Google recently released an "Interview Warmup" tool, to help candidates who are applying to Data Analytics jobs at Google better prep for their technical interview.
Here's 15 Data Analytics Questions Google expects you to know:
(how many can you answer??)
1. Not all data or inputs for analysis arrive in perfect condition.
Explain some of the errors or problems you might look for as part of the data cleaning process.
2. Some large companies store data in data centers in multiple countries.
Why does it matter which countries your data is stored in?
Data Science is broad & confusing with so so much to explore. Here's an amazing map to guide your journey 🧵👇
Start by sailing around the Sea of 𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀, while also learning how to extract value and connect it to the business side. Then only drift towards the Bay of Computer Science and the choppy seas of MLOps!
For the uninitiated seafarer, only venture into deeper and stormier waters when you've mastered calmer and shallower ones🌊 𝗧𝗵𝗲𝗿𝗲 𝗯𝗲 𝗱𝗿𝗮𝗴𝗼𝗻𝘀 and rough waters around Deep Learning Point — dangerous for beginners, despite how accessible and alluring it seems!
Here's 5 super ✨unique✨ Statistics resources you probably haven't seen before:
#1- Seeing Theory: this interactive visual introduction to statistics helps you understand concepts like frequentist inference, bayesian inference, and regression analysis in such a clever way
#2 - SchemaVerse: this space-based strategy game is implemented entirely within a Postgres DB — you compete against other players using raw SQL commands to command your fleet!