@techspence The chicken-or-egg thing with IT/security and risk-aversion is so real. Probably a bit of both, but either way "plan for the worst" is just good practice at that point, not paranoia.
@aecyydesign Honestly at some point it stops being bad luck and starts being a pattern worth breaking down rollout missteps, branding confusion, all of it.
@DatJot Fair point and honestly this is underrated advice for anyone chasing gov/cyber roles. A $400 cert unlocking a door a $60k degree can't is wild but true
@DataEvangelistx So true 💯 Execs don't want the 'how,' they want the 'so what.' Fewer charts, more decisions. The senior the audience, the more you're selling a conclusion, not a dashboard.
@Taiwo_Sunmonu_@The_healfica@kiki_blacc Love this breakdown 👏 Patient flow analysis is so underrated tracking delays + outcomes together is exactly what turns raw hospital data into something leadership can actually act on. Curious what tool you used to visualize the flow (Power BI/Tableau)?
@DanielSimilolu1 Solid breakdown of the data analytics lifecycle! 👏 A lot of people jump straight to 'Analyze,' but honestly the 'Prepare' and 'Process' stages are where most of the real work happens clean data makes or breaks your insights.
@feresasw@Mbadiwejesse Start with basic statistics (mean, median, correlation) and one tool like Excel or Power BI, then build up. You can always learn more math later if you move into advanced analytics.
@feresasw@Mbadiwejesse Yes, definitely. Most practical data analytics work relies more on basic stats, and tool skills (Excel, SQL, Power BI) than heavy math like calculus. As a management student, you already have an edge understanding business context matters more than solving equations.
@Tech_p001 HTML is a markup language, not a programming language it describes the structure of content (headings, paragraphs, links) but has no logic like loops or conditionals. It's typically paired with a real programming language like JavaScript to add interactivity.