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From inventory to website visitors, resource planning to financial data, time-series data is all around us. But how can you know what the future holds? This course empowers you to go beyond “spotting trends” and make data-driven business forecasts.
Data Scientists who know Machine Learning and want to expand their skillset by moving from static data sets to dynamic time-dependent data sets. We invite anyone who is familiar with Python and statistics and wants to become more productive and empowered in analyzing and forecasting using time-series data to join us. To ensure you get the most out of these two days, we recommend you have at least one year of work experience with pandas, scikit-learn, and Matplotlib
You will learn to confidently work with time-series data: cleaning it, removing outliers, and handling missing data. You will also learn how to create forecasts with your data sets and validate your models when using time-series data.
The program consists of eleven blocks. Each block consists of a theory component and a hands-on lab.
This Data Science training is brought to you by our trainingspartner GoDataDriven. GoDataDriven works with experts in their field who are always on the lookout for the most innovative ways to get the most out of data. Your trainer is a data guru who enjoys sharing his or her experiences to help you work with the latest tools.
Your Data Science Learning Journey starts with a Foundation course, such as the Certified Data Science with Python Foundation or the Certified Analytics Translation training. Continue your journey with Advanced Data Science with Python or with the three days of Deep Learning. If you want to proceed to Expert level, register for Data Science with Spark.
After registering for this training, you will receive a confirmation email with practical information. A week before the training we will ask you about any dietary requirements and share literature if there's a need to prepare. See you soon!