Women in Data Podcast
Ein Podcast von womenindata - Mittwochs
Kategorien:
111 Folgen
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Ep.70 Jena Zangs - How to stay attractive to the market
Vom: 9.11.2022 -
Ep.69 Sadiqah Musa - Improving inclusion in data teams
Vom: 26.10.2022 -
Ep.68 Itoro Liney - Tackling algorithmic bias
Vom: 12.10.2022 -
Ep.67 Candace Ohm - Succeeding against the odds
Vom: 28.9.2022 -
Ep.66 Shikta Das and Dr Tazeen Rizvi - Towards more inclusive HealthTech solutions
Vom: 14.9.2022 -
Ep.65 Adriana Beal - Taking ownership of your career in data
Vom: 31.8.2022 -
Ep.64 - Neha Wadhawan - Establishing yourself in a new role
Vom: 20.7.2022 -
Ep.63 - Nicki Tinson - Reduced hours and leadership
Vom: 6.7.2022 -
Ep.62 Sophie Duffy - Future-proofing your career
Vom: 22.6.2022 -
Ep.61 - Avoiding the Glue Work black hole & gaining the recognition you deserve
Vom: 8.6.2022 -
Ep.60 Bianka Pal and Cecilia Oliveira - Starting in Data Science
Vom: 25.5.2022 -
Ep.59 Elizabeth Wanless - Professional Athlete to Data Science: Lessons from the Field
Vom: 11.5.2022 -
Ep.58 Susan Walsh - Becoming an authentic and visible role model
Vom: 27.4.2022 -
Ep.57 Gelareh Taghizadeh - AI & NLP in practice
Vom: 13.4.2022 -
Ep.56 Natalia Lyarskaya - How to build a great data science team (in a start-up)
Vom: 30.3.2022 -
Ep.55 Veerle Van Leemput - From data scientist to managing director
Vom: 16.3.2022 -
Ep.54 - Robin Sutara - Breaking the bias in data careers
Vom: 2.3.2022 -
Ep.53 Gurleen Shabharwal - How to make a successful career transition
Vom: 16.2.2022 -
Ep.52 Melis Tufur - Diving into the role of a data translator
Vom: 2.2.2022 -
Ep.51 Louise Maynard-Atem - Voicing what you want and stepping up into leadership
Vom: 19.1.2022
Welcome to the Women in Data Podcast, where every other week your host, Karen Jean-Francois interviews some of the most inspiring women working in data. Through each episode, they share their invaluable experience and knowledge. Leaving no stone unturned, the WiD Podcast series will provide you with information on the use of data in various industries, plus helpful tips for career development. More importantly, it will enable you to become the data professional you want to be.