AI Powered Business Analyst Bootcamp - with CBAP®, Power BI, SQL, Tableau, and More!

AI Powered Business Analyst Bootcamp

5 months bootcamp program (eLearning + Live online class every weekend!)

Flexible admission, new class cohort every 1-2 months/ courses

• Gain 35 PDs/CDUs through live CBAP® training aligned with the IIBA® BABOK® Guide V3
• Master 10+ AI-powered tools including Power BI, Excel, MySQL, and Tableau
• Develop skills in Product Thinking, Agile methodologies, RPA, and Process Mining

The AI-Powered Business Analyst program is designed to prepare you for the evolving role of modern business analysts, where traditional skills are enhanced with AI-driven tools and practices. You’ll gain a strong foundation in core BA competencies such as requirements planning, elicitation, stakeholder engagement, business process modeling, and solution evaluation.

What sets this program apart is its integration of AI and data-driven tools into the business analysis workflow. You’ll learn to work with Excel, SQL, Power BI, and Generative AI applications to analyze data, uncover insights, and support smarter decision-making. In addition, the program covers Agile frameworks, product thinking, Robotic Process Automation (RPA), and process mining, equipping you with the skills needed to thrive in fast-paced, technology-driven environments.

Through hands-on projects, case studies, and real-world simulations, you’ll build practical expertise that directly applies to today’s business challenges. By the end of the program, you’ll not only gain job-ready technical and analytical skills but also earn a globally recognized certificate, enhancing your professional credibility and career prospects in business analysis and beyond.

Key Features

• Course and material in English
• Beginner - Advanced level
• 5 Months bootcamp program with flexible live class cohort / courses
• 100+ hours of live online classroom (weekend class)
• New class cohort every 1-2 months
• 30+ Hours of eLearning Material
• Study time: Approximately 250-300 hours
• 1 year of access to the learning platform & class recordings
• 10+ industry projects & 40+ practical case activities
• Earn 35 PDs/CDUs with live CBAP® Certification training aligned to BABOK® v3
• Certificate for each courses & bootcamp master certificate included

Learning Outcome

• Gain hands-on experience with 10+ GenAI-powered business analysis tools including Power BI, Excel, SQL, and more
• Gain expertise in tools like Excel and Tableau while developing key skills in requirement analysis, product vision and roadmap creation, analytics, and beyond.
• Explore AI-driven business analysis with Generative AI tools such as ChatGPT, Copilot, and others
• Learn to spot automation opportunities, document processes, and collaborate effectively with RPA teams
• Achieve official trophies and badges for Microsoft Azure Data Fundamentals through the Microsoft Learn portal
• Build expertise in Agile practices, backlog refinement, stakeholder mapping, design thinking, and BPMN

23+ Skills Covered

• Business Analysis
• Requirement Elicitation
• Data Analysis
• Data Visualization
• Data Cleaning & Preparation
• Life Cycle Management
• Strategy Analysis
• Solution Evaluation
• Excel Macros & VBA
• Pivot Tables & Dashboarding
• Data Modeling & Calculations
• Model Performance Evaluation
• Documentation & Collaboration
• Process Mining
• Agile Thinking & Methodologies
• Design Thinking
• Data Querying

Target Group

This program is ideal for professionals from any educational background who possess an analytical mindset, including:

• Aspiring Business Analysts, such as recent graduates or individuals seeking a career transition
• IT professionals looking to enhance their business analysis skills
• Beginners entering the data analytics field
• Project managers and professionals currently handling business analysis tasks, including administrators, managers, and project leads
• Banking and finance professionals
• Marketing managers
• Supply chain and network managers

Prerequisites

There are no strict educational prerequisites for enrolling in a business analyst course—anyone with an interest in working with data can participate.

Bootcamp Curriculum

1. CBAP® Certification Training
2. AI-Powered Business Analytics With Excel
3. GenAI-Powered SQL for Business Analysts
4. Power BI Training
5. RPA, Business Automation Basics and Process Mining
6. Agile and Product Thinking
7. Business Analyst Capstone Project

Electives:

• Tableau Desktop Specialist Certification Training
• CCBA® Certification of Capability in Business Analysis
• Essentials of Generative AI, Prompt Engineering & ChatGPT
• BA: Microsoft Azure Data Fundamentals

1. CBAP® Certification Training

The CBAP® Course, aligned with BABOK® Guide Version 3, provides a comprehensive understanding of essential business analysis concepts, principles, and techniques. Participants can earn 35 CDUs while benefiting from 7 simulation assessments and over 900 practice questions to reinforce learning. This IIBA®-accredited course is designed to thoroughly prepare professionals for the CBAP® exam, equipping them with the knowledge and confidence to succeed.

