1. Programming and Data Manipulation - Python: Learn libraries like Pandas, NumPy, and Scikit-learn for data manipulation and modeling. - R: Explore statistical analysis and visualization packages like ggplot2 and caret. - SQL: Master querying, managing, and manipulating structured data in relat

If you're new here...hi! I'm a data scientist at a tech company & I regularly share tips about how to learn Data Science skills and what it's like being a Data Scientist. Here are 2 skills you will definitely need if you're considering applying for Data Science roles: 1) S

✨ Mariah the Scientist’s music is a journey through raw emotions, relatable experiences, and unforgettable melodies. Here are my top tracks that I keep on repeat, each one telling a unique story. 🎶 1. “ Only Human” Why I Love It: This track dives deep into vulnerability and the complexities o

My days are pretty chill (for now) since I’m only working on one project! I tidy my desk around ten minutes before work and prep breakfast and coffee. Then, at 9 am, I check my email, Slack, and notes from the previous day to remind myself what to keep working on. Depending on how much I need

This job market has been rough… here’s how I’ve been staying afloat. Feel free to comment any questions 🥰 #workingfromthometips #sidehustles #jobhunting

Still confused about the difference between a data analyst, a data engineer and a data scientist? Heres another way to look at it, each role plays a unique part in the data world: 🔹 Data Analyst: Turns data into insights to help decision-making. 🔹 Data Scientist: Predicts future trends with ad

As a Data Scientist, I'm working at my desk for 8 or more hours per day! That's why having the perfect keyboard is so important for my desk setup. Here's a list of keyboards I've tried and what I like/dislike about each of them. Portable keyboards I use when working remotely: 1)