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Women in Analytics 2019

  • Number of Courses19 courses
  • Duration12 hours

Women in Analytics increases visibility to the women making an impact in the analytics space and provides a platform for women to lead the conversations around the advancements of analytical research, development, and applications.

Courses in this path

WIA Keynotes

The Importance of Ethics in Data Science

  • by WIA
  • 40m Duration

Measuring Analytics Maturity: What We Know 5 Years In

  • by WIA
  • 41m Duration

Data-driven Product Improvements

  • by WIA
  • 43m Duration

WIA Speaker Q&A and Panels

Ethics in Algorithms Panel

  • by WIA
  • 59m Duration

Women in Analytics Speaker Q&A Day 1

  • by WIA
  • 47m Duration

Women in Analytics Speaker Q&A Day 2

  • by WIA
  • 29m Duration

WIA Sessions

Designing a User-centric Data Science Product

  • by WIA
  • 44m Duration

Data Science Adoption: Bringing Insights to Business

  • by WIA
  • 47m Duration

The Influence of the Chief Data Officer on Enterprise Analytics

  • by WIA
  • 46m Duration

Diversity in Analytics

  • by WIA
  • 47m Duration

Setting Expectations on Data Science Projects

  • by WIA
  • 43m Duration

Implementing Vision based Deep Learning Solution Using Open Source Tools

  • by WIA
  • 36m Duration

Level Up: Start Contributing to Open Source

  • by WIA
  • 24m Duration

Transitioning from Academia to Industry

  • by WIA
  • 30m Duration

Enhancing AI in Wearable Devices Using Topological Data Analysis

  • by WIA
  • 23m Duration

Using Embeddings to Understand the Variance and Evolution of Data Science Skill Sets

  • by WIA
  • 35m Duration

Using Visual Diagnostic Tools to Gain Insight into the Model Selection Process

  • by WIA
  • 32m Duration

Data Visualization with Tableau

  • by WIA
  • 29m Duration

Introduction to Data Science in R

  • by WIA
  • 40m Duration

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WIA
Women in Analytics increases visibility to the women making an impact in the analytics space and provides a platform for women to lead the conversations around the advancements of analytical research, development, and applications.

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