What you will learn?
Foundations of Statistics
Explore the building blocks of data analysis, including descriptive statistics, probability theory, and data visualization techniques. These articles will guide you through key concepts like distributions, measures of central tendency, and variability.
Inferential Statistics & Hypothesis Testing
Learn how to make data-driven decisions using inferential statistics, confidence intervals, p-values, and various hypothesis testing methods. A strong foundation for understanding data relationships and significance.
Econometrics & Regression Analysis
Dive into the fundamentals of econometrics, from simple linear regression to advanced econometric models. Uncover the assumptions behind regression, multicollinearity, and learn how to apply these techniques in real-world contexts.
Machine Learning Basics with Python and R
Explore beginner-friendly articles on machine learning techniques like regression, classification, and clustering. Walk through practical applications in Python and R to learn how to build predictive models and evaluate their performance.
Text Mining & Natural Language Processing
Discover the power of text mining and its applications in analyzing unstructured data. Topics include sentiment analysis, topic modeling, and term frequency techniques, with real-world case studies from my research projects.
