The bootcamp is designed for professionals, recent graduates, and individuals seeking to enhance their business competencies and advance their careers. Participants should have a basic understanding of business concepts and terminology.

• Basic knowledge of business principles and terminology
• Familiarity with Microsoft Office suite (Word, Excel, PowerPoint)
• Strong desire to enhance analytical, problem-solving, and decision-making skills

High Level Curriculum:

Building the Foundation

• Introduction to Business Competency Bootcamp
• Understanding Analytical Thinking
• Root Cause Analysis Techniques
• Introduction to Business Acumen
• Business Intelligence and Data Visualization Tools

Empowering Business Insights

• Advanced Statistical Analysis for Decision Making
• Introduction to Business Analytics
• Data Collection and Preparation Techniques
• Consulting Skills and Client Relationship Building

Effective Communication and Customer Focus

• Effective Communications in Business
• Decision-Making Process and Critical Thinking Strategies
• Addressing Customer Needs and Customer-Centric Approaches
• Business Assessment and Opportunity Evaluation

Harnessing Business Data and Processes

• Business Data Analysis Techniques
• Information Capture and Document Management
• Modeling: Data, Process, Events, Objects
• Process Management and Business Process Improvement

Strategies for Success

• Requirements Analysis and Gathering
• Software Product Business Knowledge and Market Analysis
• Introduction to Project Management
• Workflow Analysis and Automation

Navigating Compliance and Risk

• Anti-money Laundering/Sanctions Policies and Procedures
• Business Ethics and Ethical Decision Making
• Fraud Detection and Prevention Strategies
• Operational Risk Management

Problem-Solving and Operational Efficiency

• Problem Solving Approaches and Tools
• Standard Operating Procedures and Business Process Documentation
• Applying Business Analytics in Decision Making
• Communication in Consultancy and Effective Client Presentations

Culmination and Future Success

• Capstone Project: Applying Competencies to Real-World Scenarios
• Review and Assessment of Competency Learning
• Closing Ceremony and Certificate Distribution

Please note that the curriculum is designed to provide a comprehensive overview of the topics covered in the Bootcamp. The actual content and specific tools used may vary based on the expertise of the instructors and the latest industry trends.

Learning Topics:

SDLC (Software Development Life Cycle)

• Software Engineering – Intro
• SDLC
• Various phases in detail
• Models
• Waterfall
• Spiral
• Prototyping
• Agile
• Software metrics (Size, FP)

Agile Scrum Methodology

• Scrum Introduction
• Scrum Team
• Scrum Artifacts
• Sprint Increment
• Spring planning
• Backlog
• Retrospective
• Project description and Case Study
• Practice exam and Knowledge check
• Certification (optional)

Business Analyst Competency

• Introduction to Business Analysis:
  • Understanding the role of a business analyst
  • Key responsibilities and tasks of a business analyst
  • The value of business analysis in different industries
• Requirements Gathering and Elicitation:
  • Techniques for gathering business requirements
  • Conducting stakeholder interviews and workshops
  • Documenting and managing requirements effectively
• Business Process Analysis:
  • Understanding and mapping business processes
  • Identifying process improvements and optimizations
  • Analyzing process efficiency and effectiveness
• Project Management for Business Analysts:
  • Basics of project management methodologies (e.g., Agile, Waterfall)
  • Collaborating with project teams and stakeholders
  • Managing project scope and handling change requests
• Systems and Software Analysis:
  • Analyzing existing systems and software
  • Identifying gaps and opportunities for improvement
  • Participating in the selection and implementation of new systems
• Use Case Development:
  • Creating use cases and user stories
  • Defining functional and non-functional requirements
  • Prioritizing and managing requirements in a dynamic environment
• Business Analysis Tools:
  • Introduction to popular business analysis tools (e.g., JIRA, Confluence, Microsoft Visio)
  • Utilizing tools for requirement management and collaboration

SQL Essentials

• SQL Fundamentals
• Writing SQL Queries
• Working Tables and Indexes
• Predefined SQL functions

• Uses for SQL
• A/C/I/D
• Data Models
• Database Terminology
• Normalization
• First, Second & Third Normal Forms
• ANSI SQL
• Standardization & SQL Dialects
• DDL, DML, DTL, DQL, and DCL
• Data Integrity
• Types of Integrity
• Constraints
• Data Types
• Triggers
• What are Joins?
• Join Syntax
• Join Predicates
• Types of Joins
• The ‘using’ keyword

Descriptive Statistics Fundamentals

• Central Tendency
  • Mean
  • Median
  • Mode
• Spread of the Data
  • Variance
  • Standard Deviation
  • Range
• Relative Standing
  • Percentile
  • Quartile
  • Inter-quartile Range

Inferential Statistics Fundamentals

• Inferential Statistics
  • Normal Distribution
  • Central Limit Theorem
  • Standard Error
  • Confidence Intervals
  • Other Distributions
  • Samples
  • Hypothesis Testing
• Perform statistical analysis on a given data set.

