Gartner Research

Leading Upskilling Initiatives in Data Science and Machine Learning

Published: 19 July 2019

ID: G00389811

Analyst(s): Peter Krensky

Summary

Despite tool enhancements and more data and analytics professionals, the talent gap is a top challenge for data science and machine learning initiatives. This is a high-level playbook to help data and analytics leaders develop in-house talent and improve data science and machine learning literacy.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Raise Data Science and Machine Learning Literacy by Showcasing Use Cases and Successes
  • Create a Skills Inventory to Identify In-House CDS Candidates
  • Design Upskilling Roadmaps for CDS Candidates and Analytics Consumers — Not Forgetting the Experts
    • The Path for CDS Candidates
    • The Path for Analytics Consumers
    • Don’t Forget to Upskill Expert Data Scientists

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