Podcasts about r ladies

Guest Yani Bellini Saibene Panelist Richard Littauer Show Notes In this episode of Sustain, host Richard welcomes guest Yani Bellini Saibene from Argentina. Yani, with a rich background in open source community management, shares her journey into the tech and open source world, and highlights her roles as the rOpenSci Community Manager, R-Ladies Project Lead, and Vice President for the Board of Directors for The Carpentries. The discussion dives into the challenges of funding, sustainability of volunteer-based models, and the importance of including diverse voices in open source development. The conversation also explores the economic disparities and cultural differences affecting contributors form the global south and how building strong local communities can empower individuals by providing them with tools, knowledge, and a sense of belonging in the wider world. Press download to hear more! [00:01:47] Yani describes her start as a researcher at INTA while at university, her degree in computer science, and her initial work developing software and teaching scientists to use computing tools. She also details her career progression and her master thesis at INTA. [00:04:49] We hear about the foundation and global expansion of R-Ladies, as Yani emphasizes community strength and the organizers' passion. She discusses the flexibility and inclusivity of the chapters, and the support and resources shared among the community. [00:08:56] Richard questions about the distinct roles and activities between rOpenSci, R-Ladies, and The Carpentries, which appear to have similar goals in teaching R, and Yani explains the different objectives of the three organizations. [00:12:50] Yani lists the funders, including the Chan Zuckerberg Initiative, Sloan Foundation, and others. She describes the funding models for R-Ladies and Carpentries and the challenges of sustaining such community-oriented projects. [00:14:52] Richard inquires about the role of the board of directors in establishing post-grant funding. Yani explains The Carpentries' membership model where institutions pay for benefits like workshops and instructor training, she mentions the perks for members, discusses the challenges of maintaining services without sufficient membership or grants, and highlights cultural and financial barriers in Latin America. [00:20:17] Richard is curious about cultural barriers and asks for further insights into overcoming cultural barriers and the limitations of translations. Yani discusses her personal journey with the English language and its importance in coding beyond syntax and shares some data from a recent study that was done, and the paper is called, “The manifold costs of being a non-native English speaker in science,” from PLOS Biology. [00:24:42] Yani discusses additional studies, mentioning the Linux Foundation report on English as a barrier in open source contribution and its influence on perceived expertise. [00:25:55] Richard asks Yani about the point at which translation efforts start to yield benefits for the community and inquires about the visible impacts and dividends from investments in internationalizing materials. Yani cites examples of immediate benefits, and discusses her involvement in translating educational materials, which has supported teaching many Spanish speaking teachers. [00:32:38] Richard raises concerns about the possibility of global exploitation through talent extraction from non-English speaking regions. Yani addresses the issue of local versus international business compensation and the ethical implications for non-profit organizations. [00:36:30] We hear Richard's concerns about how to have conversations about open source contributions and community building in a non-extractive way and he wonders if it's feasible to collectively support open source maintainers financially. Yani explains the concept of three “currencies” in any job: money, heart, and brain. [00:39:16] Yani discusses the champions program at rOpenSci, where stipends were important for participants to allocate time to the tasks and do an excellent job. [00:41:05] Find out where you can follow Yani online. Quotes [00:06:17] “In R-Ladies, you have enough informality and enough expertise to make this a special place to learn.” [00:18:26] “There is little funding for maintaining what you already have.” [00:20:40] “I have to confess that I approached the English language because I loved code.” Spotlight [00:42:26] Richard's spotlight is a book he's reading called, Theodore Rex. [00:43:10] Yani's spotlight is a friend and someone she works with at R-Ladies, Athanasia Mo Mowinckel. Links SustainOSS (https://sustainoss.org/) SustainOSS Twitter (https://twitter.com/SustainOSS?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) SustainOSS Discourse (https://discourse.sustainoss.org/) podcast@sustainoss.org (mailto:podcast@sustainoss.org) SustainOSS Mastodon (https://mastodon.social/tags/sustainoss) Open Collective-SustainOSS (Contribute) (https://opencollective.com/sustainoss) Richard Littauer Socials (https://www.burntfen.com/2023-05-30/socials) Yani Bellini Saibene GitHub (https://github.com/yabellini) Yani Bellini Saibene Mastodon (https://fosstodon.org/@yabellini) Yani Bellini Saibene Website (https://yabellini.netlify.app/) Yani Bellini Saibene LinkedIn (https://www.linkedin.com/in/yabellini/) Teaching Tech Together (https://teachtogether.tech/) R-Ladies (https://rladies.org/) The Carpentries (https://carpentries.org/index.html) rOpenSci (https://ropensci.org/) The manifold costs of being a non-native English speaker in science (PLOS Biology) (https://doi.org/10.1371/journal.pbio.3002184) Chan Zuckerberg Initiative (https://chanzuckerberg.com/) Sloan Foundation (https://sloan.org/) Drive: The Surprising Truth About What Motivates Us by Daniel H. Pink (https://www.danpink.com/books/drive/) Theodore Rex by Edmund Morris (https://en.wikipedia.org/wiki/Theodore_Rex_(book)) Dr. Athanasia Mo Mowinckel (https://drmowinckels.io/) Credits Produced by Richard Littauer (https://www.burntfen.com/) Edited by Paul M. Bahr at Peachtree Sound (https://www.peachtreesound.com/) Show notes by DeAnn Bahr Peachtree Sound (https://www.peachtreesound.com/) Special Guest: Yani Bellini Saibene.

