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CertNexus

ETBIZ (Exam ETZ-210)

Bill Rosenthal

Instructeur : Bill Rosenthal

Inclus avec Coursera Plus

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.
1 semaine à compléter
Ă  10 heures par semaine
Planning flexible
Apprenez Ă  votre propre rythme
Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.
1 semaine à compléter
Ă  10 heures par semaine
Planning flexible
Apprenez Ă  votre propre rythme

Ce que vous apprendrez

  • In this course, you will identify ways in which emerging technologies can bring significant value to the business.

Compétences que vous acquerrez

  • CatĂ©gorie : Data Strategy
  • CatĂ©gorie : Prototyping
  • CatĂ©gorie : Marketing
  • CatĂ©gorie : Process Improvement and Optimization
  • CatĂ©gorie : Operations
  • CatĂ©gorie : Internet Of Things
  • CatĂ©gorie : Artificial Intelligence and Machine Learning (AI/ML)
  • CatĂ©gorie : AI Product Strategy
  • CatĂ©gorie : Cloud Computing
  • CatĂ©gorie : Process Optimization
  • CatĂ©gorie : Customer Service
  • CatĂ©gorie : Data Collection
  • CatĂ©gorie : Analytics
  • CatĂ©gorie : Artificial Intelligence
  • CatĂ©gorie : Operational Efficiency
  • CatĂ©gorie : Descriptive Analytics
  • CatĂ©gorie : User Experience
  • CatĂ©gorie : Predictive Analytics
  • CatĂ©gorie : Big Data
  • CatĂ©gorie : Data Science

Détails à connaître

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décembre 2025

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1 devoir

Enseigné en Anglais

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Il y a 9 modules dans ce cours

Before you can successfully plan and implement an Internet of Things (IoT) solution, you must understand the various factors that will drive your decisions, such as identifying what IoT can do for your organization, and the various business and technical challenges you'll need to address.

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Your organization is sold on the benefits of Internet of Things (IoT), has a healthy respect for the risks, and is prepared to undertake its first IoT project. To pull the project off successfully will require careful planning.

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In today's business environment, everyone is talking about data science and how it can transform success from mild to wild. But what exactly do the pundits mean by data science? Before an organization can take full advantage of the benefits of the data it accumulates, individuals at every level of the organization need to have some basic knowledge of what data science is, what types of data are readily (and not so readily) available, and the phases of the data science lifecycle.

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Business professionals bring vital domain knowledge to every data science project. It is imperative that companies expend money and effort towards those projects that will offer the most beneficial results. Even with this consideration, there are a few use cases that almost any company might try to enhance by using data science. In this lesson, you will identify functions of data science in business.

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So far, you have explored data science fundamentals and identified numerous compelling business uses for data science. To put this information to work and transform your business, there are certain requirements you should meet to ensure that the transformation is smooth and successful. In this lesson, you will implement business requirements for data science.

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Before you explore the many ways in which artificial intelligence (AI) can transform the business, you must first grasp the fundamentals. In this lesson, you'll identify what exactly AI is, as well as gain a high-level understanding of the major concepts that make up AI. This will provide you with a framework for understanding the practical implications of AI, as well as enable you to speak intelligently about this revolutionary phenomenon.

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Artificial intelligence (AI) has many applications across a wide variety of industries and sectors. In this lesson, you'll explore several of the most common ways in which AI enables new business functions or enhances existing functions. This will get you thinking about how AI can fulfill your own business needs and goals.

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Artificial intelligence (AI) is not a magic wand that you can wave to solve all of your problems. There are real costs involved, and many aspects you need to consider and plan for. In this lesson, you'll take a look at some of the requirements and challenges that AI poses, as well as how to develop strategies to address them.

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You'll wrap things up and then validate what you've learned in this course by taking the credential exam.

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1 devoir1 plugin

Instructeur

Bill Rosenthal
CertNexus
31 Cours410 apprenants

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