Data Mining and Business Intelligence
INVESTMENT
DURATION
START DATES
DELIVERY MODE
ASSESSMENT
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