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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.


More to explore:

Popular Applied Statistics Courses and Certifications


  • Status: Preview
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    É

    École Polytechnique Fédérale de Lausanne

    Mécanique Lagrangienne

    Skills you'll gain: Mechanics, Vibrations, Engineering Analysis, Advanced Mathematics, Physics, Engineering Calculations, Differential Equations, Linear Algebra, Calculus, Mathematical Modeling, Applied Mathematics, Experimentation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    37 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    34 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    I

    Infosec

    Advanced Python Scripting for Cybersecurity

    Skills you'll gain: Network Analysis, Network Security, Cyber Operations, Intrusion Detection and Prevention, MITRE ATT&CK Framework, Cybersecurity, Threat Detection, Network Monitoring, Penetration Testing, Anomaly Detection, Brute-force attacks, Scripting, Authentications, Vulnerability Assessments, Python Programming, Data Access, System Monitoring, Systems Analysis, Automation

    4.5
    Rating, 4.5 out of 5 stars
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    76 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    S

    SAS

    Regression Modeling Fundamentals

    Skills you'll gain: Logistic Regression, Predictive Modeling, SAS (Software), Statistical Modeling, Regression Analysis, Model Evaluation, Statistical Analysis, Data Analysis, Model Deployment, Data Preprocessing, Statistical Methods, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    H

    Howard University

    Introduction to Linear Algebra and Python

    Skills you'll gain: Linear Algebra, Data Visualization, Applied Mathematics, NumPy, Jupyter, Mathematical Modeling, Data Science, Python Programming, Software Installation, Data Manipulation, Git (Version Control System)

    4.3
    Rating, 4.3 out of 5 stars
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    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Generative AI Foundations

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Applied Machine Learning

    3.9
    Rating, 3.9 out of 5 stars
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    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
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    53 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Building Candlestick Charts with Google Sheets

    Skills you'll gain: Technical Analysis, Google Sheets, Market Data, Data Visualization, Trend Analysis, Web Scraping, Data Visualization Software

    4.2
    Rating, 4.2 out of 5 stars
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    299 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning and NLP Basics

    Skills you'll gain: Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Natural Language Processing, Applied Machine Learning, Convolutional Neural Networks, Supervised Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Classification Algorithms, Data Science, Data Preprocessing

    3.3
    Rating, 3.3 out of 5 stars
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    32 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

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    P

    Pontificia Universidad Católica de Chile

    Equilibrio, ¿por qué se caen las cosas?

    Skills you'll gain: Structural Analysis, Mechanics, Engineering Analysis, Mathematical Modeling, Applied Mathematics, Geometry, Engineering Calculations, Schematic Diagrams, Trigonometry, Physics, General Mathematics

    4.5
    Rating, 4.5 out of 5 stars
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    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to R Programming and Tidyverse

    Skills you'll gain: Rmarkdown, Ggplot2, Data Visualization, Tidyverse (R Package), R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis, Data Transformation, Software Installation, Programming Principles

    4.2
    Rating, 4.2 out of 5 stars
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    49 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Mécanique Lagrangienne: École Polytechnique Fédérale de Lausanne
  • Deep Learning for Computer Vision: MathWorks
  • Advanced Python Scripting for Cybersecurity: Infosec
  • Regression Modeling Fundamentals: SAS
  • Introduction to Linear Algebra and Python: Howard University
  • Generative AI Foundations: Edureka
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Building Candlestick Charts with Google Sheets: Coursera
  • Machine Learning and NLP Basics: Edureka
  • Introduction to Python for Scientific Computing: University of Colorado Boulder

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