Business Analytics

Professional Training Syllabus

  • Total Duration: 120 Hours

  • Training Type: Theory + Hands-on Practice + Projects

  • Level: Beginner to Intermediate

  • Mode: Classroom / Online (Instructor-Led)

  • Tools Covered: Excel, SQL, Power BI, Business Analytics Frameworks

Programme Overview

The Business Analytics training program is designed to help learners understand how data is used to improve business performance and decision-making. The syllabus focuses on analytical thinking, business problem-solving, data interpretation, and visualization using industry-relevant tools.

Course Objective

The objective of the Business Analytics course is to equip learners with the skills required to understand business problems and use data to support better decision-making. The course focuses on analytical thinking, business understanding, and the practical use of data through tools such as Excel, SQL, and Power BI.

This program helps learners convert data into meaningful insights, understand key business metrics, and present analytical findings clearly to stakeholders. By the end of the course, students are prepared to support business decisions across different functions and industries.

Course Overview

The Business Analytics course is designed to bridge the gap between data and business strategy. It covers the complete analytics journey, starting from understanding business requirements to analyzing data, creating dashboards, and presenting insights that drive business outcomes.

Learners gain hands-on experience with real-world datasets, business case studies, and industry-relevant tools. The training emphasizes practical learning, problem-solving, and communication skills, making it suitable for students, working professionals, and career switchers aiming for business-focused analytics roles.

What You Learn

  • Understand business problems and convert them into analytical requirements

  • Use Excel to analyze data and create business reports

  • Write SQL queries to extract and analyze business data

  • Build interactive dashboards and KPI reports using Power BI

  • Apply basic statistical concepts to support business decisions

  • Analyze sales, marketing, finance, and operations data

  • Present data insights clearly to support management and stakeholders

Learning Outcomes

After completing the Business Analytics course, learners will be able to:

  • Understand business problems and translate them into analytical solutions

  • Analyze business data using Excel and SQL

  • Create dashboards and KPI reports using Power BI

  • Interpret data to support strategic and operational decisions

  • Apply basic statistical concepts in business scenarios

  • Communicate insights clearly to management and stakeholders

  • Support data-driven decision-making across business functions

MAHIRA EDGE Advantage

Mahira Edge provides industry-focused training that combines business understanding with practical analytics skills. Our courses are designed to align with real-world business requirements and current industry tools.

Learners benefit from experienced trainers, hands-on projects, and real business case studies. At Mahira Edge, we emphasize practical learning, clear communication, and career readiness through continuous guidance, doubt-solving sessions, and interview preparation support.

Detailed Syllabus – Business Analytics

Module 1: Introduction to Business Analytics
  • What is Business Analytics
  • Role of a Business Analyst
  • Types of analytics (Descriptive, Diagnostic, Predictive, Prescriptive)
  • Business analytics lifecycle
Module 2: Business Understanding & Problem Framing
  • Understanding business objectives
  • Identifying business problems
  • Translating business needs into analytical requirements
  • Stakeholder communication basics
Module 3: Excel for Business Analytics
  • Advanced Excel functions
  • Data cleaning and preparation
  • Pivot tables and charts
  • MIS and management dashboards
  • Business reporting techniques
Module 4: SQL for Business Analysis
  • Database fundamentals
  • Writing SQL queries for analysis
  • Joins, filters, and aggregations
  • Business-focused SQL use cases
Module 5: Data Visualization & Power BI
  • Importance of data visualization in business
  • Designing effective dashboards
  • Power BI basics
  • KPI and performance dashboards
  • Data storytelling for decision-making
Module 6: Statistical Concepts for Business
  • Basic statistics for analytics
  • Trend analysis and forecasting basics
  • Interpreting analytical results
  • Data-driven decision support
Module 7: Business Case Studies
  • Sales and revenue analysis
  • Customer and marketing analysis
  • Operations and performance analysis
  • Finance and MIS use cases
Module 8: Real-World Projects
  • End-to-end business analytics project
  • Working with real datasets
  • Presentation of insights and recommendations
  • Business-focused reporting
Module 9: Career & Interview Preparation
  • Business Analyst interview questions
  • Resume building and project explanation
  • Mock interviews
  • Career guidance and role mapping