Topic:
Data science and machine learning approaches for
e-commerce
Topic Description:
Data science – Companies are getting more comfortable with utilising large amounts of data.
This opens opportunities to apply more sophisticated methods for even greater value.
The presentation will look at the various data science methods and algorithms companies can use to improve their processes at various stages of the customer lifecycle.
The primary focus will be on e-commerce use cases, but a lot of these techniques can be equally well applied in other verticals.
Who is Balazs Vajna?
Balazs has more than 15 years’ worth of experience in analytics, data science and machine learning engineering, having spent most of his time in the consulting sector.
He previously worked in large firms such as Oracle and Accenture as well as boutique consulting companies before joining MarketingLens to build our data analytics department.
Balazs now architects digital-focused data and analytics solutions, and currently oversees all our marketing analytics, machine learning, tracking & measurement and attribution projects.
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"Google Sheets and BigQuery"
Topic Description:
You'll get a look at how the Query function in Google Sheets is similar to SQL syntax and can help you learn BigQuery.
Plus, a side-by-side comparison of actions with the Query function and BigQuery equivalents.
Ben will also use Connected Sheets to bring data from BigQuery into Sheets.
Who is Ben Collins?
Ben helps individuals and businesses better understand their data and work more efficiently with Google Workspace tools.
Over 50,000 professionals from 1,000+ companies have enrolled in his training courses, including employees from PwC, Netflix, Verizon, Google, Capital One, and other Fortune 500 companies.
Google recognized Ben as a Google Developer Expert for Google Workspace Technology in 2019, one of only a handful worldwide.
Ben works primarily with Google Sheets and Apps Script and has extensive experience with Google Data Studio, Microsoft Excel, SQL, and Tableau. He previously taught data courses and workshops for General Assembly in Washington, D.C.