Executive Data Science Specialization

Started Dec 11

Executive Data Science Specialization

Executive Data Science Specialization

Be The Leader Your Data Team Needs. Learn to lead a data science team that generates first-rate analyses in four courses.

About This Specialization

Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.

Created by:

Industry Partners:

courses
5 courses

Follow the suggested order or choose your own.

projects
Projects

Designed to help you practice and apply the skills you learn.

certificates
Certificates

Highlight your new skills on your resume or LinkedIn.

Courses
Beginner Specialization.
No prior experience required.
  1. COURSE 1

    A Crash Course in Data Science

    Current session: Dec 11
    Commitment
    1 week of study, 4-6 hours
    Subtitles
    English, Turkish, Russian, Chinese (Traditional)

    About the Course

    By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what
  2. COURSE 2

    Building a Data Science Team

    Current session: Dec 11
    Commitment
    1 week of study, 4-6 hours
    Subtitles
    English

    About the Course

    Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organ
  3. COURSE 3

    Managing Data Analysis

    Current session: Dec 11
    Commitment
    1 week of study, 4-6 hours
    Subtitles
    English, Japanese

    About the Course

    This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical m
  4. COURSE 4

    Data Science in Real Life

    Current session: Dec 11
    Commitment
    1 week of study, 4-6 hours
    Subtitles
    English

    About the Course

    Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analy
  5. COURSE 5

    Executive Data Science Capstone

    Current session: Dec 4
    Commitment
    1 week of study, 4-6 hours
    Subtitles
    English, Indonesian, Spanish

    About the Capstone Project

    The Executive Data Science Capstone, the specialization’s culminating project, is an opportunity for people who have completed all four EDS courses to apply what they've learned to a real-world scenario developed in collaboration with Zillow, a dat

Creators

  • Johns Hopkins University

    America’s first research university, Johns Hopkins was founded on the principle that by pursuing big ideas and sharing what we learn, we make the world a better place. For more than 135 years, we haven’t strayed from that vision.

    The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.

  • Roger D. Peng, PhD

    Roger D. Peng, PhD

    Associate Professor, Biostatistics
  • Brian Caffo, PhD

    Brian Caffo, PhD

    Professor, Biostatistics
  • Jeff Leek, PhD

    Jeff Leek, PhD

    Associate Professor, Biostatistics

FAQs