A combination of a Bachelor of Arts (BA) degree and Tableau skills can be a powerful asset in the professional world, particularly in fields related to data analysis, business intelligence, and visual storytelling. In summary, the combination of a Bachelor of Arts degree and Tableau proficiency creates a unique skill set that bridges the gap between data analysis and effective communication.
Business Analytics (CBAP)+ Tableau
Duration of Training : 4 months
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
COURSE CONTENT :
Chapter-1 : Introduction
Introduction – Purpose of the BABOK® Guide – What is Business Analysis? – Who is a Business Analyst? – Structure of the BABOK® Guide
Chapter-2 : Business Analysis Key Concepts
The Business Analysis Core Concept Model™ – Key Terms – Requirements Classification Schema – Stakeholders – Requirements and Designs
Chapter-3 : Business Analysis Planning and Monitoring
Plan Business Analysis Approach – Plan Stakeholder Engagement – Plan Business Analysis Governance – Plan Business Analysis Information Management – Identify Business Analysis Performance Improvements
Chapter-4 : Elicitation and Collaboration
Prepare for Elicitation – Conduct Elicitation – Confirm Elicitation Results – Communicate Business Analysis Information – Manage Stakeholder Collaboration
Chapter-5 : Requirements Life Cycle Management
Trace Requirements – Maintain Requirements – Prioritize Requirements – Assess Requirements Changes – Approve Requirements
Chapter-6 : Strategy Analysis
Analyze Current State – Define Future State – Assess Risks – Define Change Strategy
Chapter-7 : Requirements Analysis and Design Definition
Specify and Model Requirements – Verify Requirements – Validate Requirements – Define Requirements Architecture – Define Design Options – Analyze Potential Value and Recommend Solution
Chapter-8 : Solution Evaluation
Measure Solution Performance – Analyze Performance Measures – Assess Solution Limitations – Assess Enterprise Limitations – Recommend Actions to Increase Solution Value
Chapter-9 : Underlying Competencies
Analytical Thinking and Problem Solving – Behavioural Characteristics – Business Knowledge – Communication Skills – Interaction Skills – Tools and Technology
Chapter-10 : Techniques
Acceptance and Evaluation Criteria – Backlog Management – Balanced Scorecard – Benchmarking and Market Analysis – Brainstorming – Business Capability Analysis – Business Cases – Business Model Canvas – Business Rules Analysis – Collaborative Games – Concept Modelling – Data Dictionary – Data Flow Diagrams – Data Mining – Data Modelling – Decision Analysis – Decision Modelling – Document Analysis – Estimation – Financial Analysis – Focus Groups – Functional Decomposition – Glossary – Interface Analysis – Interviews – Item Tracking – Lessons Learned – Metrics and Key Performance Indicators (KPIs) – Mind Mapping – Non-Functional Requirements Analysis – Observation – Organizational Modelling – Prioritization – Process Analysis – Process Modelling – Prototyping – Reviews – Risk Analysis and Management – Roles and Permissions Matrix – Root Cause Analysis – Scope Modelling – Sequence Diagrams – Stakeholder List, Map, or Personas – State Modelling – Survey or Questionnaire – SWOT Analysis – Use Cases and Scenarios – User Stories – Vendor Assessment – Workshops
Chapter-11 : Perspectives
The Agile Perspective – The Business Intelligence Perspective – The Information Technology Perspective – The Business Architecture Perspective – The Business Process Management Perspective
COURSE CONTENT :
1. Introduction and Getting Started
2. Filtering, Sorting & Grouping
Filtering, Sorting and Grouping are fundamental concepts
when working with and analyzing data. We will briefly review these topics as they apply to Tableau
3. Working with Data
In the Advanced class, we will understand the difference between joining and blending data, and when we should do each. We will also consider the implications of working with large data sets, and consider options for when and how to work with extracts and the data engine. We will also investigate best practices in “sharing” data sources for Tableau Server users.
4. Working with Calculated Data and Statistics
In the Fundamentals Class, we were introduced to some basic calculations: basic string and arithmetic calculations and ratios and quick table calculations. In the Advanced class, we will extend those concepts to understand the intricacies of manipulating data within Tableau
5. A Quick Review of Basic Calculations
Arithmetic Calculations
String Manipulation
Date Calculations
Quick Table Calculations
Custom Aggregations
Custom Calculated Fields
Logic and Conditional Calculations
Conditional Filters
6. Advanced Table Calculations
Understanding Scope and Direction
Calculate on Results of Table Calculations
Complex Calculations
Difference From Average
Discrete Aggregations
Index to Ratios
7. Working with Parameters
In the Fundamentals class, we were introduced to parameters – How to create a parameter and use it in a calculation. In the Advanced class, we will go into more details on how we can use parameters to modify our title, create What-If analysis, etc
Parameter Basics
Data types of parameters
Using parameters in calculated fields
Inputting parameter values and parameter control options
Advanced Usage of Parameters
Using parameters for titles, field selections, logic statements, Top X
8. Building Advanced Chart Types and Visualizations/Tips & Tricks
This topic covers how to create some of the chart types and visualizations that may be less obvious in Tableau. It also covers some of the more common tips & tricks/techniques that we use to assist customers in solving some of their more complex problems.
9. Best Practices in Formatting and Visualizing