DSBIZ™(Exam DSZ-210)

Live Online (VILT) & Classroom Corporate Training Course

Certified IoT Practitioner edForce have signed partnership with Certnexus

Unlock the power of data science for business success in DSBIZ™ (Exam DSZ-210). Master essential concepts and techniques to make informed decisions, optimize processes, and drive growth. Prepare for the CertNexus® certification while enhancing your data-driven decision-making

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DSBIZ™(Exam DSZ-210)


DSBIZ™ (Exam DSZ-210) is a comprehensive course designed to equip business professionals and leaders with the knowledge and skills to leverage data science concepts and technologies for informed decision-making in today’s dynamic business landscape.


By the end of this course, leaner will be able to:

  • Explain the fundamentals of data science.
  • Identify functions of data science for business.
  • Implement business requirements for data science.
  • Understand how data science supports informed decision-making.
  • Prepare for the CertNexus® DSBIZ™ (Exam DSZ-210) credential.


  • Basic knowledge of business processes.
  • Understanding of general business concepts.
  • Familiarity with relevant data used in solving business problems.
  • Basic understanding of information technology (IT) resources and systems.
  • Knowledge of networks, computers, and digital devices in an enterprise setting.

Course Outline

Module 1: Data Science Fundamentals2024-02-18T11:32:47+05:30
  • Introduction to data science.
  • Types of data and analytics.
  • The data science lifecycle.
Module 2: Functions of Data Science in Business2024-02-18T11:33:37+05:30
  • Improving customer experience.
  • Enhancing marketing efforts.
  • Optimizing security.
  • Enhancing operational practices.
Module 3: Implementing Business Requirements for Data Science2024-02-18T11:37:02+05:30
  • Developing a data-centric organization.
  • Formulating an implementation strategy.
  • Identifying the impact of data science on business.
  • Implementing governance measures.
Module 4: Advanced Data Analysis Techniques2024-02-18T11:40:19+05:30
  • Introduction to advanced statistical analysis.
  • Machine learning algorithms for predictive modeling.
  • Deep learning concepts and applications.
Module 5: Capstone Project2024-02-18T11:41:23+05:30
  • Integration of learned concepts into a practical project.
  • Hands-on application of data science techniques.
  • Presentation of findings and recommendations

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