Master the art of statistical analysis with ECON201, a comprehensive course designed to equip students with the tools and techniques necessary to analyze economic data and draw meaningful insights. From descriptive statistics to regression analysis, this course covers essential topics in statistical methods, empowering students to make informed decisions and predictions in economics and related fields.
 
Course Highlights: 
Introduction to Statistics: Understand the fundamental concepts and principles of statistics, including data types, measures of central tendency, and variability.
Descriptive Statistics: Learn how to summarize and visualize data using descriptive statistics such as mean, median, mode, standard deviation, and graphical techniques.
Probability Theory: Explore the basics of probability theory, including probability distributions, random variables, and probability laws, and understand their applications in economic analysis.
Statistical Inference: Gain insights into statistical inference techniques, including estimation, hypothesis testing, confidence intervals, and p-values, and learn how to make inferences about population parameters from sample data.
Regression Analysis: Master regression analysis techniques, including simple linear regression, multiple regression, and logistic regression, and understand how to use regression models to analyze relationships between variables and make predictions.
Time Series Analysis: Learn how to analyze time-series data, including trend analysis, seasonal decomposition, and forecasting methods, and understand their applications in economic forecasting and policy analysis.
Econometric Modeling: Explore econometric modeling techniques for analyzing economic relationships and testing economic theories using statistical methods.
Experimental Design and Causal Inference: Understand the principles of experimental design and causal inference in economics, including randomized controlled trials, natural experiments, and quasi-experimental methods.
Statistical Software Tools: Familiarize yourself with statistical software tools such as R, Python, or Stata, and learn how to use them to perform statistical analysis and data visualization.
Ethical and Legal Considerations: Explore ethical issues and legal considerations related to the use of statistical methods in economic research, including data privacy, confidentiality, and integrity.
 
Who Should Enroll:
ECON201 is ideal for students pursuing degrees in economics, finance, business administration, or related fields, as well as professionals seeking to enhance their analytical skills in economic analysis and decision-making. This course is suitable for beginners with no prior background in statistics as well as those seeking to deepen their understanding of statistical methods and their applications in economics.