Women in Data Blog
Mobility trends during the pandemic
We know that social distancing is key to “flattening the curve,” though the ripple effects of immobility are disastrous to people around the world. The impact is felt on a global scale as countries prepare for a recession. The impact is felt by companies that have suffered from a loss of clientele and are struggling to keep cash flows steady. The impact is felt by people who have lost their jobs.
Changing The Way We View Community
We have embarked on a new decade. Today more than ever, we live in a global community and the evidence is everywhere. Video conferencing with colleagues, friends, loved ones; collaborating with folks from other countries on a project; making a career transition through e-learning resources abound.
Interview: Cindi Howson, Founder of BI Scorecard and Chief Data Strategy Officer at ThoughtSpot
We were honored to interview Cindi Howson, the Chief Data Strategy Officer at ThoughtSpot. She is an analytics and BI expert, with 20 plus years’ experience, and a flair for bridging business needs with technology. Cindi was previously a Gartner Research Vice President in data and analytics, lead author of the Analytics and BI Magic Quadrant, data and analytics maturity model, as well as research in data and AI for good, NLP/BI Search, and augmented analytics. We spoke to Cindi about her Bernedoodle dog, programming languages, and how to thrive as a woman in the tech field.
Women in Data Hosts their First Symposium in NYC: All Roads Lead to Data
The data revolution is here and Women in Data wants to make it more diverse. Women in Data, commonly known as WID, is a 501(C)3 Non-Profit focused on increasing diversity in data to help create a representative workforce for tomorrow. We believe everyone should have equal opportunity in the 4th industrial revolution and be empowered to use technology for good. WID is a national organization with a network of 4,500 + data professionals and chapters in Atlanta, Boston, Dallas, New York City, Philadelphia, Sacramento, San Francisco, Sunnyvale, Vancouver, and Washington D.C.
10 Steps to Teaching Data Science Well
With the increase in demand for data scientists, there has been a parallel growth in training programs within companies and educational institutions that teach people data science. In addition to focusing on meeting the job demand, there need to be more resources for instructors facilitating data science classrooms. Here’s a list of ten steps for current and prospective data science instructors to make sure they’re creating an optimal learning environment for their students.