- 12 Tips: From Data Analyst to Startup Co-Founder - Dec 14, 2021.
Thinking about taking your data science expertise to a new level of creating a start-up company? These tips -- learned from experience -- can help you forge an early path toward success.
Business, Career, Data Science, Startup
- How to pitch to VCs, explained: The Deck We Used to Raise Capital For Our Open-Source ELT Platform - May 21, 2021.
Winning seed funding from venture capitalists is a daunting task, and the pitch is key. Learn how one effective slide deck resulted in a successful early funding round for an open-source start-up, Airbyte.
Data Preparation, ELT, ETL, Startup, VC
- Six Ways For Data Scientists to Succeed at a Startup - May 29, 2020.
Here are six tips that will help data scientists and other data professionals succeed if they have the opportunity to work at a startup.
Career Advice, Data Scientist, Startup, Success
- Crafting an Elevator Pitch for your Data Science Startup - Aug 19, 2019.
If you are launching a data science startup, these tips will give you a head start as you seek capital for seed funding or your next level of growth.
Data Science, Startup, Startups, VC
- SQL Case Study: Helping a Startup CEO Manage His Data - Sep 19, 2018.
In this tutorial, you will learn how to create a table, insert values into it, use and understand some data types, use SELECT statements, UPDATE records, use some aggregate functions, and more.
Pages: 1 2
SQL, Startup
- How to Fail with Artificial Intelligence: 9 creative ways to make your AI startup fail - May 4, 2017.
This post summarizes nine creative ways to condemn almost any AI startup to bankruptcy. I focus on data science and machine learning startups, but the lessons on what to avoid can easily be applied to other industries.
AI, Artificial Intelligence, Failure, Startup
- Where are the Opportunities for Machine Learning Startups? - Jun 8, 2016.
Machine learning has permeated data-driven businesses, which means almost all businesses. Here are a few areas where it’s possible that big corporations haven’t already eaten everybody’s lunch.
Machine Learning, Startup
