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  • Learn To Use The Wolfram Language To Do Common Statistical Tests

Results for "learn to use the wolfram language to do common statistical tests"


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 1

    Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    531 reviews

    Mixed · Course · 1 - 4 Weeks

  • 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, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    35 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Probability Distribution, Data Science, Markov Model, Statistics, Simulations, Python Programming, Statistical Visualization, Mathematical Software, Statistical Inference

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Inference and Hypothesis Testing in Data Science Applications

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Data Ethics, Sampling (Statistics), Probability & Statistics, Statistical Inference, A/B Testing, Quantitative Research

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Inferenzstatistik

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

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Seaborn Python: Visualize & Analyze Data Distributions

    Skills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to Data Analysis using Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Hypothesis Testing in Public Health

    Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    649 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Octave for Machine Learning: Analyze & Visualize

    Skills you'll gain: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Manipulation, Data Processing, Data Structures, Linear Algebra, Numerical Analysis, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to R: Basic R syntax

    Skills you'll gain: R (Software), R Programming, Arithmetic, Statistical Programming, Development Environment, Programming Principles, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    47 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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: Preview
    Preview
    U

    University of Leeds

    Exploratory Data Analysis

    Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Methods, Statistical Modeling, Data Visualization, Statistics, R (Software), Data Analysis, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular learn to use the wolfram language to do common statistical tests courses

  • Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
  • Basic Statistics in Python (Correlations and T-tests): Coursera
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
  • Inferenzstatistik: Duke University
  • Seaborn Python: Visualize & Analyze Data Distributions: EDUCBA
  • Introduction to Data Analysis using Microsoft Excel: Coursera
  • Hypothesis Testing in Public Health : Johns Hopkins University
  • Octave for Machine Learning: Analyze & Visualize: EDUCBA
  • Introduction to R: Basic R syntax: Coursera

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