Thursday, April 15, 2021
Many believe spreadsheets are the greatest piece of software ever designed. The flexibility and visibility is unmatched. Many data analysts and data scientists rely on them for data cleaning, but they can be integrated into intense data science workflows in many more ways. They also allow non-technical professionals to engage with Python proficient data scientists and eventually become Python proficient themselves. This presentation will explore how Spreadsheets and Python can augment each other to unlock powerful workflows.
Friday, April 16, 2021
Constantly questioning whether the value of the work you do as a data professional really justifies the salary they're paying you? That concern is more than valid, but what if I told you that there is a proven process for making triple sure that your data projects result in business success for your company? In this brief session, you’ll learn how to build an analytics strategy framework from the ground up. If you’re in the conception/kick-off phase of a data project, and are wanting to develop an evergreen strategy for analytics, data management or even machine learning products, this session will show you how to get started doing that right away. This session is for data professionals who want a head-start on creating data strategies; whether that be an AI strategy or just a general data strategy - this session will help you craft a strategic framework so you can start taking measures to ensure that your data projects produce greater business ROI.
What you’ll get:
- A Clear Understanding Of The Value And Necessity For An Evergreen Analytics Strategy Framework: To create an evergreen analytics strategy framework, you first need to understand what it is and how it’s beneficial, so I’ll break that down for you.
- Steps That Go Into Creating Your Own Evergreen Analytics Strategy Framework: You’ll come away with all the steps and ingredients that go into creating an evergreen analytics strategy framework.
- A Proven Data Strategy Framework You Can Use Starting Today: Bypass all the hard work of developing your own framework, and just use mine. I’ll be providing that to you for free in this brief session.
Why Can’t My Data Scientists and the Business Stakeholders Understand Each Other? Bridging the Gap Between the Business and Data ScienceJoin on Crowdcast
Businesses are hungry to transform into data driven organizations. However, despite hiring top data science talent, businesses often encounter challenges implementing data science solutions. This talk will give concrete advice about how executives can structure their organizations to reduce the frustration and failure that often comes with data science projects. Executives and managers will come away with concrete practices they can adopt to make their own data science projects succeed.