IIBA-CBDA.AQ1
Introduction to Business Data Analytics (CBDA)
Data is the new King! Learn how to perform data analysis that affects crucial business decisions.
- 8 Lecciones interactivas y 63 topics mapped to the official exam objectives
- 136 Preguntas del examen de práctica
Beginner A tu propio ritmo · 1 año de acceso 4.2/5 (349 Revisar)
01 / Habilidades que obtendrás
What you will be able to do
- Techniques for data cleaning and preparation (handling missing values, outliers, and more)
- Summarize and understand data characteristics for Exploratory Data Analysis (EDA)
- Conversion of raw data into a suitable format for analysis
- Using statistical methods to analyze data, including descriptive statistics, hypothesis testing, and correlation analysis
- Using visualization techniques to create various types of charts and graphs to communicate data insights
- Using different visualization methods to create stories that convey complex information in a clear and understandable manner
- Create conceptual, logical, and physical data models to represent the structure and relationships of data elements
- Ability to apply analytical techniques such as decision trees and regression analysis
- Find optimal solutions to complex problems, such as resource allocation or scheduling with mathematical techniques
- Implement policies and procedures to ensure data quality, security, and compliance with regulations
- Awareness of data warehousing and data marts to perform centralized data storage and analysis
- Execute ETL (Extract, Transfer, Load) process for extracting data from various sources, transforming it into a suitable format, and loading it
- Apply data mining techniques and algorithms to find patterns and trends in large datasets
- Using Machine Learning (ML) Algorithms to build predictive learning models
Target Career Roles
- Analista de Datos Empresariales
02 / Lecciones y laboratorios
See exactly what you will learn and practice
Plan de estudios
8 Lecciones interactivas · 63 topics01 Introduction to Business Data Analytics 5 topics +
- What is Business Data Analytics?
- The Business Data Analytics Cycle
- Business Data Analytics Objectives
- Business Analysis and Business Data Analytics
- Applications of Data Analytics
02 Identify the Research Questions 7 topics +
- Define Business Problem or Opportunity
- Identify and Understand the Stakeholders
- Assess Current State
- Define Future State
- Formulate Research Questions
- Plan Business Data Analytics Approach
- Techniques
03 Source Data 6 topics +
- Plan Data Collection
- Determine the Data Sets
- Collect Data
- Validate Data
- Techniques
- A Case Study for Source Data
04 Analyze Data 7 topics +
- Develop Data Analysis Plan
- Prepare Data
- Explore Data
- Perform Data Analysis
- Assess the Analytics and System Approach Taken
- Techniques
- A Case Study for Analyze Data
05 Interpret and Report Results 7 topics +
- Validate Understanding of Stakeholders
- Plan Stakeholder Communication
- Determine Communication Needs of Stakeholders
- Derive Insights from Data
- Document and Communicate Findings from Completed Analysis
- Techniques
- A Case Study for Interpret and Report Results
06 Use Results to Influence Business Decision-Making 5 topics +
- Recommend Actions
- Develop Implementation Plan
- Manage Change
- Techniques
- A Case Study for Use Results to Influence Business Decision-Making
07 Guide Organizational-Level Strategy for Business Data Analytics 6 topics +
- Organizational Strategy
- Talent Strategy
- Data Strategy
- Techniques
- Competencies
- A Case Study for Guide Organization-Level Strategy for Business Data Analytics
08 Appendix A: Techniques 20 topics +
- Business Simulation
- Business Visualizations
- Concept Modelling
- Data Dictionary
- Data Flow Diagrams
- Data Mapping
- Data Storytelling
- Decision Modelling and Analysis
- Descriptive and Inferential Statistics
- Extract, Transform, and Load (ETL)
- Exploratory Data Analysis
- Hypothesis Formulation and Testing
- Interface Analysis
- Optimization
- Problem Shaping and Reframing
- Stakeholder List, Map, or Personas
- Survey and Questionnaire
- Technical Visualizations
- The Big Idea
- 3-Minute Story
03 / Detalles del examen
Introduction to Business Data Analytics (CBDA) Detalles
El análisis de datos empresariales se aplica para realizar la exploración e investigación continua de los datos empresariales. El objetivo es obtener información sobre un negocio que pueda conducir a una mejor toma de...
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Preguntas antes de empezar
What is the Business Data Analytics (IIBA - CBDA) certification about? +
Are there any prerequisites for this certification exam? +
What important topics are covered in this Business Data Analytics course? +
What are the career benefits of doing this CBDA certification? +
How much salary does a CBDA Certified Data Analyst earn? +
What is the CBDA Business Analyst certification exam fee? +
What is the exam format?+
What is the CBDA exam duration?+
Is this data analytics course ideal for business professionals?+
Yes, it is an ideal course for job seekers as well as business professionals wanting to learn data analytics and make data-driven decisions.
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(en una escala de IIBA no proporciona puntuaciones ni porcentajes de puntuación para ninguno de los exámenes de certificación.-IIBA no proporciona puntuaciones ni porcentajes de puntuación para ninguno de los exámenes de certificación.)
¿Cuál es la política de repetición del examen?+
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Gain Job-Relevant Data Analytics Skills
Learn how to Analyze Data for evidence based decision-making.
- 1 año de acceso completo
- Certificado de finalización
No se requiere tarjeta de crédito