Statistical Programming

Statistical programming involves the application of programming languages in performing statistical analysis on data. Coursera's Statistical Programming catalogue empowers you to understand, design, and implement statistical methods using different programming languages. You'll learn how to apply these techniques to manage, manipulate, analyze, and visualize complex datasets. You'll also delve into the core concepts of descriptive statistics, inferential statistics, hypothesis testing, and regression models. Whether you're a data scientist, an aspiring analyst, or simply someone interested in harnessing the power of data, you'll gain proficiency in tools and languages such as R, Python, SAS, and SQL, to name a few.

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Results for "Statistical Programming"

  • Skills you'll gain: Clinical Data Management, Clinical Trials, Clinical Research, Interactive Data Visualization, Case Report Forms, Drug Development, Data Presentation, R (Software), Pharmaceuticals, Shiny (R Package), Data Visualization, Statistical Reporting, Dashboard, Data Modeling, R Programming, Data Manipulation, Statistical Programming, Data Science, Statistical Analysis, Data Preprocessing

  • Johns Hopkins University

    Skills you'll gain: R (Software), Statistical Analysis, R Programming, Statistical Programming, Statistical Methods, Data Analysis, Debugging, Simulations, Program Development, Programming Principles, Software Installation, Data Structures, Performance Tuning, Data Import/Export

  • Skills you'll gain: Time Series Analysis and Forecasting, Stata, STATA (Software), Forecasting, Statistical Analysis, Statistical Modeling, Statistical Programming, Data Transformation, Statistical Reporting, Statistical Software, Regression Analysis, Statistical Methods, Advanced Analytics, Data Analysis, Correlation Analysis, Model Evaluation, Dimensionality Reduction, Structural Analysis, Computer Programming

  • Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Science and Research, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Analytics, Descriptive Statistics, Statistical Software, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, R (Software)

  • Duke University

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, R (Software), Statistical Reporting, Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Programming, Statistical Software, Data Analysis, Probability, R Programming, Statistical Modeling, Data Visualization

  • Skills you'll gain: Time Series Analysis and Forecasting, Stata, Logistic Regression, STATA (Software), Quantitative Research, General Science and Research, Regression Analysis, Descriptive Statistics, Forecasting, Exploratory Data Analysis, Data Entry, Descriptive Analytics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistical Analysis, Statistical Programming, Statistical Modeling, Data Import/Export, Data Analysis

  • Skills you'll gain: A/B Testing, Sampling (Statistics), Data Analysis, Analytics, Statistics, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Probability & Statistics, Advanced Analytics, Probability Distribution, Data Science, Statistical Inference, Statistical Programming, Statistical Methods, Probability, Python Programming

  • Skills you'll gain: Microsoft Visual Studio, R (Software), Debugging, R Programming, Data Structures, Microsoft Development Tools, Software Documentation, Programming Principles, Statistical Programming, Program Development, Code Reusability, Development Environment, Data Manipulation, Computational Logic, Software Installation

  • Skills you'll gain: Logistic Regression, Statistical Modeling, Statistics, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Data Analysis, Regression Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Statistical Programming, R Programming, R (Software), Predictive Modeling, Analytics, Technical Communication, Analysis

  • University of Pittsburgh

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Predictive Analytics, Statistics, Regression Analysis, Predictive Modeling, Statistical Inference, Probability & Statistics, Mathematical Modeling, Model Evaluation, Data Analysis, Data Science, Statistical Machine Learning, Statistical Analysis, Statistical Programming, Markov Model, Probability Distribution, Sampling (Statistics), Machine Learning, Python Programming

  • Skills you'll gain: Rmarkdown, R (Software), Data Import/Export, R Programming, Ggplot2, Plot (Graphics), Data Manipulation, Plotly, Data Visualization, Web Scraping, Statistical Visualization, Interactive Data Visualization, Data Visualization Software, Data Wrangling, Data Processing, Data Cleansing, Data Transformation, Statistical Programming, Programming Principles, Data Structures

  • Skills you'll gain: Stata, STATA (Software), Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Statistical Programming, Statistical Software, Statistical Visualization, Data Manipulation, Logistic Regression, Simulations, Predictive Modeling, Data Transformation, Graphing, Model Evaluation