Women In Data Science
With an increase in demand and growth in opportunities in fields of science, technology, engineering and math, women remain underrepresented in these fields. Women are good at communication, and promote a positive atmosphere among the team and are much dedicated in problem solving and decision making. But according to a report given by National Center for Women and Information Technology, number of women in computing occupations has been declining steadily, but the growing awareness is slowly bringing more women into the field. As per a report, women's involvement in information technology patenting has significantly increased from 1.7% in 1980 to 7.8% in 2010. In 2014, 25% of chief data officers were women, whose responsibility is to manage company's data by developing a data governance structure and leverage the data. One in four data scientists are women and they hold only 26% of all data professional positions as per a survey
- Global women in data science
- Gender diversity outlook
- Why we need women in data science?
- Resources for women in data science
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Women In Data Science Conference Speakers
Recommended Sessions
- AI Algorithms
- AI And The Consumer
- Applications Of Big Data Analysis
- Artificial Intelligence For IT Operations
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- Big Data For Industry
- Business Intelligence
- Data Analytics For AI & IoT
- Data Mining For Robotics And Intelligence Software Agents
- Data Mining Tools
- Deep Learning
- Developing AI Technologies
- Enterprise AI & Digital Transformation
- Fraud Detection And Risk Scoring
- ML Platforms With Cloud Services
- Personalisation With Deep Learning
- Predictive Maintenance With Data Science
- Quantum Computing
- Virtual Assistants & Chatbots
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