Data Science for Technical Managers

Metis
Training overview
Corporate / Group Training
On-site
2 days
Start dates
United States of America
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Course description

Data Science for Technical Managers

Managers of data science teams are faced with the difficult task of managing a new and often poorly understood field.  To be effective, managers must both understand the nature of their team’s work and translate it into business impact. They are responsible for scoping potential projects and managing the non-deterministic workflow of a data science team.  Furthermore, they must be able to translate the details of their team’s work and its impact to nontechnical stakeholders.

In this course we equip data science managers with the ability to manage their team, make nuanced decisions on project direction, and communicate the impact back effectively.

Data Science for Technical Managers Course Outcomes

Upon completion of the course, attendees should be able to:

  • Identify appropriate projects for a data science solution
  • Manage the end-to-end life cycle of a data science project, from scoping through monitoring and expiration
  • Demonstrate the impact of a data science project to external stakeholders
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COVID-19 Update

In light of COVID-19, this provider is now delivering some or all of their courses online. Contact them for more information!

Who should attend?

PREREQUISITES

There are no prerequisites for this course.

STUDENT PROFILE

Leaders with technical and/or quantitative background who need to understand AI and how to manage data science teams.

Training content

Data Science for Technical Managers Training Content

Data Science for Technical Managers Day 1:

Intro to Data Science in Business

  • Data science landscape
  • Common misconceptions
  • Applications in business and your role

Modelling Basics

  • Problem formation
  • Modeling in practice
  • Data 

The Algorithms, In English!

  • Supervised learning
  • Unsupervised learning
  • Deep learning

Data Science for Technical Managers Day 2:

Data: Error, Noise, and Spurious Correlation

  • Data basics
  • Issues arising from sampling and noise

Data Science Project Management

  • Project workflow
  • Identifying projects

Performance Measurement

  • Performance metrics
  • Standard data science plots
  • Dashboards and suites of metrics

Data Science Project Scoping

  • Technical scoping
  • Nontechnical scoping
  • Collaborative scoping

Data Science for Technical Managers Day 3:

Post-production Project Life Cycle

  • Monitoring
  • Maintaining
  • Expiring

Communicating Impact

  • Storytelling
  • Translating metrics and jargon
  • Engagement

About Metis

Metis

Metis

Metis accelerates data science and analytics learning for individuals, companies, and institutions. The Corporate Training team at Metis has been a trusted training partner to Fortune 500 clients around the globe and across numerous industries since 2015.  We are respected...


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Contact info

Metis

Metis
623 Broadway
10012 New York New York

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www.thisismetis.com

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