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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
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Differential Equations for Engineers

    Skills you'll gain: Differential Equations, Applied Mathematics, Calculus, Integral Calculus, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Vibrations, Algebra

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    644 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI For Everyone (すべての人のためのAIリテラシー講座)

    Skills you'll gain: AI Product Strategy, Artificial Intelligence, AI Enablement, Artificial Neural Networks, Digital Transformation, Machine Learning Methods, AI literacy, Deep Learning, Technical Management, Applied Machine Learning, Machine Learning, Responsible AI, Data Ethics, Business Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    308 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    The Complete Quantum Computing Course for Beginners

    Skills you'll gain: Python Programming, Algorithms, Computer Programming, Theoretical Computer Science, Linear Algebra, Mathematics and Mathematical Modeling, Computer Science, Algebra, Object Oriented Programming (OOP), IBM Cloud, Scripting, Probability, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Mathematical Modeling, Data Structures, Data Manipulation, Probability & Statistics, Applied Mathematics, Software Installation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    103 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Text Retrieval and Search Engines

    Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Applied Machine Learning, Data Engineering, Web Scraping, AI Personalization, Model Evaluation, Machine Learning Algorithms, Web Analytics and SEO, Machine Learning, Model Optimization, Network Analysis, Statistical Methods, Statistical Modeling, Probability & Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    965 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    John Wiley & Sons

    Machine Learning For Dummies

    Skills you'll gain: Data Literacy, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Responsible AI, Data Ethics, Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Model Training, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Deep Learning, Convolutional Neural Networks, Machine Learning Software, Python Programming, Data Preprocessing, Feature Engineering

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Sequences, Time Series and Prediction

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Keras (Neural Network Library), Model Evaluation, Model Training

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Risk Management

    Skills you'll gain: Operational Risk, Credit Risk, Portfolio Risk, Risk Management, Risk Management Framework, Business Risk Management, Risk Modeling, Operational Analysis, Risk Appetite, Risk Mitigation, Governance Risk Management and Compliance, Financial Market, Risk Analysis, Enterprise Risk Management (ERM), Risk Control, Financial Analysis, Financial Statement Analysis, Financial Statements, Derivatives, Governance

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    John Wiley & Sons

    Foundations of Machine Learning: Concepts, Tools, and Math

    Skills you'll gain: Data Literacy, Responsible AI, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Unstructured Data, Generative AI, Machine Learning Algorithms, Model Training, NumPy, Python Programming, Data Science, Scalability, Artificial Intelligence, Supervised Learning, Data Preprocessing, Unsupervised Learning, Feature Engineering, Algorithms

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Mathematical Modeling, Applied Mathematics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    841 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization

    4.5
    Rating, 4.5 out of 5 stars
    ·
    401 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

  • Differential Equations for Engineers: The Hong Kong University of Science and Technology
  • The Nuts and Bolts of Machine Learning: Google
  • AI For Everyone (すべての人のためのAIリテラシー講座): DeepLearning.AI
  • The Complete Quantum Computing Course for Beginners: Packt
  • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
  • Machine Learning For Dummies: John Wiley & Sons
  • Sequences, Time Series and Prediction: DeepLearning.AI
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Risk Management: New York Institute of Finance
  • Foundations of Machine Learning: Concepts, Tools, and Math: John Wiley & Sons

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