Description
From smart cities to smartwatches, businesses, organizations, and even individuals generate massive amounts of time-stamped data. This leads to a plethora of data that can be useful across the business to generate new and deeper insights when integrated and analyzed.
Due to the interconnected nature of systems today, the ability to analyze data from multiple sources to uncover patterns using time series data is an increasingly important skill for data scientists to include in their toolbox.
This webinar will provide a practical introduction to time series analysis and forecasting, from basic concepts to advanced machine learning techniques. By attending this webinar, you will learn:
- How to solve common data wrangling, feature engineering, model identification, and construction challenges related to working with time series data.
- See example real-world applications across business, economics, and science will be used to demonstrate key concepts.
Whether you're a beginner in data science or an experienced professional, this webinar will provide valuable insights and practical skills to enhance your time series toolset. Register now to secure your spot!
Instructor's Bio
Stuart Kozola
Director of Product Marketing at dotData | experienced Data Scientist | Member of SIAM and IAQF
Stuart has over twenty-five years of experience applying data science and machine learning techniques to real-life applications spanning science, engineering, and business. He began his career as an aerothermal engineer at Pratt & Whitney, where he holds patents as a result of solving thermoacoustic instabilities in a combustion system. In 2006, he joined MathWorks as a Product Marketing Manager, where he managed the product strategy and go-to-market activities for statistics, optimization, econometrics, and quantitative finance products and worked directly with clients to solve pressing problems through applied data science. Since 2022, Stuart has been leading the product marketing function at dotData, an award-winning platform for automated feature engineering.
Webinar
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ON-DEMAND WEBINAR: Introduction to Time Series Analysis and Forecasting
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Ai+ Training
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Webinar recording
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