Jeremy Adamson’s Post

The study of data science would allow us to analyze global socioeconomic and ecological factors, and through coding, build models that help us prevent the next crises, wars and famines, to change the course of human history. 😌🕊️😊 Me studying data science:🤓🤣

Done with Module 1 in this amazing Data Science Specialization course by ZAKA | زكا! 📘 Excited to uncover and perfect the upcoming Modules along the way to complete this Specialization 👏

🧑💻 The demand for workers with rigorous data science training is on the rise. USC Dornsife’s new Master’s Program in Mathematical Data Science gives graduates a deep understanding of how to build and manipulate the algorithms organizations use to drive their daily decision-making.   ➡️ Join our online event on November 21st to learn more: https://bit.ly/3OfHhz6 ➡️ Check out the program details and apply by Feb. 15th: https://bit.ly/4eE2zku #mathematics #datascience

🚀 Exploring Mathematics for Data Science 🚀 Diving into data science requires a strong mathematical foundation, and one of the essential areas to understand is Scalars and Vectors. Here’s a quick breakdown of how these fundamental concepts apply to data science and machine learning!

 I am excited to share that I recently participated in the Edorer Master Class on "How to Kick Start Your Career in Data Science"! This insightful session provided me with valuable knowledge and practical tips on navigating the dynamic field of data science. The master class covered essential topics such as data analysis, machine learning, and career strategies, which have significantly boosted my confidence and preparedness for a successful career in data science.

🌟 Clarity in Algorithm Design 🌟 I just came across this amazing and hilarious demonstration from Professor Bradley Voytek at the Halıcıoğlu Data Science Institute, UC San Diego that brilliantly shows how critical clarity and context are in algorithms, especially those that affect humans. The result is both hilarious and insightful! This demo drives home the importance of being precise when designing algorithms, especially those affecting people. The underlying lesson about algorithmic decision-making and the need for clarity is spot-on. Moral of the story: Be crystal clear when designing instructions, whether for humans or computers! #datascience #algorithms #teaching #education #clarity #BradleyVoytek #DataScienceUCSD #problemSolving

In a thoughtful career-focused deep dive, Sara Nóbrega shares her personal journey and offers practical tips and advice for making a successful transition from physics to data science.

Looking for a resource to help your students navigate our data-driven world? The Dana Center’s Data Science Course Framework combines mathematical, quantitative, and computational methods to prepare students for both higher education and the workforce. Dive into the framework here: https://lnkd.in/gvtStD2X

Back by popular demand! I have been blow away by all of the messages, kind words, and overall impact that my first video reviewing the UC Berkeley School of Information Master's of Information in Data Science (MIDS) program has had with my network. For that very reason, I wanted to bring in alumni and my program-long friends, Sunny Shin and Julian Rippert, to shed some light on our career paths, how to make friends virtually, favorite and least favorite classes, and more. Let us know any questions, feedback, etc! Hope you enjoy 😊 #berkeley #datascience #career #ischool

Check out my new article on the importance of mathematics to a data scientist and the exact maths you will need to kickass in Data Science as a beginner