Course / Course Details

Business Analytics & Data-Driven Decision Making

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    By - Super admin

  • N/A

Eligibility Requirements

Successful completion of Semester 1 courses.

Course Description

Trains students in statistical modeling, business intelligence tools, predictive analytics, and executive decision science.

Course Learning Outcomes

    • Transform raw business data into actionable executive insights using data visualization tools.
    • Apply descriptive, predictive, and prescriptive analytics models to solve business problems.
    • Conduct regression analysis, forecasting, and decision-tree analysis.
    • Evaluate data privacy standards and ethical analytics protocols.

Course Curriculum

  • 15 chapters
  • 15 lectures
  • 0 quizzes
  • N/A total length
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1 introduction
10 Min

Foundations of Business Analytics & Data Governance


1 introduction
10 Min

Descriptive Statistics & Data Visualization Principles


1 introduction
10 Min

Probability Distributions & Hypothesis Testing for Business


1 introduction
10 Min

Linear & Multiple Regression Analysis


1 introduction
10 Min

Predictive Analytics Models & Classification Algorithms


1 introduction
10 Min

Predictive Analytics Models & Classification Algorithms


1 introduction
10 Min

Decision Analysis, Trees & Expected Value Frameworks


1 introduction
10 Min

Monte Carlo Simulation & Risk Modeling


1 introduction
10 Min

Optimization Models & Linear Programming


1 introduction
10 Min

Business Intelligence (BI) Dashboards & KPI Reporting


1 introduction
10 Min

Customer Analytics & Segmentation Modeling


1 introduction
10 Min

People Analytics & Operational Data Mining


1 introduction
10 Min

Big Data Ecosystems & Cloud Analytics Infrastructure


1 introduction
10 Min

Data Ethics, GDPR Compliance & Algorithmic Transparency


1 introduction
10 Min

Applied Data-Driven Business Case Defense


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