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  • Statistical Inference Methods

Results for "statistical inference methods"


  • Status: New
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    E

    EDUCBA

    Bayesian Statistics: Excel to Python A/B Testing

    Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Analysis, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Machine Learning, Markov Model

    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
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    35 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Probability Distribution

    5
    Rating, 5 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

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    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

    Skills you'll gain: Statistics, Probability & Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Combinatorics

    4.6
    Rating, 4.6 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

    4.6
    Rating, 4.6 out of 5 stars
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    103 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    M

    Microsoft

    Statistical Analysis and Advanced Techniques

    Skills you'll gain: Regression Analysis, Statistical Analysis, Time Series Analysis and Forecasting, R Programming, Statistical Hypothesis Testing, Probability & Statistics, Trend Analysis, Statistical Modeling, R (Software), Statistics, Predictive Modeling, Generative AI, Statistical Inference, Forecasting, Descriptive Statistics, Power BI

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Resampling, Selection and Splines

    Skills you'll gain: Data Science, Statistical Programming, R Programming, Statistical Machine Learning, Advanced Analytics, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Statistical Methods, Sampling (Statistics), Regression Analysis, Statistical Inference, Predictive Modeling, Statistics

    Build toward a degree

    5
    Rating, 5 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
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    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    C

    Columbia University

    Causal Inference 2

    Skills you'll gain: Statistical Inference, Econometrics, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design

    3.3
    Rating, 3.3 out of 5 stars
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    15 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, SAS (Software), Scatter Plots, Statistical Programming, Predictive Modeling, Statistical Hypothesis Testing, Plot (Graphics), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    274 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
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    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Bayesian Statistics: Excel to Python A/B Testing: EDUCBA
  • Basic Statistics in Python (Correlations and T-tests): Coursera
  • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
  • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Statistical Analysis and Advanced Techniques: Microsoft
  • Resampling, Selection and Splines: University of Colorado Boulder
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Causal Inference 2: Columbia University

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