Business Intelligence (BI) and Predictive Analytics 101

Business Intelligence, Predictive Analytics, BI, Artificial Intelligence and BI, Big Data Analytics. BI Tools, AI and ML

Created by: Dr. José Prabhu J
Researcher, Professor and Subject Matter Expert

What Will I Learn?

• Demonstrate a thorough understanding of the concepts, scope, and importance of Business Intelligence (BI) and predictive analytics.
• Acquire skills to identify, collect, clean, transform, and integrate data from various sources for BI and predictive analytics projects.
• Utilize statistical methods and data visualization techniques to summarize and interpret data.
• Develop and evaluate predictive models using techniques such as regression, classification, and clustering.
• Apply advanced methods, including time series analysis, machine learning algorithms, and text mining, to complex business problems.
• Understand the characteristics of big data and leverage big data technologies like Hadoop and Spark.
• Implement real-time analytics solutions to provide immediate insights and responses to ongoing business activities.
• Develop project planning and management skills specific to BI and predictive analytics initiatives.
• Ensure compliance with legal and regulatory requirements in the handling and analysis of data.
• Implement and utilize cloud-based platforms for BI and predictive analytics, such as AWS, Azure, and Google Cloud.
• Implement and utilize cloud-based platforms for BI and predictive analytics, such as AWS, Azure, and Google Cloud.
• Explore various career paths and opportunities, identifying necessary skills and certifications for success in the field.

Requirements

• Basic skills and Ideas of Business Intelligence and Predictive Analytics !

Target audience

• All UG and PG Business, General Management, IT, Marketing and Computer Science students
• Interested students to learn about the concepts of Business Intelligence and Predictive Analytics