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
Related Topics for further study
- Data Science Team Management
- Data Scientist Hiring Strategies
- Data Science Leadership
- Team Collaboration
- Performance Metrics
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
IntermediateCourse 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.
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 contentPros 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
Jeff Leek, PhD
4.5 Raiting
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