Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Microcredential

Data Science

Johns Hopkins University via Coursera Specialization

Overview

Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.

Courses

Taught by

Brian Caffo, PhD, Jeff Leek, PhD and Roger D. Peng, PhD

Related Courses

Reviews

4.4 rating, based on 10 reviews

Start your review of Data Science

  • Coursera Data Science Specialization (John Hopkins Universitu) Successfully completing the inaugural capstone for the JHU/Coursera data science track was a thrill for me. The timing for the first track couldn't have been better, as at the time I was...
  • Anonymous
    Great for folks new to computer science, data science, coding! The courses are great. There's videos and resources for learning, quizzes to make sure you're retaining information, and at least one assignment demonstrating your learning per course. The...
  • Anonymous
    An entry course that opens up your data science career I strongly recommend this course to anyone who has taken statistics/economics/data analysis courses at college and would like to get some training in big-data analysis. My training background is Economics...
  • Anonymous
    Very good certificate for starting a career in Data Science
    I think this certificate is a very good way of starting a career in Data Science. It covers all the themes you need for developing in R with statistical knowledge. It also has more lectures for curious people. The coursera staff is always helping and the platform is amazing.
  • Good intro to data science for the well prepared Suppose you: - have programming experience (preferably C, C++, C# or Java ) - have a solid knowledge of the basics of statistics (descriptive and inferential). then this specialization is a great introduction...
  • Anonymous
    Great introductory Data Science course This course covers all the major aspects of the Data Science field. The instructors are reasonably good. However, some of the statistics aspects will be easier if you have some basic knowledge. (I took a basic stats...
  • Anonymous
    Informative and Valuable course with great resources
    This course is a great introduction to data science and related disciplines like analytics, statistics, machine learning etc.
    Stats and R programming can be challenging for those who do not have a stats or programming background. All in all, this was a very informative learning experience.
  • Anonymous
    4 stars all around
    I learned what I needed to know to manage and hire data scientists and coordinate well with statisticians. I might have completed the series (only skipped the capstone) if the capstone had been a project more related to my work (mapping).
  • Anonymous
    interesting capstone
    The capstone project is good experience to apply the basics of data science and machine learning. The courses covered the major topics of statistics along with R programming.
  • Anonymous

Never stop learning Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free