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  • Applied Statistics

Applied Statistics Courses

Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.


Popular Applied Statistics Courses and Certifications


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    Columbia University

    Causal Inference 2

    Skills you'll gain: Statistical Inference, Econometrics, Mediation, 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
    ·
    15 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Model Evaluation, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    190 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Wrangling with Python

    Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data Transformation, Data Cleansing, Data Preprocessing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    38 reviews

    Beginner · Specialization · 3 - 6 Months

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    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
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    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Korea Advanced Institute of Science and Technology(KAIST)

    Electrodynamics: Analysis of Electric Fields

    Skills you'll gain: electromagnetics, Electrical Engineering, Materials science, Engineering Analysis, Applied Mathematics, Scientific Visualization, Visualization (Computer Graphics), Engineering Calculations, Differential Equations, Physics, Energy and Utilities, Mathematical Modeling, Calculus

    4.8
    Rating, 4.8 out of 5 stars
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    171 reviews

    Advanced · Course · 1 - 3 Months

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    The University of Edinburgh

    Intellectual Humility: Theory

    Skills you'll gain: Self-Awareness, Curiosity, Open Mindset, Cognitive flexibility, Emotional Intelligence, Ethical Standards And Conduct, Learning Theory, Psychology, Psychological Evaluations, Surveys, Software Testing

    4.5
    Rating, 4.5 out of 5 stars
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    374 reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Data Cleaning in Excel: Techniques to Clean Messy Data

    Skills you'll gain: Data Analysis, Data Cleansing, Microsoft Excel, Exploratory Data Analysis, Data Manipulation, Data Preprocessing, Data Quality, Excel Formulas

    4.4
    Rating, 4.4 out of 5 stars
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    58 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures

    3.8
    Rating, 3.8 out of 5 stars
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    60 reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Pennsylvania

    Social Norms, Social Change II

    Skills you'll gain: Policy Analysis, Social Impact, Social Sciences, Sociology, Community Development, Cultural Diversity, Trend Analysis, Psychology, Media and Communications

    4.8
    Rating, 4.8 out of 5 stars
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    453 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Simplilearn

    Data Analytics Course with Generative AI

    Skills you'll gain: Exploratory Data Analysis, Generative AI, Analytics, Data Analysis, Extract, Transform, Load, Data Integration, Interactive Data Visualization, Data Visualization, Real Time Data, Predictive Analytics, Data-Driven Decision-Making, Data Storytelling, Predictive Modeling, Forecasting, Data Transformation, Descriptive Analytics, Data Modeling, Data Quality, Risk Analysis, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 4 Weeks

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    The University of North Carolina at Chapel Hill

    Reasoning Across the Disciplines

    Skills you'll gain: Chemistry, Social Sciences, Legal Research, Case Law, World History, Liberal Arts, Psychology, Case Studies, Research

    4.4
    Rating, 4.4 out of 5 stars
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    72 reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular applied statistics courses

  • Causal Inference 2: Columbia University
  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Data Wrangling with Python: University of Colorado Boulder
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Electrodynamics: Analysis of Electric Fields: Korea Advanced Institute of Science and Technology(KAIST)
  • Intellectual Humility: Theory: The University of Edinburgh
  • Data Cleaning in Excel: Techniques to Clean Messy Data: Coursera
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • Social Norms, Social Change II: University of Pennsylvania
  • Tweet Emotion Recognition with TensorFlow: Coursera

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