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ETBIZ: Emerging Technology for the Business Professional (Exam ETZ-210) - e-learning
Duration
1.5 Days
Course
CNX0480el
Available Formats
Self-Paced Training
Course Description
Overview
This three-course bundle includes eLearning videos and course material for the Emerging Technology for the Business professional, inclusive of IoTBIZ, AIBIZ and DSBIZ, as well as a combined assessment allowing the learner to obtain the ETBIZ credential. Business professionals will gain an understanding of internet of things, artificial intelligence and data science, plus the benefits and challenges of how to begin integrating these emerging technologies into your business.1. (IoTBIZ Course Description)
The Internet of Things (IoT) promises a wide range of benefits for industry, energy and utility companies, municipalities, healthcare, and consumers. Data can be collected in extraordinary volume and detail regarding almost anything worth measuring, such as public health and safety, the environment, industrial and agricultural production, energy, and utilities. New data analysis tools have been optimized for the massive amounts of data that IoT produces, enabling well-informed decisions to be made quickly.
This course and associated credential (IOZ-110) will validate a participant’s knowledge of IoT terminology, their ability to understand the components of IoT infrastructure, uncover challenges for consideration and the impact that IoT has on their organization. Successful participants will be able to identify what IoT can do for their organization and the various business and technical challenges to address. CertNexus is recognized by SHRM to offer Professional Development Credits (PDCs) for SHRM-CP® or SHRM-SCP® recertification activities.
2. (AIBIZ Course Description)
Artificial intelligence (AI) is not just another technology or process for the business to consider—it is a truly disruptive force, one that delivers an entirely new level of results across business sectors. Even organizations that resist adopting AI will feel its impact. If the organization wants to thrive and survive in this transforming business landscape, it will need to harness the power of AI.
This course is designed to help business professionals conquer and move beyond the basics of AI to apply AI concepts for the benefit of the business. It will give you the essential knowledge of AI you'll need to steer the business forward.
3. (DSBIZ Course Description)
The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold that raw data into information that facilitates decisions to improve and expand the success of the business.
Objectives
2. (AIBIZ Objectives)
In this course, you will identify ways in which AI can bring significant value to the business. You will:
- Describe AI fundamentals.
- Identify the functions of AI in business.
- Implement business requirements for AI.
- Explain the fundamentals of data science.
- Identify functions of data science for business.
- Implement business requirements for data science.
Audience
1. (IoTBIZ Audience)
This course is intended for business leads in project management, marketing and sales who are seeking to grow their organization through IoT technology solutions. This course prepares students for taking the CertNexus® IoTBIZ Credential (IOZ-110).
2. (AIBIZ Audience)
This course is primarily designed for business leaders, consultants, product and project managers, and other decision-makers who are interested in growing the business by leveraging the power of AI. Other individuals who wish to explore basic AI concepts are also candidates for this course.
This course is also designed to assist students in preparing for the CertNexus® AIBIZ™ (Exam AIZ-210) credential.
3. (DSBIZ Audience)
This course is primarily designed for business professionals and leaders who are interested in growing the business by leveraging the power of data science. Other individuals who wish to explore basic data science concepts may also benefit from taking this course.
This course is also designed to assist learners in preparing for the CertNexus® DSBIZ™ (Exam DSZ-210) credential.
Prerequisites
-
2. (AIBIZ Prerequisites)
To ensure your success in this course you should have a foundational knowledge of business processes and general business concepts. You should also have at least a basic understanding of information technology resources and systems, including networks, computers, and other electronic devices used in the enterprise.
3. (DSBIZ Prerequisites)
To ensure your success with this course, you should have basic knowledge of business processes, general business concepts, and relevant data that helps to solve business problems or achieve business goals. You should also have a basic understanding of information technology (IT) resources and systems, including networks, computers, and other digital devices used in an enterprise setting.
Topics
1. (IotBIZ Course Outline)
Lesson 1: Defining IoT for Business Leaders
- Topic A: IoT Ingredients
- Topic B: IoT Business Strategies
- Topic A: System of Systems
- Topic B: Identify Resources
- Topic A: Business Considerations
- Topic B: Security Concerns
- Topic C: Organizational and Societal Impacts
- Topic A: IoT Market Sectors
- Topic B: IoT Implementation
- Topic A: A Brief History of AI
- Topic B: AI Concepts
- Topic A: Improve User Experiences
- Topic B: Segment Audiences
- Topic C: Secure Assets
- Topic D: Optimize Processes
- Topic A: Identify Design Requirements
- Topic B: Identify Data Requirements
- Topic C: Identify Risks in Implementing AI
- Topic D: Develop an AI Strategy
- Topic A: What Is Data Science?
