo, PhD, and Jeff Leek, PhD. Enroll For Free Data Science Specialization Course with Certificate.

Course Features:

  • Financial aid available
  • 489,604 already enrolled
  • Included with Coursera Plus

About This Program

Data Science Specialization
This specialization covers the entire data science pipeline, from data acquisition to publication. Learn from university and industry experts and master in-demand skills.

What You’ll Learn:

  • Use R to clean, analyze, and visualize data.
  • Navigate the data science pipeline.
  • Use GitHub to manage projects.
  • Perform regression analysis and inference using regression models.

Skills You’ll Gain:

  • GitHub
  • Machine Learning
  • R Programming
  • Regression Analysis

Program Details:

  • Shareable Certificate: Add to LinkedIn profile.
  • Language: Taught in English, some content may not be translated.
  • Career Advancement: Earn a career certificate from Johns Hopkins University.

Career Support:

  • Add your credential to LinkedIn, resume, or CV.
  • Share on social media and in performance reviews.

Earn a Career Certificate:

This specialization helps you ask the right questions, manipulate data sets, and create visualizations to communicate results.

Applied Learning Project:

In the final Capstone Project, build a data product using real-world data. Demonstrate your mastery with a portfolio.

Course Breakdown:

  1. The Data Scientist’s Toolbox – 18 hours – 4.6 rating
  2. R Programming – 57 hours – 4.5 rating
  3. Getting and Cleaning Data – 19 hours – 4.5 rating
  4. Exploratory Data Analysis – 54 hours – 4.7 rating
  5. Reproducible Research – 7 hours – 4.6 rating
  6. Statistical Inference – 54 hours – 4.2 rating
  7. Regression Models – 53 hours – 4.4 rating
  8. Practical Machine Learning – 8 hours – 4.5 rating
  9. Developing Data Products – 10 hours – 4.6 rating
  10. Data Science Capstone – 5 hours – 4.5 rating

Offered by Coursera:

Advance your subject-matter expertise and earn a career certificate. Enroll now and start your journey in data science. Enroll now.


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