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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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    Duke University

    Data Science Math Skills

    Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

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    Cleveland Clinic

    Computer Vision and Sequence Analysis in Machine Learning

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Healthcare 5.0, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Health Informatics, Data Structures

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra

    4.6
    Rating, 4.6 out of 5 stars
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    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Data Analysis with Python

    Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Import/Export, Data Manipulation, Data Transformation, Predictive Modeling, Data Cleansing, Data Preprocessing, Model Evaluation, Predictive Analytics, Pandas (Python Package), Regression Analysis, Feature Engineering, Statistical Analysis, Matplotlib, Scikit Learn (Machine Learning Library), Data Visualization, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    20K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, CI/CD, Model Evaluation, Applied Machine Learning, Apache Airflow, Data Migration, Data Cleansing, Data Quality, Data Lakes, AI Enablement, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    Johns Hopkins University

    Neuroscience and Neuroimaging

    Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, X-Ray Computed Tomography, Data Manipulation, Radiology, Analytical Skills, Experimentation, Statistical Analysis, Biomedical Technology, Advanced Analytics, Network Analysis, R Programming, Data Processing, Research Design, Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
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    190 reviews

    Advanced · Course · 1 - 3 Months

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    E

    EDUCBA

    Apply R for Predictive Analytics and Machine Learning

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Data Mining, Statistical Modeling, Risk Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Decision Tree Learning, Data Preprocessing, Data Cleansing, Probability & Statistics, Transaction Processing, Applied Machine Learning, Machine Learning

    Beginner · Specialization · 1 - 3 Months

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    Coursera

    Balance and Analyze Image Segmentation

    Skills you'll gain: Failure Analysis, Applied Machine Learning, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Michigan

    Data Science Ethics

    Skills you'll gain: Data Ethics, Data Analysis, Bayesian Statistics, Policy Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    1.3K reviews

    Beginner · Course · 1 - 3 Months

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    Northwestern University

    Fundamentals of Digital Image and Video Processing

    Skills you'll gain: Digital Signal Processing, Image Analysis, Computer Vision, Visualization (Computer Graphics), Matlab, Mathematical Modeling, Color Theory, Applied Mathematics

    4.6
    Rating, 4.6 out of 5 stars
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    1.8K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Tools for Define and Measure

    Skills you'll gain: Data Collection, Lean Six Sigma, Six Sigma Methodology, Quality Improvement, Process Improvement, Business Process, Project Management, Project Planning, Customer experience improvement, Process Mapping, Statistics, Statistical Analysis, Stakeholder Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    2.6K reviews

    Beginner · Course · 1 - 4 Weeks

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1…262728…273

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

  • Data Science Math Skills: Duke University
  • Computer Vision and Sequence Analysis in Machine Learning: Cleveland Clinic
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Data Analysis with Python: IBM
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Neuroscience and Neuroimaging: Johns Hopkins University
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Apply R for Predictive Analytics and Machine Learning: EDUCBA
  • Balance and Analyze Image Segmentation: Coursera
  • Data Science Ethics: University of Michigan

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