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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


  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Physics of Emergence: Introduction to Condensed Matter

    Skills you'll gain: Physics, Physical Science, Materials science, Chemistry, Energy and Utilities, Advanced Mathematics, Mathematical Modeling, electromagnetics, Applied Mathematics, Calculus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Analyze Box Office Data with Seaborn and Python

    Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications

    4.5
    Rating, 4.5 out of 5 stars
    ·
    182 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Software Requirements Prioritization: Risk Analysis

    Skills you'll gain: Security Requirements Analysis, Requirements Analysis, Risk Management Framework, Risking, User Requirements Documents, Scalability, Verification And Validation, Software Visualization, Safety and Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    113 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Electrodynamics: In-depth Solutions for Maxwell’s Equations

    Skills you'll gain: electromagnetics, Electrical Engineering, Electrical Systems, Differential Equations, Electronic Components, Advanced Mathematics, Physics, Engineering Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    120 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Deep Learning, Unsupervised Learning, Embeddings, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Data Storytelling

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Statistical Visualization, Data Visualization Software, Tableau Software, Data Ethics, Exploratory Data Analysis, Scatter Plots, Heat Maps, Data Integrity

    4
    Rating, 4 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Mobilité et urbanisme

    Skills you'll gain: Land Development, Transportation Operations, Spatial Analysis, Systems Thinking, Geospatial Information and Technology, Socioeconomics, Network Analysis, Case Studies, Public Policies

    4.6
    Rating, 4.6 out of 5 stars
    ·
    121 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Cryptographic Hash and Integrity Protection

    Skills you'll gain: Cryptography, Data Integrity, Encryption, Authentications, Information Assurance, Data Security, Public Key Cryptography Standards (PKCS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    99 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Random Processes

    Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Correlation Analysis, Engineering Analysis, Digital Signal Processing, Statistical Analysis, Reliability, Engineering, Spatial Analysis

    Mixed · Course · 1 - 4 Weeks

1…159160161…280

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

  • Deep Learning with PyTorch : Siamese Network: Coursera
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • The Physics of Emergence: Introduction to Condensed Matter: University of Colorado Boulder
  • Analyze Box Office Data with Seaborn and Python: Coursera
  • Software Requirements Prioritization: Risk Analysis: University of Colorado System
  • Electrodynamics: In-depth Solutions for Maxwell’s Equations: Korea Advanced Institute of Science and Technology(KAIST)
  • Advanced PyTorch Techniques and Applications: Packt
  • Data Storytelling: University of California, Irvine
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Mobilité et urbanisme: École Polytechnique Fédérale de Lausanne

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