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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


  • U

    University of Pennsylvania

    Wharton Business and Financial Modeling Capstone

    Skills you'll gain: Portfolio Management, Financial Modeling, Presentations, Microsoft PowerPoint, Investment Management, Business Modeling, Data Modeling, Quantitative Research, Business Analytics, Financial Data, Portfolio Risk, Microsoft Excel, Financial Analysis, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    522 reviews

    Mixed · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • S

    SAS

    SAS Visual Business Analytics

    Skills you'll gain: SAS (Software), Network Analysis, Trend Analysis, Data Manipulation, Data Analysis, Forecasting, Data Quality, Text Mining, Data Visualization Software, Spatial Analysis, Dashboard, Analysis, Data Mapping, Analytics, Data Visualization, Time Series Analysis and Forecasting, Business Analytics, Interactive Data Visualization, Data-Driven Decision-Making, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • C

    Caltech

    Pricing Options with Mathematical Models

    Skills you'll gain: Derivatives, Financial Market, Mathematical Modeling, Financial Modeling, Credit Risk, Risk Management, Markov Model, Portfolio Management, Probability, Advanced Mathematics, Differential Equations, Applied Mathematics, Probability Distribution, Calculus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    39 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    217 reviews

    Advanced · Course · 1 - 3 Months

  • N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    681 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    170 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Reproducible Research

    Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Data Literacy, Quantitative Research, General Science and Research, Statistical Reporting, Data Analysis, Exploratory Data Analysis, R Programming, Verification And Validation, Technical Communication

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • 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
    ·
    494 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    A Crash Course in Causality: Inferring Causal Effects from Observational Data

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Data Analysis, Quantitative Research, Regression Analysis, Research Design, Graph Theory

    4.7
    Rating, 4.7 out of 5 stars
    ·
    571 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • S

    Shanghai Jiao Tong University

    Mandarin Chinese for Intermediate Learners: Part 3

    Skills you'll gain: Language Learning, Language Competency, Oral Expression, Vocabulary, Culture, Oral Comprehension, Grammar

    4.6
    Rating, 4.6 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

1…868788…279

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

  • Wharton Business and Financial Modeling Capstone: University of Pennsylvania
  • Practical Machine Learning: Johns Hopkins University
  • SAS Visual Business Analytics: SAS
  • Pricing Options with Mathematical Models: Caltech
  • DevOps, DataOps, MLOps: Duke University
  • Guided Tour of Machine Learning in Finance: New York University
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • Reproducible Research: Johns Hopkins University
  • Flight mechanics - The basis: ISAE-SUPAERO
  • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania

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