Learning Goals:

• Conduct effective Strategy Analysis to align business goals and solutions
• Perform Requirements Analysis and Design Definition for accurate solution design
• Evaluate solutions through comprehensive Solution Evaluation techniques
• Understand the Business Analyst’s Perspective in organizational contexts
• Gain an overview of IIBA and the BABOK® v3 framework
• Plan, monitor, and manage business analysis activities with Business Analysis Planning and Monitoring
• Master Elicitation and Collaboration for stakeholder engagement
• Manage requirements throughout their full Life Cycle

Course Curriculum

• Understand IIBA Certifications (ECBA, CCBA, CBAP): Eligibility, Process & Benefits
• Understand the BABOK® Framework and the Business Analysis Core Concept Model (BACCM)
• Build strong foundations in Business Analysis techniques, competencies, and best practices
• Identify stakeholders and enhance collaboration and communication skills
• Classify requirements and apply business analysis governance principles
• Plan and implement effective business analysis approaches and methods
• Analyze the current state, define the future state, and design change strategies
• Conduct risk assessment and ensure strategic alignment
• Elicit, confirm, communicate, trace, prioritize, maintain, and approve requirements
• Develop requirements architecture, modeling, and design options
• Verify and validate requirements to ensure quality and completeness
• Analyze potential value and recommend actionable solutions
• Measure and evaluate solution performance, addressing limitations and proposing value-enhancing actions
• Apply perspectives from Agile, Business Intelligence, Information Technology, Business Architecture, and BPM

2. AI-Powered Business Analytics With Excel

In this course, you will gain a solid understanding of business analytics concepts, the different types of analytics, and their real-world applications. You’ll master Excel for tasks such as data cleaning, preparation, analysis, dashboard creation, and reporting. Learn to effectively use functions, PivotTables, slicers, Power Query, and AI-powered Excel tools. Additionally, you’ll apply What-If Analysis, macros, and VBA to automate workflows and generate actionable insights.

Learning Goals:

• Introduction to Business Analytics
• Data Cleaning and Preparation
• Conditional Formatting and Key Excel Functions
• Data Analysis Using PivotTables
• Dashboard Creation and Visualization
• AI-Powered Excel Tools for smarter insights
• Advanced Excel Techniques: What-If Analysis and Macros

Course Curriculum

• Fundamentals of analytics and the project life cycle
• Types of analytics: descriptive, diagnostic, predictive, prescriptive
• Key analytics domains: customer, financial, performance, risk
• Excel basics: data import, cleaning, formulas, and formatting
• Essential Excel functions: logical, lookup, reference, statistical
• PivotTables for advanced reporting and data grouping
• Power Query & Power Pivot for ETL and multi-table analysis
• Data connectors & slicers for interactive filtering
• Dashboard design principles, charts, and interactivity
• What-If Analysis: goal seek, data tables, scenario manager
• Macros & VBA: writing, running, and scripting basics
• Spreadsheet AI: auto formula generation, tagging, summarizing
• Analyze Data tool in Excel for AI-powered insights and use cases

3. GenAI-Powered SQL for Business Analysts

In this course, you will gain a strong foundation in database concepts, including ER modeling, normalization, and MySQL fundamentals. You’ll master SQL commands, functions, joins, subqueries, views, and CTEs, while working with operators, constraints, and various data types. The course also covers advanced analytics using Window functions and introduces AI tools like ChatGPT and Copilot to help write, optimize, and debug SQL queries efficiently.

