Courses Descriptions
Business analytics involves using data analysis, statistical models, and predictive techniques to gain insights, optimize decision-making, and drive business growth.
• Overview of Business Analytics
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Overview of Business Analytics
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Importance of Data-Driven Decision-Making
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Key Applications in Different Industries
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Types of Business Analytics (Descriptive, Predictive, Prescriptive)
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Understanding Data Types and Sources
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Data Collection and Cleaning Techniques
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Data Storage and Management (Databases, Cloud Solutions)
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Introduction to SQL for Data Extraction
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Data Visualization Techniques
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Identifying Trends and Patterns
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Statistical Methods for Data Analysis
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Tools for Exploratory Data Analysis (EDA) – Excel, Tableau, Power BI, Python
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Introduction to Statistical Measures (Mean, Median, Mode, Variance
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Business Performance Metrics and KPIs
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Case Studies in Descriptive Analytics
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Introduction to Predictive Modeling
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Regression Analysis and Forecasting
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Machine Learning Basics for Business Analytics
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Tools for Predictive Analytics (Python, R, AI-Based Platforms)
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Optimization Techniques in Business Analytics
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Simulation and Scenario Analysis
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Decision Trees and AI-driven Decision Support Systems
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Case Studies in Prescriptive Analytics
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Dashboard Design and Reporting Best Practices
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Data Storytelling for Decision-Making
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Tools for Business Intelligence (Power BI, Tableau)
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Building a Data-Driven Culture
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Ethical Considerations and Data Privacy
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Challenges and Best Practices in Business Analytics
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Hands-on Business Analytics Project
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Data Analysis Report and Presentation
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Final Assessment and Certification
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