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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


  • Status: Free Trial
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    V

    Vanderbilt University

    Introduction to Data, Signal, and Image Analysis with MATLAB

    Skills you'll gain: Image Analysis, Data Visualization Software, Matlab, Applied Machine Learning, Scatter Plots, Digital Signal Processing, Data Analysis, Histogram, Predictive Modeling, Data Processing, Classification Algorithms, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    230 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    É

    École Polytechnique

    Wind resources for renewable energies

    Skills you'll gain: Hydraulics, Real Time Data, Physical Science, Estimation, Mathematical Modeling, Environmental Engineering, Engineering Analysis, Applied Mathematics, Systems Of Measurement, Mechanics

    3.6
    Rating, 3.6 out of 5 stars
    ·
    130 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Investments I: Fundamentals of Performance Evaluation

    Skills you'll gain: Investment Management, Investments, Finance, Portfolio Management, Business Valuation, Financial Modeling, Financial Market, Equities, Return On Investment, Financial Analysis, Portfolio Risk, Asset Management, Microsoft Excel, Regression Analysis, Risk Analysis, Performance Analysis, Estimation, Cash Flows

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    926 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Introducción a la inteligencia artificial

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Unsupervised Learning, Bayesian Network, Machine Learning Methods, Computational Logic, Program Development, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Game Theory, Theoretical Computer Science, Software Development, Generative AI, Social Sciences

    4.6
    Rating, 4.6 out of 5 stars
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    639 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    C

    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
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    15 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Engineering Project Management: Scope, Time and Cost Management

    Skills you'll gain: Project Scoping, Cost Management, Scope Management, Project Estimation, Project Schedules, Earned Value Management, Scheduling, Work Breakdown Structure, Requirements Management, Timelines, Change Management, Budget Management, Project Management, Planning, Project Documentation

    4.8
    Rating, 4.8 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    U

    University of Colorado Boulder

    Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    35 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
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    176 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
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    352 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cluster Analysis in Data Mining

    Skills you'll gain: Unsupervised Learning, Data Mining, Applied Machine Learning, Machine Learning Algorithms, Model Evaluation, Statistical Methods, Algorithms, Data Structures, Data Visualization

    4.5
    Rating, 4.5 out of 5 stars
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    408 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Recurrent Neural Networks (RNNs), Machine Learning Algorithms, Model Evaluation, Exploratory Data Analysis, Dimensionality Reduction, Convolutional Neural Networks, Applied Machine Learning, Generative Adversarial Networks (GANs), Decision Tree Learning, Autoencoders, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Classification Algorithms, Artificial Neural Networks, Data Science, Machine Learning, Python Programming

    Build toward a degree

    3.4
    Rating, 3.4 out of 5 stars
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    129 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction, Model Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    57 reviews

    Intermediate · Course · 1 - 3 Months

Searches related to applied statistics

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

  • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
  • Wind resources for renewable energies: École Polytechnique
  • Investments I: Fundamentals of Performance Evaluation: University of Illinois Urbana-Champaign
  • Introducción a la inteligencia artificial: Universidad Nacional Autónoma de México
  • Causal Inference 2: Columbia University
  • Engineering Project Management: Scope, Time and Cost Management: Rice University
  • Computer Vision: University of Colorado Boulder
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • IBM AI Enterprise Workflow: IBM
  • Cluster Analysis in Data Mining: University of Illinois Urbana-Champaign

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