[Webinar] How to Land a Data Job in 3-6 Months – Guaranteed! (Part 4)
Join Eric Liu, CEO of WeCareer, in a lively discussion focused on Job Application and Analysis: Job Description ≠ Job: A job description is not
Join Eric Liu, CEO of WeCareer, in a lively discussion focused on Job Application and Analysis: Job Description ≠ Job: A job description is not
Q: Tell me about a time you failed or made a mistake and how you handled it. A: Couple of years ago, we implemented an
Q: I did online (e.g. Udemy, Coursera) courses. I did open (e.g. Kaggle) data projects. I put them on my resume and applied for 50
Q: What do you know about our company and this position? A: RioCan is the second largest real estate investment trust in Canada. You are retail-focused
Q: Walk me through a project? What was your contribution? What was the outcome? A: I did a real project for MealZoom, a food delivery service with
DA collects, cleans, analyzes data from a domain and highlights trends and patterns. DS uses DA’s dataset to train a model that captures the domain’s
Understand data first before you do anything with it. How is data structured? What’s each column? What values it has? You collect data. Clean it.
You see a huge difference in success vs a tiny difference in performance. Here’s a photo finish of a 100-meter race, everyone remembers Usain Bolt,
“If people ask me the same question three times, I should write the answer down.” In programming language, a routine is a piece of code
Finding a job is a hard journey, but it doesn’t have to be a lonely fight. Sign up for career services at WeCareer.