Self-Service Data Prep Workshop

 
Explore the power of Alteryx for yourself
20th November 2018, Singapore
Join us on Tuesday, November 20th, in Singapore, as we guide you through self-service data management and analytics with this hands-on workshop. Connect to data, blend and prep using Alteryx.
Why Alteryx?

Alteryx has been named a leader in the Gartner Magic Quadrant for Data Science and Machine Learning.  

Alteryx helps companies dealing with Big Data challenges, especially in areas of data definition and selection, data preparation and blending, model selection, and data and model sharing. It is also specially useful for IT Teams and Business Analysts who are required to prepare data for their downstream BI Applications like Qlik, Tableau, MS Power BI, etc., and need to judiciously share Data Models for further analysis and Enterprise Reporting.

What will you learn?

- Connect applications to and cleanse data from spreadsheets, data warehouses, cloud applications, and more.
- Join data from multiple sources, and repeat the process on demand using new data.
- Perform predictive, statistical, and spatial analytics using an intuitive user interface, without writing code.

Who should attend?
Data Analysts, Data Scientists, Analytic Leaders, BI Directors, IT and Data Management, C Level Executives.
20th November 2018 | 9:00 - 12:00 | VENUE, Singapore

Register Today. It's free!

Please note - space is limited in the workshop and a laptop will be required to participate. Register early to secure your seat.
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Agenda

09:00 Check-in/Registration: Coffee and Snacks provided
09:30 Keynote: Empowering the Data Analyst
See how analytics has evolved from brittle spreadsheets and complex coding to a more efficient way to prepare and blend data
09:45 Demo: Applying Self-Service Analytics
Get an overview of how Alteryx works, and discover how data analysts can deliver deeper insights in hours, not weeks
10:00 Workshop: Self-Service Analytics
Create your first workflow to prep, blend and analyse data during this hands-on workshop
11:30 Q&A
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