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  • Statistical Analysis

Statistical Analysis Courses

Statistical analysis courses can help you learn data collection methods, hypothesis testing, regression analysis, and data visualization techniques. You can build skills in interpreting results, making predictions, and drawing conclusions from data sets. Many courses introduce tools such as R, Python, and Excel, that support performing statistical computations and creating visual representations of data.


More to explore:

Popular Statistical Analysis Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data – What It Is, What We Can Do With It

    Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    182 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Applications of Hypothesis Testing and Confidence Interval Estimation

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Resampling, Selection and Splines

    Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, R Programming, Statistical Analysis, Statistical Methods, Regression Analysis, Statistics, Applied Mathematics, Logistic Regression

    Build toward a degree

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Data Analytics Engineering: Probability & Techniques

    Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Preprocessing, Data Structures, Data Cleansing, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Summary Statistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Visualization, Epidemiology, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Public Health, Sample Size Determination

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    t-Tests of Hypotheses About Means

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Quantitative Research, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistics, Data Analysis, Regression Analysis, Research Design, Research, Psychology

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Quantitative Statistics with Excel

    Skills you'll gain: Regression Analysis, Microsoft Excel, Statistical Hypothesis Testing, Business Analytics, Data-Driven Decision-Making, Excel Formulas, Data Visualization, Data Literacy, Business Analysis, Data Presentation, Business Intelligence, Statistical Analysis, Statistical Methods, Analytics, Spreadsheet Software, Data Analysis, Data Analysis Software, Correlation Analysis, Case Studies, Data Manipulation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Advanced Analytics, Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Basic Statistics in Python (Correlations and T-tests)

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    35 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Cape Town

    Doing Clinical Research: Biostatistics with the Wolfram Language

    Skills you'll gain: Descriptive Statistics, Data Literacy, Plot (Graphics), Statistical Analysis, Statistical Visualization, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Quantitative Research, Deep Learning, Regression Analysis, Data Manipulation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Analysis in R with RStudio & Tidyverse

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Using Descriptive Statistics to Analyze Data in R

    Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Preprocessing, Statistics, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    93 reviews

    Beginner · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular statistical analysis courses

  • Data – What It Is, What We Can Do With It: Johns Hopkins University
  • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
  • Resampling, Selection and Splines: University of Colorado Boulder
  • Data Analytics Engineering: Probability & Techniques: Northeastern University
  • Summary Statistics in Public Health : Johns Hopkins University
  • t-Tests of Hypotheses About Means: American Psychological Association
  • Advanced Quantitative Statistics with Excel: Coursera
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Basic Statistics in Python (Correlations and T-tests): Coursera
  • Doing Clinical Research: Biostatistics with the Wolfram Language: University of Cape Town

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