Yanina Bellini Saibene joined us to discuss teaching, localization, barriers to learning coding, and global communities.  Yani works on Teach Tech Together (https://teachtogether.tech/) with Greg Wilson. It is a fantastic resource if you are learning to teach. It is available in English and Spanish. She also works on The Carpentries which teaches coding and data science skills to researchers worldwide.  Yani has a site (yabellini.netlify.app) that includes the courses she has online (for free). She is also the community manager of rOpenSci and is part of R-Ladies. You can find Yani on fosstodon.org/@yabellini. Transcript

How a novel blend of automation and the YouTube API formed a new R-Ladies meetup recording dashboard built entirely with R, the momentum of webR continues with a fantastic guide to create a serverless Shiny app, and a new challenger in the world of high-performance data manipulation libraries arrives. Episode Links This week's curator: Jon Calder (@jonmcalder (https://twitter.com/jonmcalder)) (Twitter) Using flexdashboard to create a GitHub Actions-powered YouTube feed (https://ivelasq.rbind.io/blog/automated-youtube-dashboard/) Building Serverless Shiny Apps with webR: A Step-by-Step Guide (https://hypebright.nl/index.php/en/2023/07/25/building-serverless-shiny-apps-with-webr-a-step-by-step-guide/) Cookbook Polars for R (https://github.com/ddotta/cookbook-rpolars) Cookbook to provide solutions to common tasks and problems in using Polars with R. A side-by-side comparison of polars, R base, dplyr, tidyr and data.table packages. Entire issue available at rweekly.org/2023-W32 (https://rweekly.org/2023-W32.html) Supplement Resources Tube Archivist - Your self-hosted YouTube media server https://www.tubearchivist.com webR code extension for HTML Quarto documents https://github.com/coatless/quarto-webr Into the webR-verse (Bob Rudis presentation at the 2023 New York R Conference) https://www.youtube.com/watch?v=inpwcTUmBDY tidypolars - Provide the functionalities of Polars with the syntax of the Tidyverse https://www.tidypolars.etiennebacher.com Supporting the show Use the contact page at https://rweekly.fireside.fm/contact to send us your feedback R-Weekly Highlights on the Podcastindex.org (https://podcastindex.org/podcast/1062040) - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby (https://getalby.com/), and then head over to the R-Weekly Highlights podcast entry on the index. A new way to think about value: https://value4value.info Get in touch with us on social media Eric Nantz: @theRcast (https://twitter.com/theRcast) (Twitter) and @rpodcast@podcastindex.social (https://podcastindex.social/@rpodcast) (Mastodon) Mike Thomas: @mike_ketchbrook (https://twitter.com/mike_ketchbrook) (Twitter) and @mike_thomas@fosstodon.org (https://fosstodon.org/@mike_thomas) (Mastodon)

