Women in Analytics 2019

Paths

Women in Analytics 2019

Author: 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... Read more

What You Will Learn

  • Tableau
  • Deep Learning
  • Artificial Intelligence
  • R

Pre-requisites

None.

WIA Keynotes

The Importance of Ethics in Data Science

by WIA

Mar 12, 2020 / 40m

40m

Start Course
Description

Day 1 Opening Keynote: The Importance of Ethics in Data Science featuring Jennifer Prendki at the 2019 Women in Analytics Conference.

Table of contents
  1. The Importance of Ethics in Data Science

Measuring Analytics Maturity: What We Know 5 Years In

by Pluralsight

Mar 12, 2020 / 41m

41m

Start Course
Description

Measuring Analytics Maturity: What We Know 5 Years In featuring Kathy Koontz at the 2019 Women in Analytics Conference.

Table of contents
  1. Measuring Analytics Maturity: What We Know 5 Years In

Data-driven Product Improvements

by WIA

Mar 12, 2020 / 43m

43m

Start Course
Description

Data-Driven Product Improvements with Amanda Gadrow at the 2019 Women in Analytics Conference.

Table of contents
  1. Data-driven Product Improvements

WIA Speaker Q&A and Panels

Ethics in Algorithms Panel

by WIA

Mar 12, 2020 / 59m

59m

Start Course
Description

Ethics in Algorithms Panel featuring Cathy O'Neil, Emily Schlesinger, Nicole Alexander and Rehgan Avon at the 2019 Women in Analytics Conference in Columbus, OH.

Table of contents
  1. Ethics in Algorithms Panel

Women in Analytics Speaker Q&A Day 1

by WIA

Mar 12, 2020 / 47m

47m

Start Course
Description

Day 1 Speaker Q&A with Emily Schlesinger, Nicole Alexander, and Katie Sass-Schafer

Table of contents
  1. Women in Analytics Speaker Q&A Day 1

Women in Analytics Speaker Q&A Day 2

by WIA

Mar 12, 2020 / 29m

29m

Start Course
Description

Day 2 Speaker Q&A with Amanda Gadrow and Jennifer Heider at the 2019 Women in Analytics Conference.

Table of contents
  1. Women in Analytics Speaker Q&A Day 2

WIA Sessions

Designing a User-centric Data Science Product

by WIA

Mar 12, 2020 / 44m

44m

Start Course
Description

Designing a User-Centric Data Science Product featuring Katie Malone and Annie Darmofal at the 2019 Women in Analytics Conference.

Table of contents
  1. Designing a User-centric Data Science Product

Data Science Adoption: Bringing Insights to Business

by WIA

Mar 12, 2020 / 47m

47m

Start Course
Description

Data Science Adoption: Bringing Insights to the Business Panel with Jennifer Brett, Mai Alowaish, Jennifer Heider and Ruth Milligan at the 2019 Women in Analytics Conference.

Table of contents
  1. Data Science Adoption: Bringing Insights to Business

The Influence of the Chief Data Officer on Enterprise Analytics

by WIA

Mar 12, 2020 / 46m

46m

Start Course
Description

The Influence of the Chief Data Officer on Enterprise Analytics with Ursula Cottone at the 2019 Women in Analytics Conference.

Table of contents
  1. The Influence of the Chief Data Officer on Enterprise Analytics

Diversity in Analytics

by WIA

Mar 12, 2020 / 47m

47m

Start Course
Description

Diversity in Analytics with Yvonne Wang at the 2019 Women in Analytics Conference.

Table of contents
  1. Diversity in Analytics

Setting Expectations on Data Science Projects

by WIA

Mar 12, 2020 / 43m

43m

Start Course
Description

Setting Expectations on Data Science Projects with Kathleen Maley at the 2019 Women in Analytics Conference.

Table of contents
  1. Setting Expectations on Data Science Projects

Implementing Vision based Deep Learning Solution Using Open Source Tools

by WIA

Mar 12, 2020 / 36m

36m

Start Course
Description

Implementing Vision Based Deep Learning Solution using Open Source Tools featuring Neethu Elizabeth Simon at the 2019 Women in Analytics Conference.

Table of contents
  1. Implementing Vision based Deep Learning Solution Using Open Source Tools

Level Up: Start Contributing to Open Source

by WIA

Mar 12, 2020 / 24m

24m

Start Course
Description

Level up: Start contributing to open source with Soumya Kalra at the 2019 Women in Analytics Conference.

Table of contents
  1. Level Up: Start Contributing to Open Source

Transitioning from Academia to Industry

by Pluralsight

Mar 12, 2020 / 30m

30m

Start Course
Description

Academia to Industry with Dr. Katie Sasso-Schafer and Dr. Kelly Denney at the 2019 Women in Analytics Conference.

Table of contents
  1. Transitioning from Academia to Industry

Enhancing AI in Wearable Devices Using Topological Data Analysis

by WIA

Mar 12, 2020 / 23m

23m

Start Course
Description

Enhancing AI in Wearable Devices using Topological Data Analysis with Dr. Namita Lokare at the 2019 Women in Analytics Conference.

Table of contents
  1. Enhancing AI in Wearable Devices Using Topological Data Analysis

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

by WIA

Mar 12, 2020 / 35m

35m

Start Course
Description

Using Embeddings to Understand the Variance and Evolution of Data Science Skill Sets with Maryam Jahanshahi at the 2019 Women in Analytics Conference.

Table of contents
  1. Using Embeddings to Understand the Variance and Evolution of Data Science Skill Sets

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

by WIA

Mar 12, 2020 / 32m

32m

Start Course
Description

Using Visual Diagnostic Tools to Gain Insight into the Model Selection Process with Dr. Rebecca Bilbro at the 2019 Women in Analytics Conference.

Table of contents
  1. Using Visual Diagnostic Tools to Gain Insight into the Model Selection Process

Data Visualization with Tableau

by WIA

Mar 12, 2020 / 29m

29m

Start Course
Description

Data Visualization with Tableau with Dinushki De Livera at the 2019 Women in Analytics Conference.

Table of contents
  1. Data Visualization with Tableau

Introduction to Data Science in R

by WIA

Mar 12, 2020 / 40m

40m

Start Course
Description

Introduction to Data Science in R with Ezgi Karaesmen at the 2019 Women in Analytics Conference.

Table of contents
  1. Introduction to Data Science in R