• Professional Development
  • Medicine & Nursing
  • Arts & Crafts
  • Health & Wellbeing
  • Personal Development

398 Educators providing Data Science courses delivered Online

Wellington Management

wellington management

London

As an investor who has studied hundreds of companies over my career, I’m a strong believer that culture is the key ingredient in driving success over the long term. In the pursuit of investment excellence, we’ve chosen to do things a little differently – from how we structure our ownership model and investment platform to the way we generate ideas. We combine independent insights across asset classes, skill sets, and investment disciplines because we believe collaboration is a rare, repeatable competitive edge. Portfolio management Our globally integrated investment boutique model brings together nearly 50 independent investment teams across all asset classes, under a single management framework. Investment research Our independent, research-driven teams draw on insights from 900+ investment professionals worldwide, including our global industry, credit, ESG, and macro teams. Sustainable investing We integrate sustainable research and engagement practices across our sustainable investment platform. This includes impact, climate, ESG forefront, and sustainable thematic investing. Investment strategy Our Investment Strategy Group (iStrat) draws on our entire investment platform to conduct research, evaluate portfolios, and implement custom client solutions. Investment science Working alongside our Investment Science Group (iSci), our investment teams leverage data science innovations to improve efficiency, find new investment ideas, and manage risk. Risk management Our investors manage risk by harnessing data-science-powered investment risk tools, a robust risk-management framework, and risk specialists across every asset class.

Women in DataĀ®

women in dataā®

As a recruiter with over 20 years of experience in the field of data science and analytics, Roisin McCarthy observed a worrying decline in female candidates applying to roles across every level. The gap in female applicants led her to examine the underlying causes and barriers to women in the data and analytics industries. What she found led her to collaborate with Britain’s foremost analytics expert, Payal Jain and together, Women in Data was formed to confront this startling problem and to agitate for change. Women in Data® aims to bring awareness through media appearances and events; in particular, the landmark annual Women in Data® conference. This began as an understated symposium, attended by 100 people in 2015 and it erupted into the most highly anticipated annual data science event in the UK. At the 2019 conference at the Arora O2 Women in Data welcomed more than 1500 attendees, and in 2020 thousands of data professionals attended a week of online Women in Data events and workshops. The message of diversity and equality is permeating into the data zeitgeist with each Women in Data® event we run. From the classrooms of Milton Keynes to the House of Lords, we have been working tirelessly to raise awareness of the issues and emphasise the value of female participation at every level. We collaborate with our corporate partners to stage regular Women in Data networking events throughout the year, providing opportunities for leaders in the field (mostly women) to share their knowledge and experiences via informative presentations and discussions. We intend to emphasise and celebrate the accomplishments of women because ‘you can’t be what you can’t see’. All Women in Data events are for women at every stage of their careers to connect with one another in a safe and stimulating environment. The demand for data science to become more inclusive and representative is growing, as evident in the generous support of our corporate partners, whose contributions enable us to run these events for free. We would like to thank them for their enthusiastic embrace of Women in Data and all that we stand for.