Combo Program

★★★★★

(2,088 ratings) 50,000+ Student

BA & TABLEAU COMBO Training in Pune

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.

Radical Technologies

50,000+ English 22 Modules · 1 Section

Online / Classroom

BA & TABLEAU COMBO

BUSINESS ANALYST-CBAP

Sections Included 1 Section (BUSINESS ANALYST-CBAP)

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

Tools you'll master

Tableau SQL Data Analysis Business Intelligence Git

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100% placement assistance

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What you'll learn

Chapter-1 : Introduction

Chapter-2 : Business Analysis Key Concepts

Programme Overview

22 modules across BUSINESS ANALYST-CBAP — a single, progressive learning arc from foundational concepts to real-world projects.

Programme Sections

Total Modules

167

Total Topics

4.8★

Average Rating

50K+

Students Trained

BUSINESS ANALYST-CBAP

Master the core concepts and hands-on skills of BUSINESS ANALYST-CBAP — from fundamentals to real-world application.

Tableau SQL Data Analysis

Who is this programme for?

Whether you're starting from scratch, know some SQL, or are already writing code — this programme takes you from database fundamentals through Python programming to real-world data analysis.

Students & Freshers

Build a strong foundation in BA & TABLEAU COMBO and gain practical, job-ready experience from day one.

Working Professionals

Upskill and combine complementary skills from multiple courses in one structured programme.

Career Switchers

Move into a new technical role with a single, structured path covering everything you need.

IT Professionals

Deepen your expertise and broaden your skill set with hands-on, practical training.

Course Curriculum

1 section • 22 modules • 167 topics

BUSINESS ANALYST-CBAP

Programme Sections

100% Practical · Unlimited Doubt Sessions

Introduction – Purpose of the BABOK® Guide – What is Business Analysis? – Who is a Business Analyst? – Structure of the BABOK® Guide

The Business Analysis Core Concept Model™ – Key Terms – Requirements Classification Schema – Stakeholders – Requirements and Designs

Plan Business Analysis Approach – Plan Stakeholder Engagement – Plan Business Analysis Governance – Plan Business Analysis Information Management – Identify Business Analysis Performance Improvements

Prepare for Elicitation – Conduct Elicitation – Confirm Elicitation Results – Communicate Business Analysis Information – Manage Stakeholder Collaboration

Trace Requirements – Maintain Requirements – Prioritize Requirements – Assess Requirements Changes – Approve Requirements

Analyze Current State – Define Future State – Assess Risks – Define Change Strategy

Specify and Model Requirements – Verify Requirements – Validate Requirements – Define Requirements Architecture – Define Design Options – Analyze Potential Value and Recommend Solution

Measure Solution Performance – Analyze Performance Measures – Assess Solution Limitations – Assess Enterprise Limitations – Recommend Actions to Increase Solution Value

Analytical Thinking and Problem Solving – Behavioural Characteristics – Business Knowledge – Communication Skills – Interaction Skills – Tools and Technology

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

The Agile Perspective – The Business Intelligence Perspective – The Information Technology Perspective – The Business Architecture Perspective – The Business Process Management Perspective

1. Introduction and Getting Started

Why Tableau? Why Visualization?

The Tableau Product Line

Level Setting – Terminology

Getting Started – creating some powerful visualizations quickly

Review of some Key Fundamental Concepts

What is Tableau?

What does the Tableau product suite comprise of? How Does Tableau Work?

Tableau Architecture

Connecting to Data & Introduction to data source concepts

Understanding the Tableau workspace

Dimensions and Measures

Data Types & Default Properties

Tour of Shelves & Marks Card

Using Show Me

Saving and Sharing your work-overview

Filtering, Sorting and Grouping are fundamental concepts

when working with and analyzing data. We will briefly review these topics as they apply to Tableau

Advanced options for filtering and hiding

Understanding your many options for ordering and grouping your data: Sort, Groups, Bins, Sets

Understanding how all of these options inter-relate

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.

Data Types and Roles

Dimension versus Measures

Data Types

Discrete versus Continuous

The meaning of pill colors

Database Joins

Data Blending

Working with the Data Engine / Extracts and scheduling extract updates

Working with Custom SQL

Adding to Context

Switching to Direct Connection

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

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

Understanding Scope and Direction

Calculate on Results of Table Calculations

Complex Calculations

Difference From Average

Discrete Aggregations

Index to Ratios

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

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.

