Top Courses on Statistics in 2024
Introduction to Statistics
Learn essential statistical concepts for data analysis and insight communication. Explore topics like descriptive statistics, probability, regression, and common significance tests.
Intro to Statistics
Combine statistics and programming to analyze and interpret data. Covering scatter plots, probability, hypothesis testing, and more with optional programming lessons.
Intro to Inferential Statistics
Explore hypothesis testing and prediction based on data, including estimation, t-tests, ANOVA, and chi-squared tests.
Statistics with Python Specialization
Learn statistical analysis using Python, with practical assignments using quizzes, written analyses, and Python programming in Jupyter Notebooks.
Basic Statistics
Covering descriptive statistics, probability, and inferential statistics, including practical applications using statistical software.
Fundamentals of Statistics
Gain insight into constructing estimators, quantifying uncertainty, model selection, predictions, and dimension reduction using PCA.
Statistics and R
Introduction to statistical concepts and R programming skills for data analysis in life sciences.
Bayesian Statistics Specialization
Teaching the fundamentals of statistics, Bayesian methods, and R programming, applied to real-world data.
Statistics for Data Analysis
Covering descriptive statistics, probability, A/B testing, and regression using Python.
Python and Statistics for Financial Analysis
Focus on financial statistical analysis using Python, including building and evaluating trading models.
Mathematics and Statistics Fundamentals
Master key mathematical concepts, problem-solving skills, and application to economics.
Statistics Fundamentals
Mastering statistical fundamentals, including randomness, variability, probability theory, statistical inference, and practical techniques.
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