Certification In Business Data Analytics(CBDA) Training

About Course

The Certification in Business Data Analytics (CBDA) is designed for professionals looking to leverage data analytics for business decision-making. Offered by various institutions, it validates skills in data analysis, interpretation, and visualization using tools like Excel, Tableau, or Python. CBDA prepares candidates to extract actionable insights from data, optimize business operations, and drive strategic initiatives based on data-driven recommendations. This certification enhances career opportunities by confirming proficiency in analyzing and presenting data effectively to support informed business decisions and improve organizational performance through data-driven strategies and solutions.

Course Content

Module 1: Fundamentals of Data Science/Analytics

1 Introduction to Data Science/Analytics
2 Use cases for Data Science/Analytics
3 Data Science lifecycle
4 Types of Data Analytics.
5 Artificial Intelligence/Machine Learning overview

Module 2: Introduction to Certification in Business data analytics (CBDA)

Module 3: Business Analysis and Data Analytics

Module 4: Introduction to Business Data analytics Domains

Module 5: Identify the Research Questions

Module 6: Source Data

Module 7: Analyze Data

Module 8: Interpret and Report Results

Module 9: Use Results to Influence Business Decision-Making

Module 10: Guide Organizational-Level Strategy for Business Data Analytics

Module 11: Techniques

1 Business Simulation
2 Business Visualizations
3 Concept Modelling
4 Data Dictionary
5 Data Flow Diagrams
6 Data Mapping
7 Data Storytelling
8 Decision Modelling and Analysis
9 Descriptive and Inferential Statistics
10 Extract, Transform, and Load (ETL)
11 Exploratory Data Analysis
12 Hypothesis Formulation and Testing
13 Interface Analysis
14 Optimization
15 Problem Shaping and Reframing
16 Stakeholder List, Map, or Personas
17 Survey and Questionnaire
18 Technical Visualizations
19 The Big Idea
20 3-Minute Story

About Course

What Will You Learn?

Course Content

Module 1: Fundamentals of Data Science/Analytics

1 Introduction to Data Science/Analytics

2 Use cases for Data Science/Analytics

3 Data Science lifecycle

4 Types of Data Analytics.

5 Artificial Intelligence/Machine Learning overview

Module 2: Introduction to Certification in Business data analytics (CBDA)

1 Eligibility Criteria

2 Six Business Data Analytics Domains

Module 3: Business Analysis and Data Analytics

1 Business Analysis in Data Analytics Projects

2 Business Analysis Vs Data Analytics

Module 4: Introduction to Business Data analytics Domains

1 Identify the Research Questions – 20% (Domain 1)

2 Source Data – 15% (Domain 2)

3 Analyze Data – 16% (Domain 3)

4 Interpret and Report Results – 20% (Domain 4)

5 Use Results to Influence Business Decision Making – 20% (Domain 5)

6 Guide Organization-level Strategy for Business Analytics – 9% (Domain 6)

Module 5: Identify the Research Questions

1 Define Business Problem or Opportunity.

2 Identify and Understand the Stakeholders,

3 Assess Current State,

4 Define Future State,

5 Formulate Research Questions,

6 Plan Business Data Analytics Approach, and

7 Select Techniques for Identify the Research Questions

Module 6: Source Data

1 Plan Data Collection,

2 Determine the Data Sets,

3 Collect Data, and

4 Validate Data.

Module 7: Analyze Data

1 Develop Data Analysis Plan,

2 Prepare Data,

3 Explore Data,

4 Perform Data Analysis, and

5 Assess the Analytics and System Approach Taken

Module 8: Interpret and Report Results

1 Validate Understanding of Stakeholders,

2 Plan Stakeholder Communication,

3 Determine Communication Needs of Stakeholders,

4 Derive Insights from Data, and

5 Document and Communicate Findings from Completed Analysis, and

6 Select Techniques for Interpret and Reporting Results

Module 9: Use Results to Influence Business Decision-Making

1 Recommend Actions,

2 Develop Implementation Plan, and

3 Manage Change.

Module 10: Guide Organizational-Level Strategy for Business Data Analytics

1 Organizational Strategy,

2 Talent Strategy, and

3 Data Strategy.

Module 11: Techniques

1 Business Simulation

2 Business Visualizations

3 Concept Modelling

4 Data Dictionary

5 Data Flow Diagrams

6 Data Mapping

7 Data Storytelling

8 Decision Modelling and Analysis

9 Descriptive and Inferential Statistics

10 Extract, Transform, and Load (ETL)

11 Exploratory Data Analysis

12 Hypothesis Formulation and Testing

13 Interface Analysis

14 Optimization

15 Problem Shaping and Reframing

16 Stakeholder List, Map, or Personas

17 Survey and Questionnaire

18 Technical Visualizations

19 The Big Idea

20 3-Minute Story