Buisness Analytics Professional Certificate
Course provided by Model Institute of Engineering & Technology
5 modules
Explore the Buisness Analytics
4-4.5 Level NCrF
National Credit Framework
6 Months
Flexible Learning
Intermediate Level
Certificate Diploma Course
12 Credits
Course Overview
This course takes learners from the fundamentals of business analytics to advanced techniques in data-driven decision making and business intelligence. Beginning with core concepts in data analysis, statistics, and business metrics, students progress to hands-on analysis using Excel, SQL, Python, and Power BI. The program concludes with real-world business case analysis, ethical data practices, and a capstone project delivering industry-ready analytical insights for strategic business decisions.
Key Learning Highlights
Hands-on business analytics using Excel, SQL, Python, and business intelligence tools
Practical application of analytics to domains such as marketing, finance, operations, and regional enterprises
Design and development of analytical reports, dashboards, and data-driven decision frameworks
Skill-focused workshops on data visualization, statistical analysis, and business intelligence workflows
Building predictive and descriptive analytics models to support real-world business strategy and performance improvement
Career preparation for roles such as Business Analyst, Data Analyst, Business Intelligence Analyst, and Analytics Executive
Learning Outcome
Develop and execute data-driven business analysis using Excel, SQL, Python, and business intelligence tools
Design and implement analytical strategies supported by dashboards, reports, and performance metrics
Apply business analytics techniques to region-specific sectors such as tourism, education, MSMEs, and local enterprises
Optimize business processes and decision-making workflows using statistical analysis and analytics best practices
Build and manage analytical models, data pipelines, and insight-driven reporting frameworks
Demonstrate industry-ready skills for roles such as Business Analyst, Data Analyst, Business Intelligence Analyst, and Analytics Executive
Master the course with just 6 Modules
This course takes students from the fundamentals of business analytics to advanced techniques in data-driven decision making and performance optimization. Beginning with core concepts such as data analysis, business metrics, and statistical foundations, students progress to hands-on analysis using Excel, SQL, Python, and business intelligence dashboards. The learning journey concludes with real-world business case analysis, ethical data practices, and a capstone project that delivers actionable insights and industry-ready analytics solutions for informed business decisions.
Fundamentals of Business Analytics
Understand the role of analytics in modern business decision-making
Learn core concepts of descriptive, diagnostic, predictive, and prescriptive analytics
Explore data types, business metrics, KPIs, and data-driven thinking
Data Analysis with Excel & SQL
Understand the role of analytics in modern business decision-making
Learn core concepts of descriptive, diagnostic, predictive, and prescriptive analytics
Explore data types, business metrics, KPIs, and data-driven thinking
Statistics & Business Data Modeling
Learn statistical concepts including probability, distributions, hypothesis testing, and correlation
Apply statistical techniques to business problems
Build analytical models to support forecasting and trend analysis
Data Visualization & Business Intelligence
Design interactive dashboards using Power BI
Visualize business performance metrics and trends
Communicate insights effectively to stakeholders using data storytelling techniques
Predictive Analytics & Decision Support
Apply predictive analytics techniques using Python
Build regression and classification models for business use cases
Use analytics to support strategic planning and operational decisions
Deploying Analytics Solutions
Apply analytics to real-world business scenarios across domains such as marketing, finance, operations, and supply chain
Work on live case studies and industry datasets
Complete a capstone project focused on delivering actionable business insights
Roles
Business Analyst
Data Analyst
Business Intelligence Analyst
Analytics Executive
Operations Analyst
Marketing Analytics Analyst
Strategy & Insights Analyst