Learning Outcomes

• Introduction to Power BI: Overview and key concepts
• Connecting to Data Sources: Importing and linking data
• Preparing the Data: Cleaning, transforming, and structuring datasets
• Data Modeling: Creating relationships and designing data models
• Model Calculations with DAX: Implementing formulas for insights
• Optimizing Model Performance: Techniques for faster, efficient analytics
• Visualizing and Analyzing Data: Building dashboards, reports, and interactive visualizations

Course Curriculum

• Introduction to data and databases: Relational, NoSQL, Graph
• Understanding DBMS vs RDBMS
• ER Modeling: diagrams, relationships, and cardinality
• Data normalization and relationship types
• Database fundamentals: ACID properties, schemas
• Working with tables in MySQL: DDL & DML operations
• Data grouping, sorting, and filtering with GROUP BY, HAVING, ORDER BY
• SQL data types, operators, and indexing
• Constraints: NOT NULL, primary key, foreign key
• Core SQL functions: string, date/time, aggregate
• Advanced SQL functions: window and scalar functions
• Using SQL aliases for tables and columns
• SQL joins: INNER, LEFT, RIGHT, USING
• Set operators: UNION, UNION ALL, MINUS emulation
• Subqueries and advanced subqueries
• Window functions and practical use cases
• SQL views vs tables and CTEs
• Introduction to AI-assisted SQL: ChatGPT, GitHub Copilot
• AI-driven query optimization: auto-indexing, execution plans
• Leveraging AI tools for anomaly detection and performance forecasting

4. Power BI Training

In this course, you will gain expertise in data connection, cleaning, transformation, and modeling using Power Query and DAX. You’ll learn to design dynamic dashboards, reports, and visualizations that support effective business decision-making. The course also covers performance optimization with AI-driven features such as Analyze, Quick Measures, and Performance Analyzer. Additionally, you’ll leverage Power BI’s security, relationship modeling, and storytelling tools to execute real-world data analysis projects with confidence.

Learning Outcomes

• Differentiate between deep learning and machine learning approaches.
• Explore practical use cases of deep learning across industries.
• Apply forward and backward propagation in deep neural networks.
• Perform hyperparameter tuning and improve interpretability of models.
• Implement regularization techniques such as dropout and early stopping.
• Gain hands-on expertise with CNNs for vision-based tasks like object detection.

Course Curriculum

• Business Intelligence Overview & Data Analysis Foundations
• Power BI Architecture and Core Components
• Connecting to Data Sources: Excel, CSV, SQL, APIs
• Configuring data sources and selecting appropriate modeling modes
• Building Power BI data models and understanding modeling techniques
• Cleaning and shaping data with Power Query, including profiling, issue handling, and best practices
• Transforming, merging, appending, and loading data efficiently
• Applying AI-assisted data transformation for smarter enhancements
• Designing a robust data model and defining table relationships
• Managing table and column properties, cross-filtering, and date tables
• Implementing row-level security (RLS)
• Introduction to DAX: measures, aggregations, and advanced functions
• Advanced DAX techniques: CALCULATE and time intelligence
• Creating measures using Quick Measures
• Performance tuning: removing excess data, optimizing data types
• Utilizing Performance Analyzer and summarization techniques
• Creating reports and visualizations with interactive dashboards
• Enhancing usability and storytelling through effective visuals
• Leveraging AI tools to detect trends, patterns, and insights

5. RPA, Business Automation Basics and Process Mining

In this course, you will learn the fundamentals of business automation and RPA, including how bots, triggers, and workflows function. You’ll discover how to identify automation opportunities and document processes effectively using pseudo-code and flowcharts. The course also explores the business analyst’s role in RPA implementation and change management. Additionally, you’ll gain hands-on experience with process mining techniques to detect inefficiencies, delays, and compliance gaps in business processes.

Learning Outcomes

• Introduction to Business Automation and RPA
• RPA Tools and Capabilities
• Identifying RPA Opportunities
• Documenting for RPA Teams
• Collaborating in RPA Projects
• Process Mining for Business Analysts
• Monitoring Compliance and Analyzing Delays

Course Curriculum

• Understanding business automation and its importance for business analysts
• RPA basics: triggers, bots, and workflows
• Overview of common RPA tools: UiPath, Automation Anywhere, Blue Prism
• Key RPA capabilities and how to identify effective use cases
• Techniques for spotting automation opportunities across industries
• Process documentation using pseudo-code, flowcharts, and best practices
• Collaborating effectively with RPA developers and testers
• The business analyst’s role throughout the RPA lifecycle
• The importance of change management in automation projects
• Introduction to process mining and how it differs from BPM
• Identifying inefficiencies, deviations, and bottlenecks in processes
• Benefits of process mining for business analysts

6. Agile and Product Thinking

In this course, you will gain a solid understanding of Agile values, requirement types, and backlog management techniques. You’ll learn how to create user personas, write user stories, and define clear acceptance criteria. The course also teaches you to apply product and design thinking to address real-world business challenges, using tools such as Business Model Canvas, stakeholder maps, and wireframes to design effective solutions.

