Applied Business Statistics
Finance
Certificate
To fill the bridge gap between theory and practical among business statistics
Yes
Basic Level of MS Excel
U Kaung Satt Paing
Bachelor of Engineering (Marine Engineering)
Master of Business Administration
Post Graduate Diploma in Research Studies
Instructor (Matrix College)
Lead Market Intelligence Analyst
Campus and Online
18 hours
6 hours
Matrix Curriculum
Applied
By the end of this course, participants will have achieved the following learning outcomes:
• Understand and organize different types of data
• Create meaningful charts and descriptive summaries
• Perform hypothesis tests and confidence intervals
• Explore relationships using correlation and ANOVA
• Predict outcomes using linear regression
• Interpret statistical results to support business decisions
• Analyze and visualize data sets confidently using Excel
• Translate analysis into actionable insights
• Tackle real-world problems with a structured, data-driven mindset
• Apply your knowledge through a real-world capstone project
Not Available
75%
A very foundation course for data enthusiasts who are working in any professional fields. This coures is intended to fill the gap between the statistical theory and practica. Whether you're a business analyst, data analyst, or simply data-curious, this course gives you the practical statistical knowledge to make smarter, evidence-based decisions using Microsoft Excel.
During this course, you'll master the essential concepts of applied statistics through real-world business scenarios. We strip away the theory and focus on what matters: interpreting, visualizing, and applying data insights confidently.
Foundations of Statistics
• Descriptive vs. Inferential Statistics
• Levels of Measurement (Nominal, Ordinal, Interval, Ratio)
• Identifying Variable Types in Business Contexts
Descriptive Statistics & Data Visualization
• Measures of Central Tendency: Mean, Median, Mode
• Measures of Variability: Range, Variance, Standard Deviation
• Visualizing Data: Histograms, Bar Charts, Scatterplots, Pie Charts
Distributions & Probability
• Understanding Normal Distributions
• Calculating and Interpreting Z-Scores
• Basic Probability Rules and Applications
Hypothesis Testing
• Null and Alternative Hypotheses
• Confidence Intervals and Significance Levels
• One-Sample T-Tests using Excel
Comparing Groups & Correlation
• Independent and Paired T-Tests
• Analysis of Variance - ANOVA
• Pearson Correlation and Interpretation
Linear Regression & Predictive Modeling
• Simple Linear Regression and Coefficient Interpretation
• R-squared and Line of Best Fit
• Building Predictive Models with Excel
Capstone Project
• Apply all learned techniques to a business scenario
• Create a summary report with Excel visuals and insights
Business analysts and junior managers
MBA or undergraduate business students
Anyone preparing for data-driven roles