Bar in Bar

Box Plot

Bullet Chart

Custom Shapes

Gantt Chart

Heat Map

Pareto Chart

Spark Line

KPI Chart

Best Practices in Formatting and Visualizing

Formatting Tips

Drag to Legend

Edit Legend

Highlighting

Labeling

Legends

Working with Nulls

Table Options

Annotations and Display Options

Introduction to Visualization Best Practices

Data Analysis using Pivot Tables – use of row and column shelf, values and filters

Difference between data layering and cross tabulation, summary reports, advantages and limitations

Change aggregation types and summarisation

Creating groups and bins in pivot data

Concept of calculated fields, usage and limitations

Changing report layouts – Outline, compact and tabular forms

Show and hide grand totals and subtotals

Creating summary reports using pivot tables

SQL : Data Manipulation (DML Commands)

Insert, Update & Delete statements

Select statement – Subsetting, Filters, Sorting. Removing Duplicates, grouping and aggregations etc

Where, Group By, Order by & Having clauses

SQL Functions – Number, Text, Date, etc

SQL Keywords – Top, Distinct, Null, etc

SQL Operators – Relational (single valued and multi valued), Logical (and, or, not), Use of wildcard operators and wildcard characters, etc

Append and JoinsUnion and Union All – Use & constraints

Intersect and Except statements

Table Joins – inner join, left join, right join, full join

Cross joins/cartesian products, self joins, natural joins etc

Inline views and sub-queries

Optimizing your work

13. Tableau : Data Handling & Summaries

Date Aggregations and Date parts

Cross tab & Tabular charts

Totals & Subtotals

Bar Charts & Stacked Bars

Line Graphs with Date & Without Date

Tree maps

Scatter Plots

Individual Axes, Blended Axes, Dual Axes & Combination chart

Parts of Views

Sorting

Trend lines/ Forecasting

Reference Lines

Filters/Context filters

Sets

In/Out Sets

Combined Sets

Grouping

Bins/Histograms

Drilling up/down – drill through

Hierarchies

View data

Actions (across sheets)

Explain latitude and longitude

Default location/Edit locations

Building geographical maps

Using Map layers

Tableau : Calculated Fields

Working with aggregate versus disaggregate data

Explain – #Number of Rows

Basic Functions (String, Date, Numbers etc)

Usage of Logical conditions

Explain scope and direction

Percent of Total, Running / Cumulative calculations

Introduction to LOD (Level of Detail) Expressions

User applications of Table calculations

Tableau : Parameters

Using Parameters inCalculated fieldsBins

Reference Lines

Filters/Sets

Display Options (Dynamic Dimension/Measure Selection)

Create What-If/Scenario analysis

Combining multiple visualizations into a dashboard (overview)

Making your worksheet interactive by using actionsFilter

URL

Highlight

Complete Interactive Dashboard for Sales & Services

Tableau : Formatting

Options in Formatting your Visualization

Working with Labels and Annotations

Effective Use of Titles and Captions

Multiple Table Joins

Data Blending

Difference between joining and blending data, and when we should do each

Toggle between to Direct Connection and Extracts

Tools & Technologies

Every tool and library listed here is installed, configured and used in a hands-on lab session.

BUSINESS ANALYST-CBAP

Tableau

Covered in BUSINESS ANALYST-CBAP

SQL

Covered in BUSINESS ANALYST-CBAP

Data Analysis

Covered in BUSINESS ANALYST-CBAP

Business Intelligence

Covered in BUSINESS ANALYST-CBAP

Tools & Libraries

167+

Hands-On Topics

Total Modules

Programme Sections

You don't just learn BA & TABLEAU COMBO. You apply it.

A combined capstone project across all 1 section — the same way you'd apply these skills on the job.

PROJECT // 01

BA & TABLEAU COMBO Capstone Project

→BUSINESS ANALYST-CBAP

Capstone Project Combined

Apply everything you learn across BUSINESS ANALYST-CBAP to one real-world project

Bring together every course in this programme into a single, end-to-end project — the same way you would apply these combined skills on the job.

A working project combining all course modules

Added directly to your project portfolio

Reviewed by mentors before you graduate

Stack Tableau SQL Data Analysis Business Intelligence Git

Hands-on Practice Areas

Hands-on Practice: BUSINESS ANALYST-CBAP

All projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.