Gartner Research

Leading Upskilling Initiatives in Data Science and Machine Learning

Published: 17 October 2017

ID: G00334219

Analyst(s): Shubhangi Vashisth, Peter Krensky , Douglas Laney

Summary

The talent gap is a top challenge for data science and machine-learning initiatives, but can be overcome by upskilling analytics professionals. This research is a high-level playbook for data and analytics leaders to develop individuals 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
    • The Path for CDS Candidates
    • The Path for Analytics Consumers

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