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Data Science for

Technical Managers

Details

PREREQUISITES

There are no prerequisites for this course.

LENGTH

2.5+ Days

LOCATION

On-site or Live Online

STUDENT PROFILE

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

Course Description

Managers of data science teams are faced with the difficult task of managing a new and often poorly understood field.  They 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.

We offer in-person training, as well as remote training via our Live Online technology. We are able to blend these capabilities so we can teach your entire team, even if they’re not all in one place.

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

Training Content

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

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

DAY 3

Post-production Project Life Cycle

  • Monitoring
  • Maintaining
  • Expiring

Communicating Impact

  • Storytelling
  • Translating metrics and jargon
  • Engagement

Details

PREREQUISITES

There are no prerequisites for this course.

LENGTH

2.5+ Days

LOCATION

On-site or Live Online

STUDENT PROFILE

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