Meet Kelly Hopkins, a data consultant. We talk about what consultancy looks like for her, our mutual and totally unnecessary feelings of inadequacy from different sides of the data science aisle, why making data friends is more powerful than whatever extra certification you're looking to get next, and much more.   Find more at datahumans.club Stuff mentioned in the episode - Black Tides: https://blacktidesdata.com/    Black in Data Week 2023 even (event has passed) by Black Tides: https://www.eventbrite.com/e/black-in-data-week-2023-tickets-516193347197    Robotic Process Automation (RPA): https://en.wikipedia.org/wiki/Robotic_process_automation   -- Automation Anywhere: https://www.automationanywhere.com/    -- UI Path: https://www.uipath.com/    -- Blue Prism: https://www.blueprism.com/    -- R-Ladies: https://www.rladies.org/    -- R-Ladies Philly: https://www.meetup.com/rladies-philly   -- SLC R-users group: https://www.meetup.com/slc-rug/    Kelly on LinkedIn: https://www.linkedin.com/in/kellyhopkins-data/    -- Kelly's consulting business, Launchpad Analytics, on LinkedIn: https://www.linkedin.com/company/launchpad-analytics/    Music: Savour The Moment by Shane Ivers -   https://www.silvermansound.com

Overview Gabriela de Queiroz joins us this week on the podcast. Learn what skills are needed in a technical role as an individual contributor and how these skills change as you move to a management or leadership role. Transitioning to a leadership role can be difficult but Gabriela shares how you can best prepare to move into the role and excel! Here's a hint, a community is essential! About Gabriela de Queiroz With over a decade of experience in the data space, Gabriela has worked in research and in several startups from different industries, including Software, Financial, Advertisement, and Health. Throughout her career, she has built diverse teams, created sophisticated data science solutions, engaged with customers and stakeholders to deliver business insights and drive data-centric decisions. She is passionate about building innovative solutions, understanding business gaps, and customer needs, and delivering a flawless experience. Currently, Gabriela de Queiroz is a Principal Cloud Advocate Manager at Microsoft. She leads and manages the Global AI/ML/Data team in Education Advocacy. Before that, she worked at IBM as a Program Director on Open Source, Data & AI Technologies and then as Chief Data Scientist at IBM, leading AI Strategy and Innovations. She is actively involved with several organizations to foster an inclusive community. In 2012 she founded R-Ladies, a worldwide organization for promoting diversity in the R community, present in more than 200 cities in 55+ countries. In 2019, she founded AI Inclusive, a global organization that is helping increase the representation and participation of minorities in Artificial Intelligence. Social Handles k-roz.com twitter linkedIn mastodon AI Inclusive Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://anchor.fm/women-in-data/support

In Episode 113, Gabriela de Queiroz, Principal Cloud Advocate Manager at Microsoft, joins Melinda in an impactful discussion on building global inclusion through community. They dive into the importance of building inclusive communities to address the global gap in access and opportunity. They discuss how people can start to advocate for social change by finding out what issues they're passionate about and recognizing what they can give back, no matter how small. They also explore key lessons from building inclusive communities that can help global leaders manage their teams more effectively.About Gabriela de Queiroz (she/her)Gabriela de Queiroz is a Principal Cloud Advocate Manager at Microsoft. She leads and manages the Global Education Advocacy team focused on AI, Machine Learning, and Data Science.Before that, she worked at IBM as a Program Director on Open Source, Data & AI Technologies and then as Chief Data Scientist at IBM, leading AI Strategy and Innovations.She is actively involved with several organizations to foster an inclusive community. She is the founder of R-Ladies, a worldwide organization promoting diversity in the R community, present in more than 200 cities in 60+ countries with over 100,000 members. She is also the founder of AI Inclusive, a global organization that is helping increase the representation and participation of minorities in Artificial Intelligence.Find Leading With Empathy & Allyship useful? Subscribe to our podcast and like this episode!For more about Change Catalyst, visit https://ally.cc. There, you'll also find educational resources and highlights from this episode.Connect With Gabriela de Queiroz On SocialLinkedIn: https://www.linkedin.com/in/gabrieladequeiroz/Twitter: https://twitter.com/gdequeirozInstagram: https://instagram.com/gabkrozConnect With Us On SocialYouTube: youtube.com/c/changecatalystTwitter: twitter.com/changecatalystsFacebook: facebook.com/changecatalystsInstagram: instagram.com/techinclusionLinkedIn: linkedin.com/company/changecatalystsProduction TeamCreator & Host: Melinda Briana EplerCo-Producers: Renzo Santos & Christina Swindlehurst ChanPodcast Rocket: Rob Scheerbarth & Nina Rugeles[Image description: Leading With Empathy & Allyship promo and photos of Gabriela de Queiroz, a Latina with short black hair and brown eyes, black shirt, and gray neck scarf and host Melinda Briana Epler, a White woman with blonde and red hair, glasses, red shirt, and black jacket.]Support the show

