

For many beginners in the data analytics field, the first analytics project can be challenging, because there seems to be an ocean of information from various scattered sources, all sounding important. Although there is no end to learning, there is a generalized template that everyone could...
For many beginners in the data analytics field, the first analytics project can be challenging, because there seems to be an ocean of information from various scattered sources, all sounding important. Although there is no end to learning, there is a generalized template that everyone could use to get started (and ship!) It is all about walking through the entire process. Hopefully, you can walk away from this session with a better understanding of what you need to focus on to deliver a satisfactory first project.
I will cover the following steps:
Hi! I'm Lizhi, and I currently work in product analytics at Variant Labs, a silicon-based start-up specializing in gaming technology. I use data to understand player behaviors and tell stories. I also work on multiple different projects, from application development to machine learning models in order to enhance the entire gaming platform ecosystem. I enjoy working in an agile / lean team - and hope to see more women! Here, I am excited to share my two-cents on what it takes to work at a rapid growing start-up.
1. Could you please tell me, what kind of academic preparation needed to become Data Analyst? If it is High School, associate degree, Bachelor's Degree, Master's Degree, or other? 2. If online...
What are the ingredients in a report that can capture its intention ?
As a job seeker, are there specific types of projects in a portfolio that gain more interest from a potential employer?
Can you recommend a place to find mentors?
What are the biggest challenges in the gaming field for a Data Analyst/Scientist?
How to ensure all the requirements are met?
Any tips for getting into data analytics with an engineering (mechanical) background?
any courses to take you recommend?
What is the criteria for trusted data sources?
How do you begin to build a data model for data you are in familiar with?
Tips for distilling complex ideas into easy-to-understand insights
If you are a project manager who worked with a lot of data, how do you move into analytics?
Is there a specific question you have for the speaker? Let us know!