Introduction to Business Analytics Course | IABAC

Introduction to Business Analytics Course | IABAC

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  Introduction to Business AnalyticsCourse www.iabac.org
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  Content 1. Fundamentals ofBusiness Analytics 2. Tools and Techniques 3. Application and Impact www.iabac.org
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  Understanding Business Analytics Definitionand Scope Key Concepts Real-world Examples Business analytics involves the use of data, statistical analysis, and predictive modeling to drive informed business decisions. Descriptive, diagnostic, predictive, and prescriptive analytics form the core concepts of business analytics. Case studies of companies leveraging business analytics for strategic decision-making. Fundamentals of Business Analytics www.iabac.org
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  Importance of BusinessAnalytics Decision Support Competitive Advantage Career Opportunities Business analytics provides insights for optimizing operations, identifying trends, and mitigating risks. How businesses gain a competitive edge through data-driven strategies and market insights. Exploring the diverse career paths and opportunities in the field of business analytics. www.iabac.org
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  01 02 03 Ethicaland Legal Considerations Data Privacy and Security Regulatory Compliance Case Studies The importance of ethical data handling and safeguarding sensitive information. Understanding the legal frameworks and industry standards governing data usage and analytics. Instances of ethical and legal implications in business analytics and their impact. www.iabac.org
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  Data Visualization andInterpretation Visual Representation Tools like Tableau Interactive Session Exploring the significance of visualizing data for effective communication and analysis. Introduction to Tableau and its role in creating interactive and insightful visualizations. Engaging activities to demonstrate the power of data visualization tools. Tools and Techniques www.iabac.org
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  Statistical Analysis andModeling Statistical Methods Predictive Modeling Hands-on Practice An overview of statistical techniques used for analyzing and interpreting data patterns. Understanding the process of building predictive models for forecasting and decision support. Interactive exercises using statistical tools and modeling software. www.iabac.org
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  01 02 03 DataMining and Machine Learning Data Extraction and Exploration Machine Learning Algorithms Use Cases Techniques for extracting valuable insights from large datasets through data mining. Introduction to machine learning and its applications in business analytics. Examples of data mining and machine learning applications in real-world scenarios. www.iabac.org
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  Business Analytics inIndustry Industry Adoption Examining how various industries utilize business analytics for strategic planning and performance improvement. Future Trends Anticipated developments and innovations in the application of business analytics across industries. Application and Impact www.iabac.org
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  Business Analytics forDecision-making Strategic Decision Support Risk Management Interactive Scenario Analysis How business analytics aids in making informed decisions for growth and sustainability. Leveraging analytics to identify and mitigate potential risks in business operations. Engaging students in a decision-making exercise using business analytics insights. www.iabac.org
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  01 02 03 CareerPathways in Business Analytics Roles and Responsibilities Skill Development Professional Development Exploring the diverse roles such as data analyst, business intelligence analyst, and data scientist. Key skills and competencies required for a successful career in business analytics. Opportunities for further education and certification in the field of business analytics. www.iabac.org
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  Thank you www.iabac.org