Happy Holidays, fellow listeners! Lauren Girouard-Hallam joins me on the show as we discuss Santa's powers based on the holiday hit famously recorded by Gene Autry "Up on the Housetop" in the scope of psychology of children's belief in them. And of course, we have some fun as we tease out what kind of scientist(s) would Santa Claus would be! More information about Lauren below.Lauren Girouard-Hallam, MA, MS, (she/her) is a fourth year doctoral candidate at the University of Louisville in Kentucky. She earned her Bachelor of Science in Neuroscience and her Bachelor of Arts in Theatre from Furman University in 2017 and then moved to New York City to pursue her Master of Arts in Drama Therapy, an arts-based applied counseling degree, which she earned from NYU in 2019. She also earned a Master of Science in Experimental Psychology from U of L in 2021. Her current research investigates how 3-12 year old children think about and learn from novel technologies from Siri and Alexa to search engines and the internet at large. Lauren can also be found teaching labs for graduate level statistics courses, serving as chair for the American Psychological Association's Science Student Council, and co-running Louisville Kentucky's chapter of R-Ladies, a community initiative designed to bring coding skill-building opportunities to gender minority individuals inside and outside of the academy. Lauren is also this year's ComSciCon National Flagship Conference Programming Committee & Logistics Committee liaison. When not engaging in scholarship, Lauren is most at home when curled up with her Belgian shepherd mix Molly, her wife Madison, and an excellent art-house horror film. ---Follow Us and visit scientificallysound.netInstagram: @scientificallysoundTwitter: @4theSci_Soundemail: 4thescientificallysound@gmail.com

Neste episódio conversamos Gabriela de Queiroz, Cientista de Dados Chefe da IBM, líder em Estratégia e Inovações de IA. Ela é instrutora em cursos no Coursera, na edX e na Cognitive Class. Em 2012, ela fundou a R-Ladies, uma organização mundial para promover a diversidade na comunidade R, presente em mais de 200 cidades em mais de 55 países. Em 2019, ela fundou a AI Inclusive, uma organização global que está ajudando a aumentar a representação e a participação de minorias em Inteligência Artificial. Ela é formada em Estatística pela UERJ - Universidade do Estado do Rio de Janeiro, é mestre em Epidemiologia pela FIOCRUZ - Fundação Oswaldo Cruz, e também é mestre em Estatística pela California State University - East Bay. Falamos sobre quais são desafios de um Head de Data Science em uma Big Tech como a IBM, a importância da interdisciplinaridade em Data Science, a história por trás da criação do R-Ladies, a inclusão em Inteligência Artificial e como reduzir injustiça nos algoritmos de Machine Learning, como contribuir para pacotes Python e R e muito mais! Acesse nosso post para ter acesso a links e referências: https://medium.com/lets-data/

