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Building a Data Science Team

A strategic course that equips professionals with the knowledge to assemble and lead successful data science teams within their organizations.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

What will you in the Building a Data Science Team Course

  • Identify and describe the various roles within a data science team, including data scientists, data engineers, and data science managers.

  • Understand the qualifications and skills required for each role.

  • Develop effective strategies for recruiting and interviewing data science professionals.

  • Manage the onboarding process to integrate new team members smoothly.

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  • Organize and structure the data science team for optimal performance.

  • Foster collaboration between the data science team and other departments.

  • Encourage and empower the team to drive data-driven decision-making within the organization.

Program Overview

1. Understanding the Data Team
Duration: 30 minutes

  • Overview of data science roles: data scientist, data engineer, data science manager

  • Defining each role’s contribution to the team

2. When Do You Need a Data Science Team?
Duration: 20 minutes

  • Business cases where data science becomes essential

  • Indicators that your organization needs data capabilities

3. Roles & Skills Required
Duration: 45 minutes

  • Key qualifications for data engineers, scientists, and managers

  • How to evaluate skills and build a balanced team

4. Hiring and Onboarding
Duration: 40 minutes

  • Where to source talent

  • Best practices for interviewing and onboarding new hires

5. Structuring the Team
Duration: 40 minutes

  • Comparison between embedded and dedicated team structures

  • Managing the team effectively to deliver results

6. Collaboration & Culture
Duration: 45 minutes

  • Promoting collaboration between data science and other departments

  • Building a culture that supports data-driven decisions

7. Common Pitfalls and Final Thoughts
Duration: 30 minutes

  • Challenges like miscommunication or misalignment

  • Wrapping up with strategic leadership insights

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Job Outlook

  • Data Science Managers: Gain insights into building and leading effective data science teams.

  • HR Professionals: Understand the specific requirements and qualifications needed for data science roles.

  • Business Leaders: Learn how to integrate data science capabilities into organizational strategy.

  • Project Managers: Develop skills to manage cross-functional teams involving data science projects.

  • Aspiring Data Scientists: Acquire knowledge about team dynamics and organizational structures in data science.

9.7Expert Score
Highly Recommended
This course offers a strategic overview of assembling and managing a data science team, focusing on practical aspects of team dynamics and organizational integration.
Value
9.3
Price
9.5
Skills
9.7
Information
9.6
PROS
  • Concise and focused content suitable for busy professionals.
  • Emphasizes real-world applications and team management strategies.
  • Accessible to individuals without a technical background.
  • Part of the Executive Data Science Specialization, offering a broader learning path.
CONS
  • Limited technical depth; not intended for hands-on data science training.
  • May not cover advanced organizational challenges in large enterprises.

Specification: Building a Data Science Team

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

Course | Career Focused Learning Platform
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