Last week, I got to host a session with Analytics8: Navigating the Data Landscape in 2023: 5 Key Trends to Watch. A panel of data experts discussed the key trends that companies should pay attention to in order to get more value from their data in 2023. The panel consisted…

Creating Impactful Content: A Discussion with Kate Strachnyi on LinkedIn, Color, and AI In this conversation, the hosts (Joe Reis & Matt Housley) are discussing with Kate Strachnyi, the founder of a company called DATAcated. Kate helps other data analytics and AI/machine learning companies reach their audience on LinkedIn, hosts a community called DATAcated Circle, offers courses on LinkedIn Learning, writes books, and…

If you are not familiar with SQL — Structured Query Language, AND you are curious about learning more — then this article is for YOU! We’re going to make learning SQL as fun and easy as a walk in the park! So grab your thinking cap, and let’s start our…

There are several “rules” of data visualization that are commonly followed in order to create clear and effective visualizations. However, in certain cases, breaking these rules can lead to more engaging and informative visualizations. Here are a few examples: The “rule” of using a single chart type: It’s often recommended…

In a recent YouTube video, host Kate Strachnyi welcomed Vinay Samuel, the founder and CEO of Zetaris, and Kent Graziano, known as the “data Warrior” and the Chief Technical Advisor at Zetaris, to discuss the new modern data stack. Vinay Samuel has been in the field of data management, data…

Are you dreaming of a career in data science but feeling overwhelmed by the path ahead? It’s natural to feel daunted by the prospect of breaking into a new field, especially one as competitive and rapidly-evolving as data science. …

The field of data science is constantly evolving, and as a result, it attracts professionals from a wide range of generations. From baby boomers to generation Z, data scientists come from all walks of life and bring with them a diverse set of experiences, skills, and perspectives. …

It can be challenging to get a data science job as a high school student, as many data science positions require a certain level of education and experience. However, there are still ways that you can start building your skills and knowledge in data science as a high school student…

In many ways, data science is like a box of chocolates — you never know what you’re going to get, and there are so many different flavors to choose from. …