Neste episódio conversamos com Bruna Wundervald, Estatística e Pesquisadora em Machine Learning. Ela é Doutoranda no Hamilton Institute em Maynooth, na Irlanda, e faz parte do grupo de pesquisa do Prof. Andrew Parnell. Além disso, é membra do R-Ladies, chapters de Dublin e São Paulo, e tem experiência na área de Music Information Retrieval, tendo desenvolvido dois pacotes para extração de dados musicais em R. Falamos sobre como é fazer um doutorado no exterior, Music Information Retrieval (MIR), o papel das comunidades para mulheres em Data Science (R-Ladies), a importância da estatística para o cientista de dados e muito mais! Acesse nosso post para ter acesso a links e referências: https://medium.com/lets-data/

En este episodio, grabado con el apoyo de StreamYard (https://streamyard.com/), hablamos con Inés Huertas sobre el fantástico mundo de la Inteligencia Artificial y la ciencia de datos. Inés actualmente es Head of Data and AI en Kairós Digital Solutions, pero comenzó como teleco y administradora de sistemas e incluso hizo sus pinitos como emprendedora durante varios años. Hemos repasado con ella su trayectoria hasta la actualidad, nos ha contado anécdotas de su trayectoria laboral y cómo fue la aventura de emprender. También hemos repasado aquellos proyectos en los que colabora, como el proyecto NASA Datanauts y la comunidad de R-Ladies en Madrid, la cual coordina. Hemos aprovechado para preguntarle sobre la importancia de la ética para el desarrollo y uso de la Inteligencia Artificial, así como los retos que se presentan en este campo tanto actuales como futuros. Si quieres darnos tu punto de vista, o pedirnos que traigamos a Inés de vuelta para una segunda ronda porque esta se nos ha quedado corta, escríbenos por Twitter https://twitter.com/techandladies ¡estaremos encantadas de leerte!

Cast: Milicent / Brutus the Cat - Philip MacKay Jean-Anne - Annie Nate Schindler Darlene (Lady Darkclouds) - Joseph Shelton Yolanda - Talia Beck Marvin the Octopus - Les McDougall Produced by Appleseed Special Reserve Media Written and sound designed by KE Struckley Edited by Joseph Shelton Art & Design by Shain Dick Socials: Twitter: @smalltownabsurd Facebook: smalltownabsurdpod Tumblr: smalltownabsurdpod Instagram: @smalltownabsurd

Data visualization accessibility, curating for R-Ladies, and a soccer data pipeline. Plus an annoucement on my goals for the future of the podcast. Episode Links This week's curator: Batool Almarzouq (@batool664) (https://twitter.com/batool664) Resources for Data Viz Accessibility (https://silvia.rbind.io/blog/2021-curated-compilations/01-data-viz-a11y/) Curating for @WeAreRLadies on Twitter (https://www.pipinghotdata.com/posts/2021-09-23-curating-for-wearerladies-on-twitter/) Creating a data pipeline with Github Actions & the {googledrive} package for the Canadian Premier League soccer data initiative! (https://ryo-n7.github.io/2021-09-23-CanPL-GoogleDrive-GithubActions-Tutorial/) Entire issue available at rweekly.org/2021-W39 (https://rweekly.org/2021-W39.html) Supplement Resources Revealing Room for Improvement in Accessibility within a Social Media Data Visualization Learning Community (https://silvia.rbind.io/talk/2021-05-04-data-viz-accessibility/) Why Accessibility is at the Heart of Data Visualization (https://medium.com/nightingale/accessibility-is-at-the-heart-of-data-visualization-64a38d6c505b) Growing into the R community (https://www.youtube.com/watch?v=ozkJkiYxHGU) Become a part of the R-Weekly Highlights podcast! I am looking for members of the community to join me in sharing their perspectives on the highlighted resources in future podcast episodes! If you are interested in learning more and possibly joining my efforts, please get in touch via my Twitter account (@theRcast) or via email: theRcast (at) gmail.com

No episódio de hoje do seu podcast de ciência de dados favorito, nós iremos falar sobre a linguagem R e como ela tem sido utilizada em Data Science, Machine Learning e Análise de Dados. E para nos dar uma verdadeira aula sobre tudo que a ferramenta tem para nos oferecer, convidamos Gabriela de Queiroz — Machine Learning Manager na IBM e fundadora do R-Ladies — e Athos Damiani — Cientista de Dados e cofundador do Curso R. Vem com a gente que esse podcast está incrível! Acesse nosso post do Medium para ter acesso a links e referências: https://medium.com/data-hackers/linguagem-r-com-gabriela-de-queiroz-e-athos-damiani-data-hackers-podcast-35-a21b053e2636

We took a trip to the Central African Republic to explore their culture, lifestyle, and history. According to our female guests Lucette and Dora, Ghanaian men are stingy and unromantic. Do you agree? Leave your thoughts in the comments section.

