The Best Statistical Modeling Tutoring Online

...Econometrics, in which I received an 'A.' Additional relevant coursework in mathematics includes Math 217 Probability and Statistical Modeling and Math 220 Linear Algebra. Additional relevant coursework in economics includes Econ 207 Intermediate Microeconomic...See Alex's full profile

...application to data analysis. I specialize in using Excel (Solver, Data Analysis Toolpak, StatTools), R, and SPSS for statistical modeling, and leverage SQL, Power BI, and Tableau for data wrangling and visualization. I’m also well-versed in research ...See Abinaya's full profile

I am an experienced biostatistics educator and data analyst with a proven record of success in helping students and professionals master statistical methods in biological and health sciences. I have taught statistical modeling, research...See Christal-Joy's full profile

• Inferential Statistics: Sampling Distributions (CLT), Point Estimation, Confidence Intervals, and Hypothesis Testing (z-tests, t-tests, p-values). • Statistical Modeling: Linear Regression, Correlation, and Analysis of Variance...See Weien's full profile

My training includes PhD-level courses in probability and statistics at Harvard. I am equally comfortable with proof-based statistics and applied statistical models.See Sam's full profile

My proficiency is in statistical modeling, data and analytics, spanning from descriptive statistics, probability, confidence intervals, and hypothesis testing, including the Chi-squared test, to advanced time series analysis, regression...See Jordan's full profile

...methods, and matrix theory. I conduct sessions in R Studio for data science students, covering data analysis and statistical modeling. Additionally, I teach various programming languages, including C, SQL, Python, Bash, and Swift, catering to various...See Antonio's full profile

Taught graduate-level probability at Kansas State University Familiar with statistical modeling software Extensive experience with probability theory, real analysis, and related subjects. See Danny's full profile

I have PhD in disease epidemiology with specialization in biostatistics and disease modeling. My expertise involve studying the factors affecting disease outbreaks and their quantitative analysis using statistical models. See Mohsin's full profile

I have hands-on experience using R for data analysis, visualization, and statistical modeling in academic and professional settings. I help students and professionals learn how to work with data frames, create visualizations, and build...See Freddi's full profile

I took multiple courses in biostatistics, and my dissertation work is largely focused on statistical modeling.See Lauren's full profile

I focus on using real-world applications to explain theoretical concepts, ensuring students not only understand the material but also feel confident applying it. Whether working through statistical models, economic principles, or advanced...See Cindy's full profile

I’m a Master’s student in Statistics at UNC Chapel Hill with extensive experience using R for data analysis, statistical modeling, and visualization. I’ve tutored students across disciplines, helping them understand R fundamentals,...See Rachel's full profile

I am an experienced data scientist and analytics professional with extensive expertise in R programming for data analysis, visualization, and statistical modeling. I have used R in real-world applications, including business intelligence,...See Senan's full profile

Masters Degree in Epidemiology Four years tutoring experience Published author using statistical models.See Toby's full profile

...reliability, validity, power analyses (including G*Power), non-parametric tests, factor analysis, and higher level statistical models as well. Just ask! I received my PhD in social psychology with a quantitative methods (aka statistics) concentration...See Lindsay's full profile

Nearly half of my graduate degree is in statistics, including a specially designed independent study course in advanced statistical modeling covering advanced topics like factor analysis and multilevel modeling. Here is a comprehensive list...See Lyubo's full profile

My role was key in facilitating decision-making for projects with valuations exceeding $50 million. Another summer with Goldey Capital in Private Wealth Management saw me creating statistical models to price lifelong education costs for...See Sam's full profile

I’ve also earned A grades in advanced college statistics courses, including Engineering Statistics, Econometrics, and Machine Learning. My expertise includes statistical modeling, data visualization, and applying R to real-world datasets...See Marilyn's full profile

During college, I studied linear algebra during three difference classes - Linear Algebra 1, Linear Algebra 2, and Linear Statistical Models.See Steven's full profile

...and government agencies. I provide support in R, Stata, SPSS, Excel, data visualization, dashboard creation, and statistical modeling. I have helped graduate students and professionals clean data, run analyses, interpret results, and translate findings...See Matt's full profile

...statistical courses (Intro to statistics, Probability, Statistical Modeling). I have been tutoring individual students in Biostatistics/Statistics for many years. I am specialized in statistical modeling (linear regression, logistics regression, longitudinal...See Yan's full profile

With over 12 years of experience, I have been doing statistics at several tech Startups and in my PhD at UC Berkeley. I have developed statistical models and published 12 scientific papers with statistical analysis and methods. Let's...See Oliver's full profile

As a research assistant in two psychology labs at the University of Pennsylvania, I have extensive experience conducting data analysis using R and Python. I’ve completed two senior honors theses involving advanced statistical modeling,...See Miranda's full profile

For nearly a year, I have helped a Ph.D. student in economics master probability, statistics, modeling, and advanced methods such as kernel density estimation, multivariate analysis, principal component analysis, hierarchical clustering,...See Peter's full profile