UIBFS

Data Mining and Business Intelligence

INVESTMENT

DURATION

COURSE OVERVIEW

The Data Mining and Business Intelligence course is a vital component of modern-day business operations. It focuses on extracting valuable insights from large datasets and utilizing them to make informed business decisions. This course equips students with skills in data analysis, statistical modeling, and predictive analytics. By leveraging these techniques, businesses can uncover hidden patterns, trends, and customer preferences, leading to improved efficiency, targeted marketing strategies, and better overall decision-making.

COURSE OBJECTIVE

Upon completion of the course, participants will be able to: 1. Understand the fundamentals of data mining and business intelligence and their significance in modern business environments. 2. Learn techniques for data analysis, including data cleaning, transformation, and visualization. 3. Gain proficiency in statistical modeling and predictive analytics to extract meaningful insights from large datasets. 4. Develop skills to identify hidden patterns, trends, and relationships within data, enabling effective decision-making. 5. Apply data mining and business intelligence tools and methodologies to solve real-world problems and optimize business processes.

TARGET AUDIENCE

The Data Mining and Business Intelligence course targets professionals and students across industries, interested in leveraging data for business success. It caters for business analysts, data scientists, managers, and aspiring professionals, enhancing their understanding of data-driven decision-making. Upon completion of the training, participants will gain the following skills: 1) Proficiency in data analysis: Participants will develop a strong foundation in analyzing complex datasets and extracting meaningful insights. 2) Expertise in statistical modelling: Participants will learn how to apply statistical techniques to identify patterns, correlations, and trends in data. 3) Mastery of predictive analytics: Participants will acquire the ability to utilize predictive models to forecast future outcomes and make data-driven predictions. 4) Understanding of business intelligence tools: Participants will become familiar with various business intelligence tools and software, enabling them to effectively visualize and present data. Fee: 900,000/= for the entire course. Software: Tableau, Power BI and R Studio

WHAT YOU WILL STUDY

LEARNING OUTCOMES

Upon completion of the training, participants will gain the following skills: 1) Proficiency in data analysis: Participants will develop a strong foundation in analyzing complex datasets and extracting meaningful insights. 2) Expertise in statistical modelling: Participants will learn how to apply statistical techniques to identify patterns, correlations, and trends in data. 3) Mastery of predictive analytics: Participants will acquire the ability to utilize predictive models to forecast future outcomes and make data-driven predictions. 4) Understanding of business intelligence tools: Participants will become familiar with various business intelligence tools and software, enabling them to effectively visualize and present data. Fee: 900,000/= for the entire course. Software: Tableau, Power BI and R Studio