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"

  • 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

    4.5 stars, 22K reviews, Intermediate, Course, 1 - 4 Weeks

  • Imperial College London

    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)

    4.7 stars, 2.1K reviews, Beginner, Specialization, 3 - 6 Months

  • Johns Hopkins University

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, R (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Data Processing, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, Knitr, Data Sharing, GitHub, Machine Learning

    4.6 stars, 48K reviews, Beginner, Specialization, 3 - 6 Months

  • University of Colorado Boulder

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, R (Software), Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Statistical Software, Microsoft Excel, Statistics, Data Analysis

    4.6 stars, 52 reviews, Beginner, Specialization, 3 - 6 Months

  • 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

    4.7 stars, 7.7K reviews, Beginner, Specialization, 3 - 6 Months

  • Johns Hopkins University

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Applied Machine Learning, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Social Network Analysis, Simulations

    Intermediate · Specialization · 3 - 6 Months

  • University of Colorado Boulder

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, R (Software), Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Probability & Statistics, Statistical Modeling, Statistical Methods, Descriptive Analytics, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Predictive Modeling, Data Wrangling

    4.9 stars, 8 reviews, Intermediate, Course, 1 - 3 Months

  • University of California, Santa Cruz

    Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, R (Software), Probability & Statistics, Statistical Modeling, Technical Communication, Probability, Statistics, Statistical Programming, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science

    4.6 stars, 3.5K reviews, Intermediate, Specialization, 3 - 6 Months

  • Johns Hopkins University

    From the course: Reproducible Research·Lesson: Week 4

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    Micro Lesson · 11 minutes

  • SAS

    Skills you'll gain: SAS (Software), Data Validation, Data Manipulation, Statistical Reporting, Data Import/Export, Requirements Analysis, Data Transformation, Programming Principles, Exploratory Data Analysis, Analysis, Data Quality, Data Processing, Debugging, Data Access, Statistical Programming, Statistical Analysis, Data Analysis, Data Compilation, Data Wrangling, Data Analysis Software

    4.8 stars, 3.5K reviews, Beginner, Professional Certificate, 3 - 6 Months

  • Packt

    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

    4.7 stars, 6 reviews, Beginner, Course, 1 - 3 Months

  • University of Colorado Boulder

    Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Analysis, Experimentation, Research Design, Statistical Methods, Data Analysis, R (Software), Statistical Programming, Predictive Modeling, Data Science, Predictive Analytics, Probability & Statistics, General Science and Research, Correlation Analysis, Quantitative Research

    4.2 stars, 69 reviews, Intermediate, Specialization, 3 - 6 Months