In this episode, social and data scientist Aurore Paligot shares her fantastic journey of becoming a data scientist after studying literature and getting a Ph.D. in linguistics first. Using examples from her various work, Aurore tells us why is important to bring together various disciplines to inform and give context when creating data, and to create inclusivity. She explains what data is and who creates it, the of role data visualisation, and what the Tada manifesto does for ethical and responsible use of data. You may also hear us talking about inclusion in sign language, the concept of the magic glove, AI and societal values we embed into AI, and data feminism. Alongside examples of exciting projects and collaborations Aurore is working on in her free time, as she tries to understand how using social media data can inform us about how citizens live in smart cities; how data helps us understand the ecosystem of a place to build something with it; how we live in the city in times of pandemics and experience the emptiness of the city, and what is the representation of the city from inside. Aurore Paligot is a linguist turned data specialist whose focus is to deliver meaningful insights and human-centric visualisations. Her research interests currently lie at the intersection between Tech and Social Sciences and part of her free time is spent exploring Digital Humanities. She is also a R-Ladies enthusiast and a keen Tableau developer. Aurore holds a Ph.D. in linguistics from the University of Namur (Belgium) and a specialisation in Advanced Analytics and Machine Learning from the Ubiqum Code Academy (The Netherlands). She has more than eight years of experience working with qualitative, quantitative and experimental research methods and is currently working as a Data & Analytics Consultant at Positive Thinking Company. You can connect with Aurore on LinkedIn at https://www.linkedin.com/in/aurorepaligot/ and Twitter @AurorePaligot Show Notes and Links: Aurore Paligot’s website: http://aurore.rbind.io/projects/ Book: Data Feminism by Catherine D'Ignazio and Lauren F. Klein: https://mitpress.mit.edu/books/data-feminism Tada Manifesto : https://tada.city/en/home-en/ Interview Barack Obama and Joi Ito, Wired 2016: https://www.wired.com/2016/10/president-obama-mit-joi-ito-interview/ Music Credits: Migrant Mother by Mild Maynyrd licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License, Creative Commons. Get in touch with us: Twitter: https://twitter.com/NLEpodcast Instagram: https://www.instagram.com/nlepodcast/ Facebook: https://www.facebook.com/NotLoudEnoughPodcast/ Email: notloudenoughpodcast@gmail.com

Scatter Podcast host Javier Orraca moderates a data science career panel hosted by R-Ladies Irvine. Tune in to hear five ladies in different data science industries discuss their academic and career journeys. This episode is loaded with career advice and recommendations on how to break into analytics and data science. Special thanks to Alyssa Columbus and Madeline Bauer of R-Ladies Irvine for helping make this event a reality! Enjoy the show and please visit the links below for more information. Panelists on LinkedIn: Colleen Kelly, PhD: https://www.linkedin.com/in/colleenlkelly/ Leondra James: https://www.linkedin.com/in/leondrajames/ Zhi Yang, PhD: https://www.linkedin.com/in/zhiiiyang/ Tiffany Collins: https://www.linkedin.com/in/punkrawkboss/ Karin Kricorian, PhD: https://www.linkedin.com/in/karinkricorian/ R-Ladies Irvine resources: Career Panel Video on YouTube: https://youtu.be/nYLu6V3Nvz8 R-Ladies Irvine homepage: https://www.rladiesirvine.org/ GitHub: https://github.com/rladies-irvine/presentations