- Data Science
- The Elements of Data Science
- Data Teams
- Required Skills and Knowledge
- Data Analytics
- Descriptive Analytics
- Types of Descriptive Analytics
- Diagnostic Analytics
- Types of Diagnostic Analytics
- Predictive Analytics
- Types of Predictive Analytics
- Prescriptive Analytics
- Types of Prescriptive Analytics
- Statistical Analysis Concepts
- Related Concepts and Technologies
- Pulling It All Together
- Discussing Data Science and Related Technologies
- Identifying Data Science Opportunities from a Dataset (Optional)
- Topic B: Types of Data
- Big Data
- Structured, Unstructured, and Semi-Structured Data
- Open and Proprietary Data
- Data Sources
- Data Repositories
- Discussing Types of Data Used in Data Science Projects
- Topic C: The Data Science Lifecycle
- Lifecycle Stages
- Problem Identification
- Data Collection
- Preprocessing
- Exploratory Data Analysis
- Modeling
- Model Deployment
- Communication of Results
- Discussing the Data Science Lifecycle
- Topic A: Improve Customer Experience
- Customer Experience
- Personalized CX
- Sentiment Analysis
- Recommender Systems
- Self-Service Support
- Chatbots and Virtual Assistants
- Improving Customer Experience
- Topic B: Improve Marketing Efforts
- Audience Segmentation
- Targeted Advertising
- Campaign Optimization
- Marketing Measurement Analysis
- Improving Marketing Efforts
- Topic C: Optimize Organizational and Transactional Security
- Fraud Detection
- Minimization of Loan Defaults
- Reduction of Intellectual Property Theft
- Risk Identification and Mitigation
- Cybersecurity Considerations
- Optimizing Organizational and Transactional Security
- Topic D: Enhance Operational Practices
- System or Component Failure
- Sales Forecasting
- Dynamic Pricing
- Customer Churn
- Talent Acquisition
- Transportation and Logistics
- Enhancing Operational Practices
- Topic A: Develop a Data-Centric Organization
- What Is a Data-Centric Organization?
- Challenges Associated with Building a Data-Centric Organization
- Organizational Preparation
- Team Preparation
- Discussing the Development of Data-Centric Organizations
- Topic B: Develop an Implementation Strategy
- Selection of Business Cases for Implementation
- Implementation Investments
- Data Collection Considerations
- Data Preparation Considerations
- Modeling and Deployment Considerations
- Results Communication Considerations
- Developing an Implementation Strategy
- Topic C: Identify Impact of Data Science on Business
- Effects on Overall Business Operations
- Effects on Business Processes and Practices
- Data Issues
- AI-Related Risks
- Discussing the Impact of Data Science on Business
- Topic D: Identify Governance Measures
- Ethical Considerations
- Legal and Regulatory Considerations, Frameworks, and Guidelines
- Discussing Governance Measures
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
- All cancellations must be made in accordance with the policies of the specific testing center that is administering your certification exam. Additionally, candidates are subject to the testing center’s no-show policy in terms of rescheduling or seeking a refund. Visit your testing centers’ website for more information on cancellations and no-shows.
- Vouchers for CertNexus certification exams are non-refundable, non-transferable, and non-exchangeable.
- All vouchers, including any retakes, expire 18 months from the date of purchase, unless otherwise noted.
- Any candidates who do not pass a CertNexus certification exam on their first attempt are eligible for a second attempt immediately, at no additional cost and with no waiting period before the retake. All CertNexus certification exam vouchers include one free retake.
- Retakes are only valid for the same exam and same exam version that was initially purchased and using the same voucher code. All attempts, including retakes, must occur prior to the voucher expiration date.
- For any attempts after the free retake (i.e. before the third attempt or any subsequent attempt, or after the expiration date), candidates must purchase another voucher.
- While there are no time restrictions on the third attempt or any subsequent attempts thereafter, CertNexus strongly recommends a 30-day preparation period before taking the exam again.
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