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: Free Trial

    Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Capture, Data Pipelines, Data Integration, Personally Identifiable Information, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming

  • Status: Preview

    Skills you'll gain: Portfolio Management, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Statistical Programming, Equities, Regression Analysis, Data Manipulation, Data Visualization

  • Skills you'll gain: Shiny (R Package), FinTech, Financial Market, Financial Planning, Financial Forecasting, Statistical Programming, Asset Management, Financial Analysis, Artificial Intelligence, Web Applications, Portfolio Management, Predictive Modeling, Time Series Analysis and Forecasting, Algorithms

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Data Analysis Software, Debugging, Software Installation, Simulations, Integrated Development Environments, Programming Principles, Data Manipulation, Program Development, Data Import/Export, Performance Tuning

  • Skills you'll gain: Clinical Trials, Clinical Data Management, Clinical Research, Case Report Forms, SAS (Software), Pharmaceuticals, Statistical Programming, Data Analysis, Statistical Analysis, Informed Consent, Data Manipulation, Descriptive Statistics

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Management

  • Status: Preview

    Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Debugging, Data Analysis, Simulations, Integrated Development Environments, Data Import/Export, Data Structures, Data Manipulation, Computer Programming, Performance Tuning, Software Installation

  • Status: Preview

    Skills you'll gain: SAS (Software), Data Analysis Software, R (Software), Advanced Analytics, R Programming, Big Data, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Statistical Programming, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Restful API, Computer Vision, Artificial Neural Networks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Analysis, Statistical Programming, Text Mining

  • Skills you'll gain: Exploratory Data Analysis, R Programming, Data Manipulation, Statistical Programming, Data Literacy, Data Analysis, File Management, Integrated Development Environments, Programming Principles, Data Science, Data Structures, Computer Programming

  • Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

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Gain the knowledge and skills you need to advance.

  • This role has a £44,497 median salary ¹.

    description:

    A Statistician collects and analyzes data to identify trends, applying statistical methods to solve problems and provide insights in various fields.

    This role has a £44,497 median salary ¹.

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