Machine Learning for Business Analysts and Marketing Professionals Training in St. Louis
Enroll in or hire us to teach our Machine Learning for Business Analysts and Marketing Professionals class in St. Louis, Missouri by calling us @303.377.6176. Like all HSG
classes, Machine Learning for Business Analysts and Marketing Professionals may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it
is scheduled: Public Training Classes
Provided there are enough attendees, Machine Learning for Business Analysts and Marketing Professionals may be taught at one of our local training facilities.
We offer private customized training for groups of 3 or more attendees.
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Course Description |
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Attendees should have some experience working with development software
professionals and managers having developed products that diagnose
problems in the business as well as provide predictive feedback on where
the business is heading. Critical thinking skills and experience in
mining and extracting of data are a plus.
Course Length: 1 Days
Course Tuition: $490 (US) |
Prerequisites |
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Get a crash course in machine learning. Understand what it is, how it works, and how people are using it. Machine learning is the engine that drives much of the data analysis happening today. This one-day course is for business analysts, product and project managers, and marketing professionals that work across various teams and functions (Engineering, Product, Finance, and Legal) to execute initiatives and tasks. If you are responsible for analyzing large data sets, uncovering business insights, driving revenue, managing various operational processes and code software, this course will help you identify and document relevant business objectives as well as: Gain insight of the importance of machine learning. Understand the solutionâ??s teamâ??s infrastructure of algorithms, automation, and data mining throughout the entire project life cycle. Prioritize technology trends and its application in the business domain and/or Supply chain function |
Course Outline |
1. What is Machine Learning 2. What Machine Learning is not 3. What Can be Accomplished 4. What is data mining and are you forgetting something 5. Machine Learning Tools 6. Collaborating with the Development Teams |
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