Data Exploration and Preparation

• Data Exploration
  • Describe
  • Merging
  • Grouping
  • Evaluating Features
• Data Visualization
  • Line Chart
  • Scatterplot
  • Pairplot
  • Histogram
  • Density Plot
  • Bar Chart
  • Boxplot
  • Customizing Charts
• Perform Exploratory Data Analysis
• Data Cleaning
  • Dropping Rows
  • Imputing Missing Values
  • Feature Evaluating

Data Storytelling

• Drafting the Story
• Information Hierarchy
• Story telling
• Visual Presentation
• Interactivity

Data Visualization using Tableau

• Data Analysis lifecycle and Tableau’s role in the data analysis world
• Introduction to Tableau tool
• Features and Functionalities of Tableau
• Connection to excel datasheet work on Union and Joins
• Connection to excel datasheet to create our first graph
• Perform Sorting, Filtering, Grouping of the data in the report
• Utilize the Marks card and Pages card in the visualization area
• Use Aggregate Measures / create trend lines / discuss the data plot in the report
• Create multiple graphs based on the data and requirement of the scenarios
• Create a dashboard with multiple graphs / reports included in
• Create our own story in a way to present to executives / senior managers
• Connect to additional data source and switch the session while doing hands on
• Perform all the above operations with the trainer during the session
• Hands-on exercise 1 – Create Bar / Line / Trend / Pie graphs during training
• Hands-on exercise 2 – Create Dashboards in Tableau, explore presentation and share options
• Hands-on exercise 3 – Create Story to present in Tableau

Generative AI Essentials

• Introduction to Generative AI
• Prompt Engineering
• Do’s and Don’ts of Generative AI
• Applications of Generative AI

Navigating Compliance and Risk

• Anti-Money Laundering (AML) and Sanctions Policies:
  • Understanding AML and its importance in the financial industry
  • Recognizing the risks and consequences of money laundering
  • Overview of international sanctions and their implications
• Regulatory Framework and Compliance Requirements:
  • Familiarization with key financial regulations and compliance standards
  • Compliance requirements for financial institutions and businesses
  • Role of compliance officers and compliance departments
• KYC (Know Your Customer) and Customer Due Diligence:
  • Importance of KYC procedures in customer onboarding
  • Conducting customer due diligence to assess risk levels
  • Identifying red flags and suspicious activities
• Transaction Monitoring and Suspicious Activity Reporting:
  • Implementing transaction monitoring systems for suspicious patterns
  • Understanding the process of filing Suspicious Activity Reports (SARs)
  • Compliance responsibilities in reporting suspicious activities
• Risk Assessment and Risk Management:
  • Conducting risk assessments to identify potential vulnerabilities
  • Evaluating risk exposure in different business operations
  • Developing risk management strategies and controls
• Fraud Detection and Prevention:
  • Techniques for detecting fraudulent activities
  • Fraud prevention strategies and best practices
  • Role of technology in fraud detection and prevention
• Operational Risk Management:
  • Identifying operational risk factors in business processes
  • Strategies to mitigate and manage operational risks
  • Incident response and business continuity planning
• Compliance Audits and Internal Controls:
  • Importance of compliance audits in ensuring adherence to regulations
  • Establishing effective internal controls to minimize risks
  • Role of internal auditors in evaluating compliance effectiveness
• Compliance Training and Education:
  • Importance of continuous compliance training for employees
  • Creating a culture of compliance and ethical behavior
  • Role of awareness programs in preventing compliance breaches
• Whistleblower Programs and Reporting Channels:
  • Understanding the significance of whistleblower programs
  • Designing effective reporting channels for internal reporting
  • Protection and confidentiality measures for whistleblowers
• Ethical Decision Making in Risk Management:
  • Ethical considerations in risk management and compliance
  • Applying ethical principles in decision-making processes
  • Balancing business interests with ethical responsibilities
• Evolving Regulatory Landscape and Future Trends:
  • Staying updated with changes in regulatory requirements
  • Anticipating future trends in compliance and risk management
  • Implementing proactive measures for regulatory compliance

Capstone Project & Use Case

• Project Overview
• Complete projects to get experience and practice
• Presentation of project findings and Insights
• Industry Use Case Studies

Certification (Optional)

• Certification Overview
• Identify the right certification for you
• Tips to prepare for certification