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Data Science Events Near You

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Data & Analytics Wednesday - Google Analytics Alternatives
Data & Analytics Wednesday - Google Analytics Alternatives
**Google Analytics Alternatives** Is it finally time to make the switch away from Google Analytics? Two-and-a-half years ago Jason Packer asked this question at Columbus Web Analytics Wednesday. Since then: Google’s Universal Analytics has been sunset, we’ve changed our name to Columbus Data & Analytics Wednesday, and Jason has released two editions of his book “Google Analytics Alternatives”. Fresh off the release of the 2nd edition of his book, we thought it was time to re-open this conversation. While people love to complain about it, GA’s market share has remained relatively constant (at least in the United States). Why is that? You won’t find any complaints about GA4 in this talk, but rather an overview of what’s currently available in the market and how to frame your decision-making process. We’ll also be giving out some free copies of Jason’s book! So even if you’ve got a “GA4Lyfe” tattoo (no judgement), there’s free books to go with the free pizza and beer. Thanks to our 2026 sponsors: [Clarivoy](https://www.clarivoy.com), [What Box Consulting Group](https://www.whatboxconsultinggroup.com), [Conductrics](https://www.conductrics.com), and [Piwik PRO](https://piwik.pro) More info at [cbusdaw.com](https://cbusdaw.com)
CBusData - Discover the Power of Window Functions
CBusData - Discover the Power of Window Functions
Window functions have nothing to do with the Windows operating system but provide a “window” to a result set when used in SQL queries. They are powerful, set-based methods to view data in unexpected ways. Window functions provide easy, set-based solutions to solve some common problems: * Using running totals * Performing operations in intervals * Identifying data gaps and islands * Performing aggregates without losing detail Many people are confused by window functions and do not know how to use them properly. This session will explore window functions, how they work, and how to use them. Demonstrations with several examples will solidify how window functions can simplify queries and make them more powerful.
Data Cleansing using Data Bricks
Data Cleansing using Data Bricks
The March Ohio North Database Training user group meeting will be held on **March 3rd, 2026 at 5:00PM**. This will be a **HYBRID** event and we will be joined in person by **Sam Nasr**. You're welcome to come meet in-person at our meeting location, the offices of Improving at **[6000 Freedom Square Dr,](https://www.google.com/maps/place/Improving/@41.4004167,-81.6614462,17z/data=!3m2!4b1!5s0x8830e5b8255c5919:0xd8297060eb68fe04!4m6!3m5!1s0x8830dc7a0fe35dc9:0xbfc4710ecadfc5c!8m2!3d41.4004127!4d-81.6588713!16s%2Fg%2F1hm3hkqp3?entry=ttu&g_ep=EgoyMDI1MDQzMC4xIKXMDSoASAFQAw%3D%3D)** **[Unit 110,](https://www.google.com/maps/place/Improving/@41.4004167,-81.6614462,17z/data=!3m2!4b1!5s0x8830e5b8255c5919:0xd8297060eb68fe04!4m6!3m5!1s0x8830dc7a0fe35dc9:0xbfc4710ecadfc5c!8m2!3d41.4004127!4d-81.6588713!16s%2Fg%2F1hm3hkqp3?entry=ttu&g_ep=EgoyMDI1MDQzMC4xIKXMDSoASAFQAw%3D%3D)** **[Independence, OH 44131](https://www.google.com/maps/place/Improving/@41.4004167,-81.6614462,17z/data=!3m2!4b1!5s0x8830e5b8255c5919:0xd8297060eb68fe04!4m6!3m5!1s0x8830dc7a0fe35dc9:0xbfc4710ecadfc5c!8m2!3d41.4004127!4d-81.6588713!16s%2Fg%2F1hm3hkqp3?entry=ttu&g_ep=EgoyMDI1MDQzMC4xIKXMDSoASAFQAw%3D%3D)** [Teams Link ](https://teams.microsoft.com/l/meetup-join/19%3ameeting_YTg3MTY3NzItODI3OS00MTRjLTgzYTItYTBlMjY5NTQ5MzU4%40thread.v2/0?context=%7b%22Tid%22%3a%22b966f302-6b93-4686-9041-c084635642c5%22%2c%22Oid%22%3a%2278c760cb-657f-46aa-bd2f-7066d9403bdb%22%7d)if anyone needs it after RSVP-ing for in person. If you would like to subscribe to our email list outside of Meetup, we have changed platforms recently and you will need to register [here in Kit ](https://ohio-north-data-training.kit.com/b8f036f615)instead to receive emails. Agenda: **5:00 PM EST**: Online and in-person meeting begins with a social hour. This is an unstructured hour where you can join us to catch up and meet other group members before the session starts. There will be food brought in for in-person attendees. **6:00 PM EST**: Updates and announcements, followed by our feature presentation. See below for presentation details. **7:30 PM EST**: Optionally after the main presentations, the in-person crowd may go out for snacks and drinks at a local establishment. We hope to see you there! Session Abstract ### **Data Cleansing using Data Bricks** Machine Learning is highly dependent on adequate data. Not only does quantity matter, but more importantly quality. In this session we’ll cover how to build a custom automated process using Data Bricks. This will provide methods for cleaning data in a data lake using functions in Azure. \*Please note, that we will be using Microsoft Teams for the online portion of this meeting. You may want to join a few minutes early to ensure you do not have any issues. If you are attending in person, there are large TVs at the office, and you do not need to bring a laptop or use Teams.
