Business Data Analytics Certification (IIBA – CBDA) Training

About the Training

The “Business Data Analytics Certification (IIBA – CBDA) Training” offers an ideal pathway to enhance your competencies in business analysis and data analytics. This training is designed in accordance with the standards set by the International Institute of Business Analysis (IIBA).

Throughout this training, a broad spectrum of topics related to business and data analytics will be covered. Participants will gain proficiency in areas such as data collection, business analysis, data modeling, and data visualization. These skills enable participants to understand business data and utilize it to make strategic decisions.

The training also incorporates the application of modern business analytics tools and techniques. Participants will learn the latest technologies and methods for data analysis, gaining insights into how to analyze and interpret business data effectively.

The “Business Data Analytics Certification (IIBA – CBDA) Training” provides a strong foundation in business and data analytics, ensuring that participants acquire the essential knowledge and skills needed in these fields.

The training begins by establishing a comprehensive foundation in business and data analytics, introducing key concepts and principles used in these areas. Participants will then learn techniques for data collection, data analysis, and data visualization.

Finally, the IIBA – CBDA Training equips participants with the necessary skills to understand and analyze business data. This includes the ability to apply data analytics tools and techniques and to use business data for making strategic decisions.

 

What Will You Learn?

  • Data Collection and Cleaning Techniques
  • Management of Data Analytics Processes
  • Creation of Data Models
  • Data Security and Privacy
  • Data-Driven Decision-Making Processes
  • Data Analytics Applications
  • Data Mining and Exploratory Analytics
  • Data Visualization Techniques
  • Data Analytics Applications for Businesses
This training is beneficial for professionals looking to work in the field of data analytics and for businesses aiming to enhance their data-driven decision-making skills.

Prerequisites

 
  • Experience in Business and Data Analytics: The content of the training will be more comprehensible for those with experience in data analytics and business.
  • Database and Data Analytics Skills: The training will be more beneficial for individuals who possess database and data analytics skills.
  • Knowledge of Statistics and Mathematics: Since the training covers topics such as data analysis and modeling, knowledge of statistics and mathematics will be helpful for understanding the material.
These prerequisites serve as a general guide, and the specific requirements may vary for each training program. Before enrolling, it’s advisable to check the training provider’s website or contact the organization offering the training to confirm the exact prerequisites.

Who Should Attend?

  • Data Analytics Professionals: Those who want to understand data analytics processes, data models, data security, and privacy.
  • Business Analysts: Individuals looking to understand and apply data-driven decision-making processes in businesses.
  • Data Scientists: Professionals seeking a deeper understanding of data analysis, modeling, and visualization.
  • Business Managers: Managers who want to understand and oversee data analytics processes within their organizations.
This training can be beneficial for anyone looking to work professionally in the field of data analytics.

Outline

Fundamentals of Data Science/Analytics
  • Introduction to Data Science/Analytics
  • Use cases for Data Science/Analytics
  • Data Science lifecycle
  • Types of Data Analytics.
  • Artificial Intelligence/Machine Learning overview
Introduction to Certification in Business data analytics (CBDA)
  • Eligibility Criteria
  • Six Business Data Analytics Domains
Business Analysis and Data Analytics
  • Business Analysis in Data Analytics Projects
  • Business Analysis Vs Data Analytics
Introduction to Business Data analytics Domains
  • Identify the Research Questions – 20% (Domain 1)
  • Source Data – 15% (Domain 2)
  • Analyze Data – 16% (Domain 3)
  • Interpret and Report Results – 20% (Domain 4)
  • Use Results to Influence Business Decision Making – 20% (Domain 5)
  • Guide Organization-level Strategy for Business Analytics – 9% (Domain 6)
Domain 1: Identify the Research Questions
  • Define Business Problem or Opportunity.
  • Identify and Understand the Stakeholders,
  • Assess Current State,
  • Define Future State,
  • Formulate Research Questions,
  • Plan Business Data Analytics Approach, and
  • Select Techniques for Identify the Research Questions
Domain 2: Source Data
  • Plan Data Collection,
  • Determine the Data Sets,
  • Collect Data, and
  • Validate Data.
Domain 3: Analyze Data
  • Develop Data Analysis Plan,
  • Prepare Data,
  • Explore Data,
  • Perform Data Analysis, and
  • Assess the Analytics and System Approach Taken
Domain 4: Interpret and Report Results
  • Validate Understanding of Stakeholders,
  • Plan Stakeholder Communication,
  • Determine Communication Needs of Stakeholders,
  • Derive Insights from Data, and
  • Document and Communicate Findings from Completed Analysis, and
  • Select Techniques for Interpret and Reporting Results
Domain 5: Use Results to Influence Business Decision-Making
  • Recommend Actions,
  • Develop Implementation Plan, and
  • Manage Change.
Domain 6: Guide Organizational-Level Strategy for Business Data Analytics
  • Organizational Strategy,
  • Talent Strategy, and
  • Data Strategy.

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