What it takes to become a financial data scientist and why financial institutions are recruiting candidates quickly. By Vivian Zhang, founder and CTO of NYC Data Science Academy and adjunct professor ...

What if you could predict a company’s financial future with precision, make data-driven decisions, and impress stakeholders, all using one tool? Excel, often underestimated as a simple spreadsheet ...

This concentration introduces students to the use of financial analytics used by finance practitioners. It provides a strong and rigorous introduction to the use of financial applications in fintech ...

What if you could build a fully functional financial model in minutes, without spending hours wrestling with formulas, cleaning messy data, or manually updating projections? With the introduction of ...

Delivering high-fidelity investment data across th... Financial data aggregation is foundational to modern wealth management. It enables advisors to deliver holistic advice by collecting, normalizing, ...

LONDON and REDMOND, Wash. — Oct. 13, 2025 — LSEG and Microsoft Corp. on Monday announced the next step in their multiyear, strategic partnership: transforming access to LSEG-licensed financial data ...

J.B. Maverick is an active trader, commodity futures broker, and stock market analyst 17+ years of experience, in addition to 10+ years of experience as a finance writer and book editor. Amy Soricelli ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...