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Data scientist is now the highest-paying job for students graduating with a bachelor’s degree in the United States and is projected to grow from a $133.7 billion market in 2024 to a $276.18 billion market by 2029. However, experiences with data are rare in today’s K-12 classrooms and curriculum. This conference will introduce K-12 students, educators, and parents to foundational data science concepts and examples of data science careers across industries with a combination of workshops and presentations, divided into three levels for age-appropriate content. *K-12 educators and parents are encouraged to attend!*

THIS CONFERENCE WILL BE MULTI-TRACK:

⭐ GRADES K-4 📊

• FOUNDATIONAL CONCEPTS: Establish intuition and core ways of thinking about and visualizing data

⭐ GRADES 5-8 💻

• TOOLS & TECHNIQUES: Focus on platforms and tools that support data analysis and bring insight

⭐ GRADES 9-12 🚀

• BECOMING A DATA SCIENTIST: Learn what it takes to be a data scientist -- including skills, training and education

⭐ K-12 EDUCATORS 👩🏽‍🏫

• WHO, WHAT, WHEN, WHERE, & WHY: We'll incorporate presentations, panels, and other hands-on sessions that are specific to K-12 educators

REGISTER HERE

2024 SPEAKERS + INSTRUCTORS:

•Gulrez Khan \| Author + Data Science Lead @ Paypal 💸 •Michael Copass \| Science Teacher\, writes research articles about integrating Ai @ Tracy Unified School District 📚 •Prashant Kumar \| DATA SCIENTIST @ Bold 🚀 •Sheri Johnson \| Data Science Educator @ Essential Analysis Solutions 📊 •Kelly Dowd \| Director - Data Science @ AT&T 🌐 •Cole Nussbaumer Knaflic \| CEO @ Storytelling with Data 🗣️ •Nicolas Potkalitsky\, Ph.D. \| Teacher / AI Literacy Coach @ Pragmatic AI Solutions 🤖 •Sachin More \| SR Engineering Manager @ Dollar General 💵 •Ginger Baxter \| Assistant Dean Career Advancement and Student Success @ Chapman University 🎓 •Ugandhar Dasi \| Principal Technology Lead @ T-Mobile US 📱 •Jhonathan David \| President\, Chief Advisor - Data Analytics & Data Science @ Xabios Data 💽 •Krish Suraparaju \| SWE Intern @ Amazon 📦 •Taj Pirzada \| Director – AI @ Nike ✅ •Samuel Setsofia \| Masters Candidate @ Northwestern University 🏛️ •Akash Kura \| Sales Strategy and Data Analytics Intern @ X (Twitter) 💬 •Disha An \| Senior Data Scientist @ Salesloft 💼 •Sanjana Khajuria \| Intern @ Salesforce 📈 •Henry Clavo \| Data Engineer @ Consumer Financial Protection Bureau 🏦 •Alexander Baker \| Senior Data Scientist @ cBEYONData 📊 •Aditya Sharma \| CEO @ HiCounselor 🎓 •Chris Bent \| Founder @ Piccles 🥒 •Corey Wade \| Founder @ Berkeley Coding Academy 💻 •Anthony DiCecco \| Data and Analytics @ Chegg 💡 •Jai Prakash \| Head of Insights & Data Engineering @ Pella Corporation 🪟 •Anshul Jain \| Head of Data Science @ Meta 🌐 •Jessica Larson \| Senior Software Engineer II @ Instacart 🥕

Join us for an open group discussion on technical editing 📝

Led by Michael Dodd (Technical Writer & Editor for GBG Plc), we will discuss and share our collective thoughts on:

• The collaborative nature of editing
• The mental shift required to review rather than produce new content
• The importance of asking for and accepting help

When: Thursday 20 June, from 6:30pm Where: Codat, 7 St Cross St, London EC1N 8UB What: 18.30 - 19.00 Arrival and light refreshments 19.00 - 19.30 Michael Dodd on the merits of technical editing 19.30 - 19.45 Short break 19.45 - 20.30 Open discussion/Activity with the audience 20.30 - 21.00 Closing and networking

How to find us: The main entrance to Codat's office is located in the courtyard of Johnson Gardens, off of St Cross Street.

Map pin \| what3words

Enter through the black metal gates and walk through the yard until you see the doors with the Codat logo, where you will be greeted by a friendly organiser.

Photos: Please note that the organizers may take some photos for the WTD group.

Day 1 Morning Keynote | Data + AI Summit 2022 Welcome & "Destination Lakehouse" | Ali Ghodsi Apache Spark Community Update | Reynold Xin Streaming Lakehouse | Karthik Ramasamy Delta Lake | Michael Armbrust How Adobe migrated to a unified and open data Lakehouse to deliver personalization at unprecedented scale | Dave Weinstein Data Governance and Sharing on Lakehouse |Matei Zaharia Analytics Engineering and the Great Convergence | Tristan Handy Data Warehousing | Shant Hovespian Unlocking the power of data, AI & analytics: Amgen’s journey to the Lakehouse | Kerby Johnson

Get insights on how to launch a successful lakehouse architecture in Rise of the Data Lakehouse by Bill Inmon, the father of the data warehouse. Download the ebook: https://dbricks.co/3ER9Y0K

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