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"

  • Genentech

    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

    4.6 stars, 19 reviews, Intermediate, Course, 1 - 3 Months

  • Sage Publications

    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

    Intermediate · Course · 1 - 3 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

  • 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

  • Sage Publications

    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

    Intermediate · Specialization · 3 - 6 Months

  • University of Michigan

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Plot (Graphics), Data Literacy, Scientific Visualization, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Model Evaluation, Statistical Programming, Data-Driven Decision-Making, Statistical Analysis, Python Programming

    4.6 stars, 3.4K reviews, Beginner, Specialization, 1 - 3 Months

  • 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, Exploratory Data Analysis, Model Evaluation, Statistical Analysis, Statistical Programming, R (Software)

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

  • ESSEC Business School

    Skills you'll gain: Data-Driven Marketing, Marketing Analytics, Business Analytics, Statistical Programming, Forecasting, Peer Review, Statistical Methods, Data Presentation, Predictive Analytics, Customer Analysis, Case Studies, R (Software), Information Technology, Analytical Skills, Digital Transformation, Business Marketing, Advanced Analytics, Complex Problem Solving, Data Synthesis, R Programming

    4.4 stars, 1.3K reviews, Advanced, Specialization, 3 - 6 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 Science, Data Analysis, R (Software), Statistical Programming, Predictive Modeling, Predictive Analytics, Probability & Statistics, Advanced Analytics, Data Modeling, General Science and Research

    4.2 stars, 69 reviews, Intermediate, 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

  • 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

  • Microsoft

    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

    5 stars, 6 reviews, Beginner, Course, 1 - 4 Weeks