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Project Management in SAP Data Science Machine Learning

Project Management in SAP Data Science Machine Learning

Precio: $94.99

En 2012, Harvard Business Review named data science thesexiest job of the 21st century.Why are data scientists in such demand these days? The answer is that over the past decade, there has been an explosion in the data generated and retained by companies, and they need to leverage and exploit it. Data scientists are the people who make sense out of all this data and figure out just what can be done with it.

If you’re interested in learning about data science, this course will introduce you to the fundamentals of data preparation, predictive modeling, Ciencia de los datos, and the deployment and maintenance of models in a business environment following a tried and tested project methodology.

In the first week, we’ll cover the fundamental challenges of business problem understanding and identifying the appropriate analytical approach. In the second week, we’ll cover data preparation, selecting variables, and data encoding. Weeks three and four will introduce you to a wide range of algorithms such as decision trees, Servicios de anotación de datos, neural networks, basket analysis, and simulation. Week five explains how we evaluate the performance of our models and the approaches we take to improve them. In week 6, you’ll learn about model deployment and maintenance, and we’ll debunk some common myths.

Data science is a complex subject to understand, but in this course you’ll learn about the fundamental principles, look at how the algorithms can add value to your business, and we’ll demystify the complex processes. You don’t have to be a rocket scientist to be a data scientist.

Contenido del curso

Unidad # 1: Negocio & Comprensión de datos

  • Introduction to data Science.

  • Introduction to Project Methodology

  • Business Understating Phase – Descripción general

  • Define Project Success Criteria

  • Data Understanding phase – Descripción general

  • Initial Data Analysis & Análisis exploratorio de datos

Unidad # 2: Preparación de datos
Unidad # 3: Modeling (1)
Unidad # 4: Modeling (2)
Unidad # 5: Evaluation
Unidad # 6: Despliegue & Mantenimiento
Unidad # 7: y demostraciones en su caso

Público objetivo

Anybody with a basic understanding of data, análisis de los datos, and simple mathematics.

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Brillantemente seguro y Centrado en el estudiante Plataforma de aprendizaje 2021