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"

  • Status: New

    John Wiley & Sons

    Skills you'll gain: Data Storytelling, Power BI, Matplotlib, Tableau Software, Plot (Graphics), Data Presentation, Relational Databases, Database Design, Data Cleansing, Data Visualization Software, SQL, Database Theory, Business Intelligence, R (Software), Data Wrangling, Statistical Programming, R Programming, Data Visualization, Data Analysis, Python Programming

    Beginner · Specialization · 3 - 6 Months

  • Status: New

    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

  • University of Leeds

    Skills you'll gain: Data Ethics, Data Storytelling, Social Network Analysis, Data Presentation, Exploratory Data Analysis, Statistical Hypothesis Testing, Classification And Regression Tree (CART), Statistical Machine Learning, R (Software), Bayesian Statistics, Dimensionality Reduction, Data Visualization, Statistical Visualization, Machine Learning Methods, Data Preprocessing, Statistical Programming, Web Scraping, File I/O, Statistical Modeling, Linear Algebra

    Earn a degree

    Degree · 1 - 4 Years

  • 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
    Rating, 4.7 out of 5 stars
    7.7K 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
    Rating, 4.5 out of 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 Statistics, Statistical Software, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Probability & Statistics, R (Software)

    4.7
    Rating, 4.7 out of 5 stars
    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New

    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

  • 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
    Rating, 4.7 out of 5 stars
    6 reviews

    Beginner · 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
    Rating, 4.6 out of 5 stars
    48K reviews

    Beginner · Specialization · 3 - 6 Months

  • University of California, Santa Cruz

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

    4.6
    Rating, 4.6 out of 5 stars
    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • SAS

    Skills you'll gain: SAS (Software), Data Manipulation, Statistical Reporting, Data Import/Export, Requirements Analysis, Data Transformation, Data Validation, Analysis, Data Access, Statistical Programming, Statistical Analysis, Data Analysis, Data Cleansing, Exploratory Data Analysis, Data Wrangling, Data Analysis Software, Microsoft Excel, Data Processing, Data Preprocessing, Data Integration

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    3.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Duke University

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

    4.8
    Rating, 4.8 out of 5 stars
    2.8K reviews

    Beginner · Course · 1 - 3 Months