Business Intelligence (BI) and Predictive Analytics 101

Course Overview

• Course Title: Business Intelligence (BI) and Predictive Analytics 101
• Instructor: Dr. José Prabhu J
• Target Audience:
  • Beginners in Business Intelligence and Predictive Analytics
  • Professionals looking to enhance their data analytic skills
  • Students interested in data science and analytics
• Prerequisites:
  • Basic skills and ideas of Business Intelligence and Predictive Analytics

Curriculum Highlights

• Key Topics Covered:
  • Introduction to Business Intelligence and Predictive Analytics
  • Data Collection and Preparation
  • Descriptive Analytics
  • Predictive Modeling Techniques
  • Advanced Predictive Analytics
  • Big Data and Predictive Analytics
  • Implementing BI and Predictive Analytics Solutions
  • Exploring Reporting Tools and Technologies in Data Analytics
  • Case Studies and Emerging Trends
• Key Skills Learned:
  • Data collection, cleaning, transformation, and integration
  • Statistical methods and data visualization
  • Predictive modeling using regression, classification, and clustering
  • Time series analysis, machine learning algorithms, and text mining
  • Big data technologies like Hadoop and Spark
  • Real-time analytics solutions
  • Project planning and management for BI and predictive analytics
  • Legal and regulatory compliance in data handling
  • Cloud-based platforms for BI and predictive analytics (AWS, Azure, Google Cloud)
  • Career paths and necessary certifications in BI and predictive analytics

Course Format

• Duration: 2 hours on-demand video
• Format: Self-paced online course
• Resources:
  • Access on mobile and TV
  • Certificate of completion