Introduction to Quantitative Methods for Business
( 30 Modules )

Module #1
Introduction to Quantitative Methods
Overview of quantitative methods, importance in business decision making, and applications in various industries

Module #2
Descriptive Statistics
Measures of central tendency, variability, and data visualization using Excel and statistical software

Module #3
Data Visualization
Best practices for data visualization, types of charts and graphs, and storytelling with data

Module #4
Probability Theory
Basic concepts of probability, events, and conditional probability

Module #5
Random Variables and Probability Distributions
Discrete and continuous random variables, probability distributions, and expected value

Module #6
Sampling and Sampling Distributions
Types of sampling methods, sampling distributions, and the central limit theorem

Module #7
Confidence Intervals
Constructing and interpreting confidence intervals, margin of error, and confidence level

Module #8
Hypothesis Testing
Null and alternative hypotheses, test statistics, p-values, and type I and type II errors

Module #9
One-Sample Hypothesis Testing
Hypothesis testing for means, proportions, and variances with one sample

Module #10
Two-Sample Hypothesis Testing
Hypothesis testing for means, proportions, and variances with two samples

Module #11
Analysis of Variance (ANOVA)
One-way and two-way ANOVA, multiple comparisons, and post-hoc tests

Module #12
Regression Analysis
Simple and multiple linear regression, coefficient interpretation, and model assumptions

Module #13
Time Series Analysis
Trend analysis, seasonal decomposition, and forecasting using moving averages and exponential smoothing

Module #14
Forecasting Methods
ARIMA models, Prophet, and other advanced forecasting techniques

Module #15
Decision Analysis
Decision trees, payoff tables, and sensitivity analysis

Module #16
Linear Programming
Formulation, graphical method, and simplex method for solving linear programming problems

Module #17
Network Analysis
Network flows, shortest paths, and minimum spanning trees

Module #18
Simulation and Risk Analysis
Simulation models, risk analysis, and sensitivity analysis using Excel and simulation software

Module #19
Case Studies in Quantitative Methods
Real-world applications of quantitative methods in various industries, including finance, marketing, and operations

Module #20
Quantitative Methods in Business Decision Making
Applying quantitative methods to business problems, including data-driven decision making and strategy development

Module #21
Quantitative Tools and Software
Overview of quantitative tools and software, including Excel, R, Python, and other statistical software

Module #22
Data Mining and Machine Learning
Introduction to data mining and machine learning techniques, including clustering, classification, and regression

Module #23
Big Data Analytics
Handling and analyzing large datasets, including data preprocessing, feature selection, and model evaluation

Module #24
Quantitative Methods in Finance
Applications of quantitative methods in finance, including risk management, portfolio optimization, and option pricing

Module #25
Quantitative Methods in Marketing
Applications of quantitative methods in marketing, including customer segmentation, demand forecasting, and pricing optimization

Module #26
Quantitative Methods in Operations
Applications of quantitative methods in operations, including supply chain management, inventory control, and quality improvement

Module #27
Quantitative Methods in Healthcare
Applications of quantitative methods in healthcare, including disease modeling, epidemiology, and healthcare policy analysis

Module #28
Ethics in Quantitative Methods
Ethical considerations in the application of quantitative methods, including data privacy, bias, and transparency

Module #29
Communicating Quantitative Results
Effective communication of quantitative results to non-technical stakeholders, including data visualization and storytelling

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Introduction to Quantitative Methods for Business career

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Introduction to Quantitative Methods for Business ( 30 Modules )

Introduction to Quantitative Methods for Business
( 30 Modules )