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When it comes to landing a data job, you need advice from experts. Listen to someone who either - 1) Actually hires people, or 2) Speaks with data recruiters and hiring managers. Here's who I trust to give solid career advice: Data Science - ➡️ Andrew Jones of Data Science Infinity ➡️ 🔥 Matt Dancho 🔥 ➡️ Carly Taylor, M.Sc. Data Analytics - ➡️ Avery Smith of Data Career Jumpstart ➡️ Joe Squire ➡️ Alex Freberg Data Engineering - ➡️ Zach Wilson ➡️ Benjamin Rogojan the Seattle Data Guy ➡️ Xinran Waibel Who do you get career advice from? #dataanalytics #datascience #dataengineering Are there others? YES! But these are people I trust and wholeheartedly endorse 👍

#HealthTech It always helps to demystify complicated topics like AI, LLMs, RAG, and machine learning by starting with the basics. Thank you to these highly talented, highly skilled individuals who are critical to the future of our healthcare.

Meet the Financial Planning and Analysis Team! 👏 Hear from Gene Fogh, the Central Team Leader, about how this team gets to support the mission of Life.Church: "We have a world-class data team which our leaders leverage to lean forward and make informed decisions. Our data analysts leverage tools ranging from Tableau and data visualizations to mathematical programming and machine learning models to enable decision-makers around church." Have you ever wondered if you can use your data skill-set in ministry? The answer is: you can! We are hiring for a Data Analyst to support this mission. Is God calling you to ministry? Check out the link below to learn more. ⬇ https://lnkd.in/gGC6k-NB Gene Fogh, Jamison Shaffer, Shawn LaFever

Hey, Data Analysts! Do you know the difference between data roles? I've got you! Here are the data pros I recommend you follow to learn more about each position: ➡️ Data Analyst - Chris French, Kelly Adams, Thais Cooke ➡️ Data Scientist - Michael Green, 🔥 Matt Dancho 🔥, Andrew Jones ➡️ Data Engineer - Benjamin Rogojan, Joe Reis 🤓, Andreas Welsch ➡️ Analytics Engineer - Madison Schott, Mark Chappell, Christian ➡️ ML Engineer - Chip Huyen, Andriy Burkov, Andy McMahon ➡️ Decision Scientist - Nisar Ahmed, Cassie Kozyrkov, Joe Dery Which position interests you the most? #dataanalytics #datascience #dataengineering

Should You Become A Data Scientist, Data Analyst Or Data Engineer? In this article, Egor Howell explains the differences and requirements between the various data roles

Malaysia’s big data analytics (BDA) market is thriving, driven by robust demand, strategic investments, and a dynamic digital landscape. 📊 Companies investing in BDA are expanding their presence, choosing Malaysia as a strategic base for regional and global operations. 💻 If you are keen to be involved in this space, take a look at the roles below! Yunitha Krishan Kit Theng Joshua Li Ann

Are you ready to take your data teams to the next level with predictive analytics? 🧗‎ Dive into this comprehensive, hands-on guide that takes you through the process of adopting predictive analytics in your business, including: - The pros and cons of hiring data scientists - How to evaluate your data and determine if it's ready for predictive analytics - Essential questions to ask internal stakeholders and vendors to ensure alignment Check it out here: https://lnkd.in/gMHr_scG

There are three key considerations when hiring your first data scientist (one of them might make you reevaluate the decision!). I explain below 👇 ‎

Bringing data science capabilities to your organization is an important (and significant) investment. Zohar Bronfman offers tips for making the right decisions.