Women In Data™️

 Don’t just watch the trends—be a part of them! Start your journey with our ML Learning Pathway and gain the skills to lead in a world of AI and data innovation. Embrace the future of data! Learn More: https://lnkd.in/dqKdh3wB #MachineLearning #WomenInData

Who else feels like this sometimes? 🙋♀️ #DataScience #ProjectJourney #WomenInData #datahumor

It's time to test your data skills. Did you get the correct answer? Share in the comments.

Expectations vs Reality😂 #dataengineer #dataanalytics #coding #datascience #dataanalyst

Women in Data is dedicated to supporting women on their journey in data and technology. From overcoming imposter syndrome to addressing gender bias, we're here to create a more inclusive industry. Our members gain access to technical courses, professional development resources, and a strong network of like-minded individuals. Swipe through to see how we’re making a difference! 👉 Interested in joining our Pro Membership? Learn more: https://lnkd.in/gGhW-8ma #WomenInData #BreakingBarriers #InclusiveTech #DiversityInTech #SupportWomenInData #womenintech #womeninai

Congrats Andrea Barber for completing the Alteryx course on DataCamp👏 Ready to take your data skills to the next level like Andrea? Join as a Pro member today and unlock exclusive learning opportunities, certifications, and a supportive community to help you succeed: https://lnkd.in/gGhW-8ma Let’s grow together in this data journey! 💞

Join our Women in Data chapters across the globe for networking, learning, and connecting with like-minded data enthusiasts. From Dubai’s virtual meet to Kansas City's in-person Tacos & Trivia, there’s something for everyone! 🗓️ See details and RSVP below: Dubai Chapter: Chapter Meet & Network (Virtual) on Nov 18 https://lnkd.in/e4kYKeZW Phoenix Chapter: Data Governance Networking (In-Person) on Nov 19 https://lnkd.in/e8XXu_xy Kansas City Chapter: Tacos & Trivia (In-Person) on Nov 19 https://lnkd.in/eprCKWaa Chicago Chapter: Financial Planning for Data Pros (Virtual) on Nov 20 https://lnkd.in/eqgvbyHd London Chapter: Application of Gen AI and LLMs (Virtual) on Nov 22 https://lnkd.in/em49JZVQ Don’t miss out on these opportunities to grow your network! #WomenInData #DataCommunity #Dubai #phoenix #kansascity #chicago #london Nidhi Agrawal Brenea J. G. Marie Coovert

When is data too little for machine learning? Here’s a quick rule of thumb: you generally need at least ten times as many data points (rows) as there are features (columns) in your dataset. For example, with 10 features, aim for a minimum of 100 rows. That said, the amount can vary based on the complexity of your problem. #MachineLearning #DataScience #AITips #TechInsights

Our Women in Data Scholarship is here to support those ready to take on a career in data or who need that extra boost along the way. With a FREE 1-year Pro Membership, we're opening doors to resources, networking, and learning that can change the game for you! If you're ready to dive into data, now's the time! Apply today, and let's make those data dreams a reality together: https://lnkd.in/eakJryNH

"I joined Women in Data to make connections with like minded women who are just as passionate about data as I am. With so much impressive innovation in data happening every day, especially in ML and AI, it is fantastic that we have this valuable space to convene and support each other. As an advanced analytics manager working in marketing to deliver such projects to large corporations, it is exciting to see the scope of what I can deliver become increasingly efficient and valuable as advancements in data progress. Through Women in Data, I love being able to see other colleagues making similar strides in their work and be able to support each other as we accomplish our goals!" - Megan Petralia-Hurst #MemberMonday