How to Break into Business Intelligence & Data Analytics
summary
Concrete steps and outcomes: learn Excel, SQL, Python and Tableau, build an S3 → Redshift → Tableau pipeline and use Git/GitHub and Airflow for automation; implement a photo-count dashboard at Nike by truncating timestamps and counting unique photo IDs, deploy it as a Tableau report that replaces manual 5‑hour weekly Excel work; produce 10+ projects and publish a Tableau dashboard on public link as proof of skill; result: 9 job offers and a quadrupled salary after bootcamp and focused portfolio.
AI-written summary · about
chapters (8)
- 0:00Intro
- 2:34What is Business Intelligence
- 5:52Why do companies need BI
- 7:28BI Tech Stack
- 8:40Business Analysts
- 12:01How to land your first BI role
- 17:25How to write a good resume
- 21:18How to network
related talks
42mHow to become a Business Intelligence Analyst
29mExploring Tech Career in Data Analytics and Science
14mTake a self-taught journey into the world of Data
07mWhere to start your Data Analytics Journey
23mHow to Build a Data-Intelligence Startup within your Organization
24mBreaking into Data Engineering
25mYou’ve Got To Pivot Your Career, Just Like Your Products: How I Got Into Data
32mHow to Start a Career in Data Science: Tips & Experiences
