Course details

The "Business Intelligence and Visualization" course is tailored to equip students with the skills required to derive actionable insights from vast datasets using modern BI tools and visualization techniques. The course spans the breadth of BI concepts, emphasizing the transformation of raw data into meaningful reports and dashboards that can guide decision-making in various business scenarios.

Start Date
TBD
Target Audience
2nd & 4th semester undergraduates with an interest in business analytics, data visualization, and making data-driven decisions. A basic understanding of data analytics is a plus.
Duration
14-15 weeks
Learning Objectives
  • Understand the significance and components of Business Intelligence.
  • Grasp the fundamental principles of designing effective BI dashboards and reports.
  • Gain hands-on experience with leading BI tools like Tableau, Power BI, and QlikView.
  • Develop capabilities to present and communicate data-driven insights effectively to stakeholders.
Key Features
  • Weekly lectures delivered by international faculty.
  • Interactive tutorial sessions to reinforce learning.
  • Practical exercises on BI tools.
  • Group projects emphasizing real-world business scenarios.
  • Comprehensive LMS access.
Learning path
  • Unit 1: Fundamentals of Business Intelligence (4)
  • Unit 2: Introduction to BI Tools (4)
  • Unit 3: Advanced Visualization Techniques (6)
  • Unit 4: Data Modeling for BI (4)
  • Unit 5: Integration with Other Systems (4)
  • Unit 6: Collaboration and Sharing in BI (4)
  • Unit 7: Trends and the Future of BI (2)

Topics covered

  • What is Business Intelligence? Importance and Evolution
  • Components of a BI System: Data Warehousing to Reporting
  • Role of BI in Decision-Making
  • Key Challenges in Implementing BI Solutions

  • Overview of Leading BI Tools: Tableau, Power BI, QlikView
  • Data Import and Cleaning in BI Tools
  • Basic Reporting: Tables, Charts, and KPIs
  • Advanced Reporting: Hierarchies, Drilling, and Aggregation

  • Designing Effective Dashboards: Best Practices
  • Storyboarding and Narratives in BI
  • Interactive Elements in Dashboards
  • Real-time Data Visualization and Streaming Dashboards
  • Mobile BI: Design Considerations for Smaller Screens
  • Advanced Chart Types: Pareto, Waterfall, Histogram

  • Fundamentals of Data Modeling
  • Star Schema and Snowflake Schema
  • Calculated Fields and Custom Measures
  • Aggregations and Data Cubes

  • Integrating BI Tools with Databases
  • BI in Cloud: Benefits and Challenges
  • Role of APIs in Data Fetching
  • Embedding BI Reports in External Applications

  • Collaboration Features in BI Tools
  • Sharing Reports and Dashboards
  • User Management and Access Control
  • Scheduling and Automating Report Generation

  • Emerging Trends: Augmented BI, AI in BI, Mobile BI
  • The Future of Business Intelligence and Visualization

Grading:

  • Participation: 10%
  • Assignments: 35%
  • Projects: 25%
  • Final Exam: 30%

Prerequisites: "Data Analytics Foundations" or equivalent knowledge.

Reading Material: Available on LMS. Specific textbooks or online resources may be recommended by the faculty.

Faculty: A leading international professor with expertise in Business Intelligence and Visualization.

Teaching Instructors: TBD

Contact Us

E-mail

arun.reddy@globuslearn.com

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