Data Robot: A simple tool useful for data analysis and model building operations https://www.datarobot.com/ Mostly.AI: Synthetic data generation https://mostly.ai/ DB Sensei: Generate SQL queries for databases using natural language queries https://dbsensei.com/ Hal9: EDA tool to identify key insights on data https://www.hal9.com/ Columns.ai: Data visualization tool to create useful charts https://columns.ai/ Akkio: Data visualization tool to create data plots like regression plots, box plots, correlation heatmaps, and so on https://www.akkio.com/

Which programming language do you prefer for data analysis, and what features make it your choice? Have you explored any specific libraries or tools that enhance your analysis workflow?

Honestly this browser is incredible, I thought I wouldn't get used to the sidebar but now it's great. You can also use chrome extensions without problem Does anyone use the browser? It would be great if you could share some interesting features.

Hey fellow data scientists! As we all know, a strong foundation in math and statistics is crucial for our work. I've been brushing up on my stats skills and recently started reviewing discrete math concepts. Today, I stumbled upon an excellent YouTube playlist that I think many of you might find valuable. The playlist covers discrete mathematics and is based on three books. I've included the links below: YouTube: link to the playlist Books: Discrete Mathematics and Its Applications Discrete Mathematics with Applications.pdf) Schaum's Outline of Discrete Mathematics I'm excited to dive deeper into these topics and thought I'd share this resource with the community. If you've already explored these books or have any favorite resources for discrete math, please share your thoughts and recommendations! Let's continue to learn and grow together! Happy learning everyone!

https://groq.com/