Num mundo onde toda equipe de ciência de dados é composto com um time com diversos backgrounds, conheça a trajetória da Gabriela de Queiroz, estatística, epidemiologista, developer advocate, fundadora do R-Ladies e agora machine learning manager de um time de ciência de dados na IBM. Vem ouvir todo o trajeto da carreira nada trivial dessa líder e se inspirar!Agradecimento especial aos nossos ParceirosEsse episódio não seria possível sem o apoio especial dos nossos parças do Data Bootcamp, o maior bootcamp de Data Science do Brasil! Aprenda a organizar, extrair e interpretar os dados da sua empresa com as tecnologias mais avançadas usadas no mercado. Confira as datas dos próximos cursos no calendário.Os padrinhos desse episódioEsse (e muitos outros episódios) foram apadrinhados pelo Marco Rougeth e Jairo Jair

A tecnologia é um dos setores mais promissores do mundo do trabalho, no entanto, ainda conta com a baixa participação de mulheres nesse mercado. Alguns dos motivos para isso estão relacionados com questões culturais e influências que elas recebem durante suas escolhas profissionais. Diante disso, o nosso episódio piloto vai falar sobre iniciativas para a inserção e inclusão de mulheres na T.I., além de discutir os desafios que elas enfrentam desde a entrada até a permanência nesse mercado. Apresentadora: Beatriz Maia Convidadas: Josilene Fernandes, Mariana Adelino, Thais Cristina, Emily Dias e Laura Macedo Iniciativas mencionadas no podcast: Pyladies Teresina, Brazillians in Tech, R Ladies, Django Girls ------- Gostou do podcast? Nos siga nas redes sociais para acompanhar mais assuntos relacionados! Instagram: https://instagram.com/_startcoding Twitter: http://twitter.com/_startcoding Canal no Telegram: http://t.me/startcodingchannel LinkedIn: https://bit.ly/2W4Qcsp

In this episode of #DataFemme, Northwestern PhD student and fellow R-Lady Katherine Simeon and I discuss the impact of community in data science, virtual events and her creation of the Twitter account We Are R Ladies. Learn more about R-Ladies’ global impact at rladies.org. This episode is sponsored by Green Rope. Explore their comprehensive CRM offerings at greenrope.com Like what you hear? Support the creation of #DataFemme’s content by becoming a #DataFemme patron at patreon.com/datafemme.

This month’s episode delves into the benefits and areas for improvement of female and gender minority first spaces within the realm of data science. Gabriela de Queiroz, Founder of R-Ladies, Erika Braithwaite, Co-Founder and CEO of Precision Analytics and Randi Ludwig, Data Scientist at Dell share the highlights of leading their respective female and gender minority first spaces while addressing issues involving these spaces’ development in general.

R-ladies e a participação das mulheres na tecnologia com Gabriela de Queiroz e Camila Kolling.Um programa muito rico sobre as mulheres na tecnologia, Data Science, o grupo R-Ladies, o trabalho da Gabriela na IBM e da Camila na Kunumi.Notas em www.medium.com/kunumi

In this episode of the SuperDataScience Podcast, I chat with the Founder of R-Ladies, Gabriela de Queiroz. You will talk about the R Ladies Organization and how it has been founded, discuss on the gender diversity problem in the data science field, and know the different skill set Gabriela acquired during her previous careers that she was able to carry as she moved towards being a data scientist. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/195

Si quieres ver el vídeo con slides: https://youtu.be/28lcgjCazpY R-Ladies Madrid es una rama local parte de R-Ladies Global, una comunidad open source donde mujeres nos apoyamos y nos ayudamos a crecer dentro de la comunidad de R.

