Introduction of SDLC | Need of a BA in SDLC | Phases of SDLC | “SDLC Methods | Waterfall Model and Agile, Scrum |  Iterative and Incremental |V Model and Spiral Model” |”SDLC Pre-requisites and Activities | Common Criteria and Deliverables” | Software Maintenance lifecycle model |Software testing lifecycle model

What are requirements? And Characteristics of Requirements | Types of Requirements |Business Requirements | User Requirements and System Requirements | Functional Requirements and Non-Functional Requirements Implementation Requirement and UI Requirements

Initial Exploration | Form Business Requirements | Provide Solution to satisfy BusinessRequirements | Create Functional Specifications/Use Cases | Validate Requirements with Customer | Form SRS and Seek Approval | Requirements Framework

Sources of Requirement Elicitation | Skills for Requirement Elicitation | Stakeholder Identification | Surveys and Questionnaire | Interviewing and Focus Group Interviews | Brainstorming and Reverse Engineering | Prototyping and Wire Frames | JAD – Joint Application Development | Observation and Task Analysis | Domain Analysis and Persona Challenges in Requirement Elicitation

How to write Business Requirement document? | How to write Software Requirement specification | Introduction to Software Requirement Specification | Understanding SRS syntax with IEEE Standards | What are Use Case and Use Case Narrative? | Relationship between Use Cases | How to write Use Cases? | Use Case Narrative Flows – Primary Flow Alternative Flow, | Exceptional Flow|Activity Diagram,Class Diagram, E-R Model, Sequence Diagram, State Diagram, Collaboration Diagram

Business Process of existing system | GAP Analysis – PIECES Framework | Domain Properties and Stakeholders | Feasibility Study | Evaluation of Alternatives using Cost –Benefits Analysis

Use case Description and Use Case Diagram | Activity Diagram | What are Use Case and Use Case Narrative? |Relationship between Use Cases | How to write Use Cases? | Use Case Narrative Flows – Primary Flow, Alternative Flow, Exceptional Flow | Pre-condition, Post-condition, Exception handling and Triggers

Sequence Diagram | Class Diagram | Software Requirement Specification

RTM – Requirements Traceability Matrix | Requirements Change Management |Requirements Risk Management | Impact Analysis

Different dimensions of scope | Managing Scope at different stages of the Project Product Scope and Project Scope | Issues in scope management | Measurement of
Scope and Metrics

Steps in Risk Management | Risk Identification | Risk Analysis and Prioritization Risk Response – Strategy, Actions & Response Owners | Risk Monitoring and Control | Risk Management Documents

Introduction to Estimation | The Importance of Estimation | What is Estimation? | The Estimation Process Overview | Problems with Estimations | Estimation Techniques

Importance of CEM | Traditional and modern view | Understanding Customer and Managing Expectations | Issues in Customer Expectation Management | Handling
Dicult Situations | Expectation Management Life-Cycle

Quality Management System | Concept of Quality | Metrics and Measurements | Defect Prevention | Defect analysis tools and techniques

Communication: Introduction | Email Communication | Teleconference and Meetings | Assertiveness and Scenarios

Understanding IT project hierarchy | Project Charter and Requirements Process | RACI Matrix and Requirements Planning | Work Efforts & Estimations | Managing Requirements BA’s plan to feed into Project Plan

Define Prototyping and Importance of prototyping | Types of Prototyping | Prototyping as methodology | User Interface Prototyping |Advantage and Disadvantages of Prototyping

Business Requirement Document (BRD) | Use case document (USD) | Software Requirement Specification Document (SRS) | Change Request Process Document | Functional Requirement Specification (FSD) | Business Process Questionnaire Document Project Requirement Management and development process Document | Scope management Document | Requirement Traceability matrix document

Use Case Diagram and Class Diagram | Sequence Diagram and Collaboration Diagram |Activity Diagram and State Diagram

Rational Requisite Pro | Microsoft Visio – UML Tool | Team Foundation Server (TFS) |JIRA – Agile Tool | SVN – Configuration Management Tool | Axure – Prototype Tool

The Product Backlog Creation | High-level Project and Process Plan | Sprint Planning Meeting | The Sprint and Daily Scrum Meetings | Sprint Review Meeting | Sprint Retrospective | Next Sprint and Repeat | Post-Sprint Functional Testing by PO | PrereleaseTesting prior to Release to Customer | Release to Customer

