Data Analysis for Business Intelligence

Course Description

This online course offers a comprehensive introduction to data analysis for business intelligence, providing students with essential tools and techniques in descriptive and inferential statistics. This course is designed to transform raw data into valuable insights, empowering learners to make informed business decisions. As the first part of the Professional Certification Program in Business Intelligence, this course lays a strong foundation for advanced studies in the field.

What Students Will Learn

• Mastery of basic concepts in data analysis and business intelligence
• Proficiency in using Excel for data analysis
• Application of descriptive and inferential statistics in business contexts
• Techniques for hypothesis testing and confidence interval estimation
• Understanding and application of regression analysis
• Skills in interpreting various types of data and graphical representations
• Calculation and application of central tendency measures
• Differentiation between discrete and continuous random variables
• Application of continuous probability distribution
• Fundamentals of descriptive statistics and various probability distributions

Prerequisites

• Basic knowledge of algebra and calculus
• Fundamental concepts of working with data in Excel

Course Content

• Data analysis using Excel
• Statistical measures and frequency distribution
• Central tendency measures (mean, median, mode, min, max, quartile, variance, standard deviation)
• Estimators, confidence intervals, and hypothesis testing
• Regression analysis
• Basic statistical concepts
• Informal probability and discrete/continuous random variables
• Binomial, geometric, and Poisson probability distributions
• Continuous random variables, uniform, normal, and exponential probability distributions
• Applied statistics in business

Who This Course Is For

• Business professionals seeking to enhance their data analysis skills
• Students pursuing careers in business intelligence or data analytics
• Managers and decision-makers looking to leverage data for strategic insights
• Anyone interested in learning how to extract valuable information from data sets

Real-World Applications

• Identifying the most valuable customers for a company
• Controlling expenses effectively
• Optimizing production chain efficiency
• Predicting the performance of newly launched products
• Analyzing the impact of specific events on sales
• Determining the least profitable products for portfolio optimization
• Identifying the best seasons for product positioning efforts

Syllabus

1. Data analysis with Excel
2. Data analysis, statistical measures, frequency distribution, and data types
3. Measures of central tendency (mean, median, mode, min, max, quartile, variance, and standard deviation)
4. Estimators, confidence intervals, and hypothesis testing
5. Regression analysis
6. Basic statistical concepts
7. Informal probability and discrete/continuous random variables
8. Binomial, geometric, and Poisson probability
9. Continuous random variables, uniform, normal, and exponential probability
10. Applied statistics in business