Industry Tech Talk + Q&A
Industry Tech Talk + Q&A
Excited to share that AWS Cloud Club's first meeting will take place on Thursday, February 26th at 5pm - 6pm! We’re collaborating with [Big Data & Analytics Association](https://www.linkedin.com/company/big-data-analytics-association/) to host [Alok Jha](https://www.linkedin.com/in/alok-jha-42abb928/), Head of Product Management for AWS Intelligent Application Protection at Amazon Web Services, for a tech talk + Q&A on his journey in leading cutting-edge innovation in industry. If you’re interested in cloud, cybersecurity, AI, or product management, this is a session you won’t want to miss. Make sure to join our Meetup and GroupMe to stay up to date for future events and collabs!
Effective Data Visualization
Effective Data Visualization
Dear ACM Chicago Chapter members, On March 4, we are hosting a hybrid event at AON Center (200 E. Randolph, suite 200). Please note that this venue requires the attendee list to be submitted 48 hours before the event starts, so the RSVP will close then. Please remember to bring your government-issued ID to present to building security. You can also join virtually using the Zoom link below: [https://acm-org.zoom.us/webinar/register/WN_Ky5PEBMTSaiGQ6Q42-qrNA](https://acm-org.zoom.us/webinar/register/WN_Ky5PEBMTSaiGQ6Q42-qrNA) **Talk Title:** Effective Data Visualization **Speaker:** David Giard, Partner Solution Architect at Microsoft, **Tald Abstract:** We spend much of our time collecting and analyzing data. That data is only useful if it can be displayed in a meaningful, understandable way. Yale professor Edward Tufte presented many ideas on how to effectively present data to an audience or end user. In this session, I will explain some of Tufte's most important guidelines about data visualization and how you can apply those guidelines to your own data. You will learn what to include, what to remove, and what to avoid in your charts, graphs, maps and other images that represent data. **Agenda (Central Time):** * 5:30 – 6:00 PM — Networking * 6:00 – 6:05 PM — Introductions * 6:05 – 6:45 PM — Talk * 6:45 – 6:55 PM — Q&A * 6:55 – 7:00 PM — Adjournment * 7:00 – 7:30 PM — Networking Refreshments will be provided. Hope to see you there!
DoJo (Informal Python Meeting)
DoJo (Informal Python Meeting)
**New Dojo Location!** **Draft Day Columbus** 1130 Dublin Road Columbus, OH 43215 We're going to try a new dojo location for a few weeks and see how it works Dojos are informal Python group study sessions where everyone interested in Python gathers to learn about Python, help others with Python, or just hang out. Everyone is welcome from Python beginners to experts. Bringing a laptop is encouraged (we'll have extension cords and power strips). If there's something you want to learn leave a comment on this invite so we can plan ahead. We're looking for topic suggestions and people interested in presenting at our monthly meetings. To this end we've set up a survey form at [https://docs.google.com/forms/d/15eBKF1nQQ2XS5gzD4rvhVRHMBEj7lJtHuA9wXupS3Uc](https://docs.google.com/forms/d/15eBKF1nQQ2XS5gzD4rvhVRHMBEj7lJtHuA9wXupS3Uc)
Building Agents with Microsoft Foundry
Building Agents with Microsoft Foundry
We will show a variety of methods for building agents that run in Microsoft Foundry. This covers the different types of agents: Prompt, Multi, and Hosted, as well as the development lifecycle using evals and traces.