Technical project managers are likely to encounter more and more data science projects as organizations shift toward data-driven decision-making to add value to their bottom lines. Today’s project managers already know that no two projects are the same — but what makes data projects unique? More importantly, how can project managers find success in the realm of data projects?
In this webinar, you will learn the following:
- What makes managing data science projects unique from managing other types of projects
- Which project management principles are consistent across projects, data-driven or otherwise
- Which project management methods are most useful for data projects
- What you can do to ensure a successful data project
22nd February | 5 PM - 6 PM CET (1600 - 1700 UTC)
[Webinar ID# 5312]
Earn 1 CEU. Credits are self-reported to the industry certifying bodies. Check their respective websites for details/qualifications.
Complete and submit the form below to register for the webinar.
Hassan has been a Learning Tree Data Science & Analytics instructor for over 7 years. He is a fintech professional and currently an independent consultant applying his expertise in data science, quantitative finance, and economics to help clients build, test and deploy data-intensive econometric models. Before his current role, he co-founded and acted as the Principal Strategist at a “long volatility” hedge fund called DGamma Capital, which aimed to protect investors against economic shocks and significant market downturns. In addition, Hassan is a veteran of various Boston area start-ups, including Cloud FastPath (acquired by Box), and a faculty member at Brandeis University Fintech graduate programme.