Joana Wang
Data Engineer
Joana is a data aficionado with a passion for education. Her ambition is to help people demystify the world of data and make analytics second nature while having fun.
Having worked both in strategy consulting and industry, she's had projects across retail & wholesale, supply chain and financial services. In her last 8 years of experience, she's spent most of her time doing financial modelling, building bespoke data analytics products and wrangling data - a lot of it! This has required her to not only be able to technically develop solutions but also understand the wider business context and relate to people's needs, which she tries to embed in her teaching style.
She currently works as a Data Engineer in a fintech startup helping people lead better financial lives. When she's not knee deep in queries she is most likely on top of a mountain, on a yoga mat or flying a drone.
Upcoming:
SQL Bootcamp
This bootcamp will take absolute beginners through the basics of SQL to an ability to write queries with confidence.
Data Analytics
This 10-week course will teach you how to use large datasets to make critical decisions.
Previously (24):
Data Analytics
This 10-week course will teach you how to use large datasets to make critical decisions.
7 Times
Intro to Data Analytics
In this hands-on introductory workshop, you’ll learn to ask the right questions of your data, while learning basic analytic functionality in Google Sheets.
7 Times
SQL Bootcamp
This bootcamp will take absolute beginners through the basics of SQL to an ability to write queries with confidence.
2 Times
SQL Bootcamp Series
This two-part series will take absolute beginners through the basics of SQL to an ability to write queries with confidence.
2 Times
Design Your Data: Tableau Bootcamp Series
This is an intensive two-part series that will prepare students to learn basic Tableau functionalities to create captivating data visualizations and analyze large sets of data.
2 Times
Data Science
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.