Requirement Development Process – For New Development Project | Requirement Management Process – For Maintenance Project | Change Request (CR) Process

What is Project Management? | Project Management Phases | Project Management Knowledge Areas | Project Management Tools

BABOK Introduction | BABOK Knowledge Areas | Business Analysis Planning | Enterprise Analysis | Requirement Elicitation | Requirement Analysis | Solution Assessment and Validation | Requirement Management and Communication

Agile Perspectives | Business Intelligence Perspectives | Information Technology Perspectives | Business Architecture Perspectives | Business Process Management
Perspectives

Data Analytics across Domains | What is Analytics? | Types of Analytics | AI vs ML vs DL vs DS

Introduction to statistics and Central Limit Theorem | Measures of Central Tendancies and Measures of Spread | Descriptive Statistics with Real Time Examples | Measuring Scales | Inferential Statistics with Real Time Examples

Hypothesis Testing and Goodness of Fit test | Introduction to Statistical Tests | Statistical Test with Real Time Example | Analysis of Variance(ANOVA) & Analysis of Covariance (ANCOVA) | Probability Theory for Data Analytics | Types of Probability Distribution

Python Intro,IDE and Python Packages | Python Programming | Python Data Types – Dictionary, List and Set

Numpy Packages – Array Handling and Manupulation | Pandas Packages – Dataframe and Loading Excel, CSV File | Matplotlib Packages – Line graph and Visualisation

Histogram, Scatter Diagram, Box Plot and Bar Graph, Area Chart, Dual Axis, Array reshaping, reverse matrix, analysis

Python – Operators and String Manupulation | Control Structures(IF,IF-ELSE,IF-ELIF-ELSE, WHILE & FOR LOOP)

Python – Data Preparation Process | Python – Functions WITH and WITHOUT arguments Python – File Processing and Data Collection Methods

Python – Time Series Analysis and Forcasting | Python – Simple Predictive Analysis

Data Science with Python | Data Science Application across Multiple Domain and Business Function | Data Science Project LifeCycle

Multiple Predictive Model using Python | Python – Simple and Multiple Predictive Model in Practical | Python Correlation Analysis | Python Classifcation Model Building

Data Science – Experimental Design Analysis | Classifcation Technique – Discriminant Analysis | Data Science – Association Rule – Apriori Algorithm | Data Science – Building Recommendation System – (Market Basket Analysis)

Data Architecture Design, Data Warehousing and it’s Schema Design |Image Processing and Image Extraction | Image Processing and Object Recognition | Summarisation of Data Science Algorithm (Data Science Process)

Machine Learning Introduction

Linear Regression | Logistics Regression | ANOVA and ANCOVA | Linear Discriminant Analysis

Naïve Bayes | K-Nearest Neighbour | SVM- Support Vector Machine | -Decision Tree and Random Forest

Factor Analysis | Cluster Analysis | Association Rule | Correlation

Time Series Analysis

Basics of NLP | NLP- tolinisation | Removing Stop Words | Stemming & lemmatization | Parts of speech tagging | TFIDF vectorizer | Bag of words | Senmiment Analysis

Text Classification with Linear Models | Language Modelling with Probabilistic Graphical Models and Neural Networks | Word Embeddings and Topic Models | Machine Translation and Sequence-To-Sequence Models

NLP-Speech-Recognition-and-Text-to-Speech

Introduction to Reinforcement Learning | Model-Based Reinforcement Learning (Dynamic Programming)Model-Free Reinforcement Learning (SARSA, Monte Carlo, QLearning) | Approximate and Deep Reinforcement Learning (Deep Q- Learning) | Policy Gradient Reinforcement Learning | Advanced Topics on Exploration and Planning

Power BI Services | Advantages of Visual analytics 

Installation Process of Power BI Desktop and Getting Familiar with Interface

Filters | Splitting Columns | Groups| Merging | Conditional Columns 

Cardinality | Cross Filters | DAX Functions

Different Types of Visual Features | Drill Down | Formatting Visuals 

How to Export Desktop Reports to Cloud Service and Explore my Workspace, Sharing with Others.