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**R User Group Nepal** and **Kathmandu University Biotechnology Creatives** invite students to a multi-day, hands-on hybrid workshop. 🎯 **Objectives:** A practical, beginner-friendly introduction to R programming designed for students in Biotechnology, Bioinformatics, Public Health, and related fields. Over four days, you will go from zero experience to writing R code, producing visualizations, and making your first open-source R contribution (R Translation). **Register Now:** [https://bit.ly/r4kubic](https://bit.ly/r4kubic) ***Note: Only students from KU will be invited for join the session.*** 📅 **Event Details** **Dates:** April 9–12, 2026 **Venue:** Kathmandu University **Time:** Thursday/ Friday ( 8:00 PM – 10:00 PM) - Online session Saturday/Sunday (9:00 AM – 4:00 PM) - In-person session **Mode:** Hybrid, hands-on workshop **Target Participants:** Students from Biotechnology, Bioinformatics and related fields of Kathmandu University only **Registration Deadline:** April 8th, 2026 👨‍🏫 **Instructor** **Binod Jung Bogati** is a technical consultant in Pune, India, with expertise in R and SAS for clinical and statistical programming. As the organizer of the R User Group Nepal, he actively promotes the use of open-source tools for data science and biostatistics in his home country.

Pay attention! We’re delaying a week for those of you who may be on Spring break and/or celebrating the holiday. Ok, no pancakes, but waffles-a-plenty. Join the local UX and Digital Design community for a casual monthly breakfast. Look for us upstairs!

Join us for pizza and conversation at Vick’s Gourmet Pizza! 🍕 Good slices, good stories, and plenty of laughs around the table. Come hungry, bring your best conversation, and let’s enjoy a relaxed evening with great company. Extra cheese and extra chatter encouraged! 😄

Join us for lunch at Cooper’s Hawk in Easton. If the weather is nice, we’ll enjoy lunch on their gorgeous patio!

Dinner and dancing

The Fellowship of the Star Schema: Transforming OLTP Data for Power BI One does not simply build reports on OLTP data. Join us on an epic journey from the depths of raw, normalized tables to the shining halls of a well-modeled star schema fit for Power BI greatness. We will demystify the differences between OLTP and OLAP, walk through star schema vs snowflake (and why Power BI has a clear favorite), and show you the compression differences between normalized and columnar storage that will make you never look at an OLTP model the same way again. We will cover the different types of dimensions, when to use them, and how to handle Slowly Changing Dimensions without losing your mind. You will leave knowing exactly how to identify a bad model, how to convert OLTP data into a clean star schema, and how to forge relationships that rule them all. Whether you are a data wizard, a curious hobbit, or somewhere in between, your models will never be the same.