[DataFramed Careers Series #4]: Acing the Dat...

The data field has changed shape faster than almost any other. The role that used to be a statistician became a data scientist, became an ML engineer, and is now morphing into AI engineer. Consulting firms are hiring fewer entry-level analysts and more vibe-coders who can ship AI ...  Afficher plus

Time series data is everywhere — from inventory systems and energy grids to financial planning and product demand. As data volumes grow, the old ways of building individual forecasting models simply don't scale. How do you forecast hundreds of thousands of products without spendi ...  Afficher plus

In this podcast episode, Avery talks with Akshay Swaminathan, co-author of the book 'Winning with Data Science: A Handbook for Business Leaders.

They discuss the vague terms often thrown around in the data science industry and underline the importance of understandi ...

Harshal Sanap talks about how he took himself from a data science student and graduate to a full time professional in data science and shares mistakes to avoid to get started in your career. In this episode you will learn: Harshal at DSGO [8:12] Harshal’s first data science jo ...  Afficher plus

In this episode of the Data Career Podcast, Avery interviews Eric Cuentas, a chemical engineer who turned into a data analyst and career coach.

They discuss obstacles when pursuing career goals and highlight the importance of determining genuine motivations to align wit ...

The 100th celebration episode of the Data Career Podcast features a special panel interview conducted by Avery Smith with prominent data content creators, including Ken Jee, Monica Kay Royal, Richad Nieves-Becker, and ...