Course

Advanced Business Analytics

University of Colorado Boulder

The Advanced Business Analytics Specialization offers a comprehensive curriculum designed to impart real-world data analytics skills to learners, empowering them to drive business growth, enhance profitability, and deliver maximum shareholder value.

Throughout the program, participants will gain practical skills in manipulating and extracting data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.

  • Describe the information lifecycle and the types of events used in business analytics
  • Gain familiarity with relational databases and SQL for data extraction
  • Apply exploratory data analysis and predictive modeling techniques
  • Implement optimization techniques for complex business problems
  • Evaluate communication methods for conveying analytics results to non-technical audiences

The program culminates in a capstone project where participants create a compelling presentation showcasing impactful insights from the analytics project, design predictive analytics models for loan classification and loss prediction, and devise investment fund allocation recommendations based on clustering and simulation-based optimization techniques.

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Advanced Business Analytics
Course Modules

The Advanced Business Analytics Specialization comprises modules covering data analytics for business, predictive modeling, decision making, communication of analytics results, and an advanced capstone project.

Introduction to Data Analytics for Business

Module 1: Introduction to Data Analytics for Business

  • Describe the information lifecycle and types of events in business analytics
  • Familiarize with relational databases and use SQL for data extraction

Predictive Modeling and Analytics

Module 2: Predictive Modeling and Analytics

  • Apply exploratory data analysis and prepare data for predictive modeling
  • Identify modeling techniques for prediction of continuous and discrete outcomes

Business Analytics for Decision Making

Module 3: Business Analytics for Decision Making

  • Implement optimization techniques for complex business problems
  • Identify optimal solutions and judge the appropriateness of optimization techniques

Communicating Business Analytics Results

Module 4: Communicating Business Analytics Results

  • Evaluate communication methods for conveying analytics results to non-technical audiences

Advanced Business Analytics Capstone

Module 5: Advanced Business Analytics Capstone

  • Create a compelling presentation showcasing impactful insights from the analytics project
  • Design predictive analytics models for loan classification and loss prediction
  • Devise investment fund allocation recommendations based on clustering and simulation-based optimization techniques
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