In this episode, Tristan and Yimin talk to Sally Norris and Thea Knowles about their work launching the first Canadian chapter of R-Ladies - a group dedicated to promoting the R programming language and statistical package to women in the research community. Hosts: Tristan Johnston and Yimin Chen

In this month's episode we chat with Alice Daish, a data scientist for The British Museum. We learn about the British Museum's digital transformation, what data science is doing behind the scenes, as well as Alice's involvement with R-Ladies and what's coming up for them in the future. We also have our usual selection of events, resources and articles, on a variety of different topics. Enjoy! The TechNet Pod is a monthly podcast that looks at what's been happening on Microsoft UK's technical channels, including TechNet UK, and the MSDevUK and TechNetUK Twitter accounts. For more information, including show notes and timestamps, check out the article for this episode: https://blogs.technet.microsoft.com/uktechnet/2017/05/09/technet-pod-4-the-data-science-one-ft-r-ladies-global

LADIES NIGHT IS A PLATFORM TO SHOW THE WOMEN OF THE POETRY WORLD WE DO APPRECIATE THEM.  ON THIS NIGHT THE LADIES CAN SPILL TWO PIECE AND THE MEN ONE. ALL THE PROPS GO TO OUR QUEENS

LADIES NIGHT IS A PLATFORM TO SHOW THE WOMEN OF THE POETRY WORLD WE DO APPRECIATE THEM.  ON THIS NIGHT THE LADIES CAN SPILL TWO PIECE AND THE MEN ONE. ALL THE PROPS GO TO OUR QUEENS

LADIES NIGHT IS A PLATFORM TO SHOW THE WOMEN OF THE POETRY WORLD WE DO APPRECIATE THEM.  ON THIS NIGHT THE LADIES CAN SPILL TWO PIECE AND THE MEN ONE. ALL THE PROPS GO TO OUR QUEENS

LADIES NIGHT IS A PLATFORM TO SHOW THE WOMEN OF THE POETRY WORLD WE DO APPRECIATE THEM.  ON THIS NIGHT THE LADIES CAN SPILL TWO PIECE AND THE MEN ONE. ALL THE PROPS GO TO OUR QUEENS

LADIES NIGHT IS A PLATFORM TO SHOW THE WOMEN OF THE POETRY WORLD WE DO APPRECIATE THEM.  ON THIS NIGHT THE LADIES CAN SPILL TWO PIECE AND THE MEN ONE. ALL THE PROPS GO TO OUR QUEENS

LADIES NIGHT IS A PLATFORM TO SHOW THE WOMEN OF THE POETRY WORLD WE DO APPRECIATE THEM.  ON THIS NIGHT THE LADIES CAN SPILL TWO PIECE AND THE MEN ONE. ALL THE PROPS GO TO OUR QUEENS

LADIES NIGHT IS A PLATFORM TO SHOW THE WOMEN OF THE POETRY WORLD WE DO APPRECIATE THEM.  ON THIS NIGHT THE LADIES CAN SPILL TWO PIECE AND THE MEN ONE. ALL THE PROPS GO TO OUR QUEENS

LADIES NIGHT IS A PLATFORM TO SHOW THE WOMEN OF THE POETRY WORLD WE DO APPRECIATE THEM.  ON THIS NIGHT THE LADIES CAN SPILL TWO PIECE AND THE MEN ONE. ALL THE PROPS GO TO OUR QUEENS

LADIES NIGHT IS A PLATFORM TO SHOW THE WOMEN OF THE POETRY WORLD WE DO APPRECIATE THEM.  ON THIS NIGHT THE LADIES CAN SPILL TWO PIECE AND THE MEN ONE. ALL THE PROPS GO TO OUR QUEENS

LADIES NIGHT IS A PLATFORM TO SHOW THE WOMEN OF THE POETRY WORLD WE DO APPRECIATE THEM.  ON THIS NIGHT THE LADIES CAN SPILL TWO PIECE AND THE MEN ONE. ALL THE PROPS GO TO OUR QUEENS

LADIES NIGHT IS A PLATFORM TO SHOW THE WOMEN OF THE POETRY WORLD WE DO APPRECIATE THEM.  ON THIS NIGHT THE LADIES CAN SPILL TWO PIECE AND THE MEN ONE. ALL THE PROPS GO TO OUR QUEENS

In this week's episode we catch you up on the world of pop culture. We also discuss the Up All Night fiasco, Community's return to TV, and the latest in pilot casting news. We also wrap up the 55th Grammy Awards and recap the Survivor: Caramoan - Fans vs Favorites premiere. Finally, we also break up with the TV show Revenge in "It's Not You, It's Revenge."