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Buisness Analytics

Employability for Business Analyst job

Welcome to " Business Analyst," a course designed for professionals who want to master the crucial role of bridging business needs and technology solutions. In today's fast-paced environment, a skilled Business Analyst is essential for ensuring projects deliver real value. This course will equip you with the fundamental skills to gather requirements, analyze data, and facilitate communication, making you an indispensable asset to any project team.

Job Role Responsibilities
  • Elicit and Document Requirements: Master techniques for gathering needs from stakeholders and translating them into clear documentation (e.g., user stories, business requirements).
  • Analyze and Model Processes: Learn to analyze current business processes and design improvements using modeling techniques like process flow diagrams.
  • Communicate and Collaborate: Act as the primary liaison between business and technical teams, ensuring all parties are aligned.
  • Support Project Delivery: Assist in the testing and implementation of solutions to ensure they meet the initial business needs.
What you'll learn from recap modules
  • Gather and document business requirements effectively.
  • Analyze and improve existing business processes.
  • Communicate complex information clearly to both technical and non-technical stakeholders.
  • Create essential artifacts like user stories, business requirements, and process models.
  • Act as a critical link between a project team and business stakeholders.
How you'll prepare for job

beXpert, AI-powered platform offers a complete, self-paced solution for Business Analyst job role. Comprehensive training videos, AI tutoring and AI mock interviews, industry-specific practice tests and performance analytics help you to prepare for the job well.

Certification

Your job skill certificate as a Business Analyst will be awarded to you upon successfully passing the multiple-choice question (MCQ) test. If you don't pass on your first attempt, you will have the opportunity to retake the test.

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  • Introduction to Business Analytics
  • Problem Formulation for Data Analytics
  • Evolution of Machines
  • What is Artificial Intelligence?
  • Machine Learning Techniques
  • Data Fundamentals and Measurement Scales
  • Data Dichotomies
  • Introduction to Data Types
  • Data Preprocessing for Analytics
  • Data Validation
  • Finding the Missing Values from data
  • Handling Missing Values
  • Introduction to Probability
  • Introduction to Normal Distribution
  • Sample Vs. Population
  • Statistical Inference
  • Hypothesis Testing Fundamentals
  • Types of Error
  • Hypothesis Testing- Single & Two Tailed Test
  • Introduction to Decision Trees
  • How Decision Trees Work
  • Criteria for Splitting
  • Making Predictions
  • Applications of Decision Trees in Predictive Analytics
  • The Process of Building a Regression Tree
  • Covariance and Correlation Fundamentals
  • Moving Averages Fundamentals
  • Regression Analysis
  • Types of Regression Analysis & its Applications
  • ML Approach in Business Analytics
  • Multiple Regression Fundamentals
  • Heteroscedasticity & Multicollinearity
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