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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: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Tensorflow, Artificial Neural Networks, Classification Algorithms, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning Methods, Model Evaluation, Data Preprocessing, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Big Data, Applied Machine Learning, Generative Adversarial Networks (GANs), Machine Learning, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Deep Learning, Model Evaluation, Algorithms, Data Analysis, Process Improvement and Optimization, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    940 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Maryland, College Park

    Public Health Leadership Fundamentals

    Skills you'll gain: Professional Development, Cultural Diversity, Adaptability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Investment Management with Python and Machine Learning

    Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Portfolio Risk, Asset Management, Network Analysis, Data Visualization Software, Investments, Machine Learning Methods, Return On Investment, Unstructured Data, Predictive Modeling, Web Scraping, Machine Learning, Social Network Analysis, Financial Statements, Applied Machine Learning, Financial Market, Financial Modeling, Risk Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science in Real Life

    Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, Statistics, A/B Testing, Statistical Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    ISAE-SUPAERO

    Flight mechanics - The basis

    Skills you'll gain: Mechanics, Simulations, Engineering Calculations, Physics, Applied Mathematics, Engineering Analysis, Systems Of Measurement

    4.7
    Rating, 4.7 out of 5 stars
    ·
    485 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    É

    École normale supérieure

    Statistical Mechanics: Algorithms and Computations

    Skills you'll gain: Sampling (Statistics), Physics, Simulations, Computational Logic, Numerical Analysis, Markov Model, Quantitative Research, Algorithms, Applied Mathematics, Linear Algebra, Integral Calculus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    268 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Differential Equations for Engineers

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

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 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, 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
    C

    Columbia University

    Financial Engineering and Risk Management

    Skills you'll gain: Portfolio Management, Derivatives, Financial Market, Securities (Finance), Investment Management, Asset Management, Credit Risk, Mortgage Loans, Mathematical Modeling, Applied Mathematics, Estimation, Capital Markets, Financial Modeling, Risk Modeling, Portfolio Risk, Regression Analysis, Market Liquidity, Futures Exchange, Risk Management, Actuarial Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    405 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    813 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Introduction to Neural Networks and PyTorch: IBM
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Public Health Leadership Fundamentals: University of Maryland, College Park
  • Investment Management with Python and Machine Learning: EDHEC Business School
  • Data Science in Real Life: Johns Hopkins University
  • Flight mechanics - The basis: ISAE-SUPAERO
  • Statistical Mechanics: Algorithms and Computations: École normale supérieure
  • Differential Equations for Engineers: The Hong Kong University of Science and Technology
  • Machine Learning: Regression: University of Washington
  • Sequences, Time Series and Prediction: DeepLearning.AI

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