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Building a Data Science Team

Approx. 6 hours to complete

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Course Summary

Learn how to build a successful data science team with this course that covers everything from hiring to management.

Key Learning Points

Understand the roles and responsibilities of a data science team
Learn how to hire and onboard data scientists
Discover strategies for managing and leading a data science team

Job Positions & Salaries of people who have taken this course might have

- USA: $113,309
- India: ₹1,063,224
- Spain: €39,848
- USA: $113,309
- India: ₹1,063,224
- Spain: €39,848
- USA: $140,554
- India: ₹2,706,633
- Spain: €59,639
- USA: $113,309
- India: ₹1,063,224
- Spain: €39,848
- USA: $140,554
- India: ₹2,706,633
- Spain: €59,639
- USA: $214,000
- India: ₹5,000,000
- Spain: €100,000

Learning Outcomes

Build and manage a successful data science team
Effectively hire and onboard data scientists
Develop strategies for leading and scaling a data science team

Prerequisites or good to have knowledge before taking this course

Basic knowledge of data science concepts
Familiarity with project management

Course Difficulty Level

Intermediate

Course Format

Online Course
Self-Paced
Video Lectures
Assignments

Similar Courses

Data Science Essentials
Building a Data Science Team
Managing Data Science Projects

Related Education Paths

Notable People in This Field

Data Scientist in Residence at Accel Partners
Former U.S. Chief Data Scientist

Related Books

Description

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

Knowledge

Describe the various roles that make up a Data Science team
Manage a Data Science team onboarding
Know relevant questions for interviewing data scientists
Understand how to encourage and empower Data Science teams

Outline

Building a Data Science Team
About your instructor
The Data Team
When Do You Need Data Science?
Data Engineer: Qualifications & Skills
Data Scientist: Qualifications & Skills
Data Science Manager: Qualifications & Skills
Where To Find The Data Team
Interviewing For Data Science
Onboarding the Data Science Team
Managing the Data Science Team
Evaluating Success of the Team
Embedded Teams vs. Dedicated Groups
How Does Data Science Interact with Other Groups
Empowering Others to Use Data
Common Interaction Difficulties
Common Internal Difficulties
Wrap-Up
Lecture materials and related reading
Lecture Materials and Related Reading
Lecture Materials and Related Reading
Lecture Materials and Related Reading
Lecture Materials and Related Reading
Lecture Materials and Related Reading
Lecture Materials and Related Reading
Post-Course Survey
Defining the data science team
Data team qualifications
Assembling the team
Management strategies
Working with other teams
Common difficulties

Summary of User Reviews

Learn how to build an effective data science team with this comprehensive course on Coursera. Users have rated this course highly, citing its practical approach and engaging content as key strengths. However, some users have noted that the course can be quite challenging and may require a good amount of prior knowledge in data science.

Key Aspect Users Liked About This Course

Practical approach and engaging content

Pros from User Reviews

In-depth coverage of key concepts and strategies for building data science teams
Real-life case studies and examples make the course engaging and relevant
Opportunities to apply learnings through practical assignments and projects
Expert instructors with extensive experience in the field
Great resource for aspiring data scientists and team leaders

Cons from User Reviews

Can be quite challenging and may require some prior knowledge in data science
The course may not be suitable for beginners or those without a background in data science
Some users have reported technical issues with the platform or course materials
The course may be time-consuming and require a significant commitment from learners
The course is not free and may be expensive for some users

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