Learning Outcomes

• Foundations of Agile Thinking
• Discussion of Sample Diagrams, Documents, and Models
• Agile Practices and Tools
• Preparation for Practical Sessions

Topics Covered

• Understanding why product thinking matters and its impact on business outcomes
• Learning stakeholder management techniques and analyzing business context and design challenges
• Mapping the To-Be experience and managing organizational change
• Applying tools and frameworks for strategic thinking, including Design Thinking and Product Thinking for business analysts
• Creating BPMN diagrams for process modeling
• Practicing prototyping, wireframing, and visual modeling for solution design
• Using strategic tools like Business Model Canvas, Value Proposition Canvas, SWOT analysis, UML Use Case Diagrams, RACI matrices, and stakeholder mapping
• Developing proofs of concept, wireframes, and Mockups using industry tools

7. Business Analyst Capstone Project

Apply your business analysis expertise to real-world scenarios using SQL, Excel, Power BI, and Gen AI tools. Work on hands-on projects across domains such as fraud detection, patient readmission, and retail analytics to gain practical experience in data extraction, analysis, and visualization that drives informed business decisions.

Industry Projects:

• Project 1: Sales Performance Dashboard: Analyze raw sales data in Excel to create an interactive dashboard showcasing product trends and regional sales performance using formulas and visualizations.
• Project 2: Employee Performance Metrics Mapping: Extract and analyze employee data using SQL to measure performance metrics and generate insights for workforce planning and productivity improvements.
• Project 3: Data Modeling and Visualization with Power BI: Use Power BI to clean, model, and visualize business data with Power Query and DAX, creating dynamic dashboards that highlight key trends and metrics.
• Project 4: Documenting Requirements for Business Process Automation: Identify a manual business process and create a BRD with flowcharts and diagrams to define workflow, requirements, and the scope for RPA implementation.
• Project 5: Agile Process Mapping and Automation Strategy: Map current Agile workflows using BPMN and stakeholder tools to identify inefficiencies and recommend process improvements or automation strategies.
• Project 6: Credit Card Fraud Analytics: Leverage SQL, Excel, and Power BI to detect credit card fraud in real time, identify anomalies, generate alerts, and use Gen AI tools for faster insights and summaries.
• Project 7: Patient Readmission Analytics: Predict 30-day patient readmission using SQL and Excel. Build a Power BI dashboard to visualize trends, flag high-risk patients, and support timely interventions.
• Project 8: Retail Campaign Analysis and Optimization: Analyze retail transaction data using SQL, Excel, and Power BI to segment customers and predict campaign responses. Use AI tools to improve targeting and maximize ROI.

Elective Courses

Elective 1: Tableau Desktop Specialist Certification Training

The Tableau Desktop Specialist Certification Training is designed to help you advance your career in analytics by building job-ready skills. Aligned with the Tableau Desktop Specialist Certification, the course includes practice tests to prepare you for exam success. You’ll learn to prepare data, create interactive dashboards, and analyze outliers, while mastering Tableau Desktop, a globally recognized data visualization and business intelligence tool.

Elective 2: CCBA® Certification of Capability in Business Analysis

The CCBA® Certification Training equips business analysts with the essential skills required to excel in their roles. Recognized by the International Institute of Business Analysis (IIBA®), the CCBA credential validates a practitioner’s expertise according to global standards. This course is aligned with the BABOK® Guide v3 and guided by industry experts with extensive knowledge and experience. By completing this training, you’ll gain the confidence and capability to manage more complex projects within your organization.

