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

Johns Hopkins University

Building a Data Science Team

Johns Hopkins University via Coursera

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
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 organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows.

This is a focused course designed to rapidly get you up to speed on the process of building and managing a data science team. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward.

After completing this course you will know.

1. The different roles in the data science team including data scientist and data engineer
2. How the data science team relates to other teams in an organization
3. What are the expected qualifications of different data science team members
4. Relevant questions for interviewing data scientists
5. How to manage the onboarding process for the team
6. How to guide data science teams to success
7. How to encourage and empower data science teams

Commitment: 1 week of study, 4-6 hours

Course cover image by JaredZammit. Creative Commons BY-SA. https://flic.kr/p/5vuWZz

Syllabus

  • Building a Data Science Team
    • Welcome to Building a Data Science Team! This course is one module, intended to be taken in one week. the course works best if you follow along with the material in the order it is presented. Each lecture consists of videos and reading materials and every lecture has a 5 question quiz. You need to get 4 out of 5 or better on the quiz to pass. Overall the quizzes are worth 17% of your grade each, with the exception of the last quiz, which is worth 15%. I'm excited to have you in the class and look forward to your contributions to the learning community. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum.If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center.Good luck as you get started, and I hope you enjoy the course! -Jeff

Taught by

Jeff Leek, Brian Caffo and Roger Peng

Reviews

3.6 rating, based on 14 Class Central reviews

4.5 rating at Coursera based on 3274 ratings

Start your review of Building a Data Science Team

  • Building a Data Science Team is the second course in “Executive Data Science” specialization offered by John Hopkins University on Coursera. It is a one-week course that defines the different data science roles in an organization, what to look for i…
  • One of quite unique resources for people trying to build a Data Science team. Does not provide any unique knowledge, but I guess it's interesting enough to be worth taking for managers.
  • This is a good introduction to the structure and function of group members in a data science endeavor.
  • Profile image for Amir Hossein Attarzadeh
    Amir Hossein Attarzadeh
    It gives you structure and some keywords to start and go for it. there is much more thing to know and do practically in process.
  • Eric Hollowaty
  • Profile image for Alex Ivanov
    Alex Ivanov
  • Micah Hall

Never Stop Learning.

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

Someone learning on their laptop while sitting on the floor.