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1 day virtual course

Data Science for Business Professionals – CNX-DSBIZ

This course offers business professionals with the necessary knowledge to help make decisions and drive organizational data strategies by understanding data fundamentals, implementation tactics, and potential effects of data-driven solutions.

Benefits of Data Science

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.

The certification DSBIZ DSZ-210 from CertNexus is included in the course.

CertNexus is a vendor-neutral certification body, providing emerging technology certifications and micro-credentials for business, data, IT and security professionals.

Learning objective

In this course, you will identify how data science supports informed business decisions. You will:

  • Explain the fundamentals of data science.

  • Identify functions of data science for business.

  • Implement business requirements for data science

Target 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

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.

Course content

Data Science Fundamentals

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

 

Functions of Data Science in Business

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
 

Implementing Business Requirements for Data Science

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

 
 

Certification

This training is preparing you for CertNexus® DSBIZ (Exam DSZ-210).

This exam will certify that the candidate will have an understanding of what data science is, how it relates to and can benefit business functions, identify potential risks, and demonstrate an understanding of the challenges and milestones of implementing data science and becoming a data-driven organization.

The exam is included in the price.

  • Passing Score: 80% (20 out of 25)

  • Number of questions: 25

  • Duration: Estimated 20-45 minutes

  • Format: Multiple Choice/Multiple Response/True-False

Upon successful credentials candidates will earn the CertNexus DSBIZ credentials.

 
 
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