Elective 3: Essentials of Generative AI, Prompt Engineering & ChatGPT

Explore the fundamentals of AI and generative AI, including the principles behind explainable AI. Learn to use prompt engineering to improve generative AI performance and understand the inner workings, features, and limitations of ChatGPT. Discover a wide range of ChatGPT applications and gain insights into the future opportunities and challenges of generative AI.

Elective 4: Microsoft Azure Data Fundamentals

Learn to identify different data formats and store data efficiently in files and databases. Gain skills in data normalization and executing SQL statements, as well as using relational database objects. Work with Azure Blob Storage and Azure Cosmos DB, and implement data ingestion pipelines. Explore Azure Synapse Analytics to create reporting solutions with Power BI, develop analytical data models, and visualize data effectively for informed decision-making.

FAQ

What is the format of the program?

The programmes are entirely distance learning. Parts are practical e-learning courses that you can complete when you have time and at your own pace, and there are also online classroom sessions via our advanced professional distance learning system. We have a range of time slots to choose from and we always record the sessions so you can listen to them if you miss anything or want to review information. Watching class recordings is also equal to attendance. There is always someone on hand to help and support you if you have any questions about the skills you are learning.

When can I take the live online courses?

The timing of each course varies for different groups. You will be given access to a dashboard for 1 year access with several different cohorts and schedules for each course. You decide which date and time works best for you. Some are scheduled for weekday afternoons, while others are scheduled for weekend afternoons or evenings. Scheduling is based on factors such as the number of interested participants and the availability of trainers. If you miss a session, you can always watch recordings of that session. You will never miss out!

What is a business analyst course?

A business analyst course teaches you how to evaluate business processes, identify areas for improvement, and develop data-driven solutions to enhance organizational efficiency. These courses emphasize essential skills such as critical thinking, problem-solving, analytical reasoning, communication, and data analysis. Through structured training, learners gain hands-on experience with industry-standard tools and frameworks, blending theory with practical application. Whether you are launching your career or upskilling, this training provides a strong foundation to tackle real-world business challenges and supports long-term growth in the analytics and business analysis domain.

Who can do the course?

There are no strict educational prerequisites for enrolling in a business analyst course—anyone with an interest in working with data can participate. Professionals from diverse fields such as business, finance, IT, and investment banking can benefit, whether they are entering the business analysis field or aiming for senior roles within their industry. This training is designed to build practical skills and strategic thinking, making it suitable for both beginners and experienced professionals looking to transition into or advance within analytics-driven roles.

Who are the instructors?

The instructors for our business analyst training program are highly qualified professionals with extensive industry experience. Each trainer undergoes a rigorous selection process, including screening, technical evaluations, and training demonstrations before joining our faculty. We maintain high standards for our business analytics courses, and trainers with consistently strong alumni ratings continue to be part of our teaching team, ensuring that learners benefit from expert guidance and industry-relevant insights.

What is BABOK®?

The BABOK® (Business Analysis Body of Knowledge) is a globally recognized guide that helps business analysts identify the essential skills, tasks, and techniques needed to solve business problems and enhance organizational efficiency through data. It outlines six core knowledge areas: Business Analysis Planning and Monitoring, Elicitation and Collaboration, Requirements Life Cycle Management, Strategy Analysis, Requirements Analysis and Design Definition (RADD), and Solution Evaluation.

What are the key skills needed for business analysts?

A successful business analyst combines technical (hard) skills with strong soft skills. In this Business Analyst course, you can develop technical expertise in Microsoft Excel, Tableau for data visualization, SQL databases, Python programming, data analysis, and documentation such as BRD, FRS, and SRS. You’ll also learn requirements life cycle management, business process mapping, wireframing, and statistics. On the soft skills side, the course enhances communication, cross-team collaboration, stakeholder management, problem-solving, and analytical thinking, enabling you to effectively bridge business needs and technical solutions.

What future trends should I pay attention to as an aspiring business analyst?

With technology evolving rapidly, it is essential for business analytics professionals to stay updated on the latest skills, tools, and techniques. Artificial intelligence is increasingly used to streamline business planning, processes, and analytics, enabling faster and more effective outcomes. This hands-on Business Analytics Certification Training equips learners with practical knowledge and insights on leveraging generative AI tools such as ChatGPT, Gemini, Midjourney, and DALL·E to optimize systems, enhance processes, and achieve improved efficiency.