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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
    J

    Johns Hopkins University

    Honors Algebra 2: Algebraic, Exponential & Log Functions

    Skills you'll gain: Algebra, Applied Mathematics, Graphing, Mathematical Modeling, Advanced Mathematics, Calculus, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Generative AI Using SAS

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Responsible AI, Embeddings, Data Synthesis, SAS (Software), Text Mining, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Algoritmos de negociación basados en machine learning​

    Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Performance Measurement, Capital Markets, Investment Management, Investments, Market Data, Statistical Machine Learning, Financial Analysis, Model Evaluation, Machine Learning, Classification Algorithms, Trend Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    38 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Configuration Management, Image Analysis, Multimodal Prompts, Debugging, Benchmarking, Experimentation, Computer Vision, Algorithms, Data Visualization, Deep Learning, Applied Machine Learning, Performance Tuning, Tensorflow, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Cost Management, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Machine Learning Essentials for Business and Technical Decision Makers

    Skills you'll gain: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    The Simplest Guideâ„¢ to Clinical Data Analysis with SAS

    Skills you'll gain: Clinical Trials, Clinical Data Management, Clinical Research, Case Report Forms, SAS (Software), Statistical Reporting, Data Analysis, Statistical Analysis, Informed Consent, Data Manipulation, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Beginners Guide to C# Fundamentals

    Skills you'll gain: Debugging, Version Control, C# (Programming Language), Microsoft Copilot, Event-Driven Programming, Git (Version Control System), Object Oriented Programming (OOP), .NET Framework, Software Design Patterns, Software Architecture, Application Deployment, Microsoft Visual Studio, Software Testing, Application Development, ASP.NET, Software Design, Secure Coding, Postman API Platform, Software Development Tools, AI Workflows

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning for Smart Beta

    Skills you'll gain: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Model Evaluation, Supervised Learning, Asset Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Ball State University

    Statistical Methods for Data Science

    Skills you'll gain: Statistical Methods, Probability & Statistics, Statistical Modeling, Statistical Programming, Statistical Analysis, Probability Distribution, Statistical Inference, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, R Programming, Dimensionality Reduction, Simulations, Statistical Visualization

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Introduction to Archaeology : Archaeology as Science

    Skills you'll gain: Timelines, Ancient History, Scientific Methods, World History, Anthropology, General Science and Research, Environmental Science, Investigation, Environment, Spatial Analysis, Geographic Information Systems, Research, Geospatial Information and Technology, Research Methodologies, Data Collection, Biology

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Data Balancing with Gen AI: Credit Card Fraud Detection

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Data Preprocessing, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Visualization, Data Synthesis, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Diabetes Prediction With Pyspark MLLIB

    Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Classification And Regression Tree (CART), Data Science, Machine Learning, Google Cloud Platform, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Honors Algebra 2: Algebraic, Exponential & Log Functions: Johns Hopkins University
  • Generative AI Using SAS: SAS
  • Algoritmos de negociación basados en machine learning​: Universidad de los Andes
  • Systematic ML Optimization: Coursera
  • Machine Learning Essentials for Business and Technical Decision Makers: Amazon Web Services
  • The Simplest Guideâ„¢ to Clinical Data Analysis with SAS: Packt
  • Beginners Guide to C# Fundamentals: Microsoft
  • Machine Learning for Smart Beta: Sungkyunkwan University
  • Statistical Methods for Data Science: Ball State University
  • Introduction to Archaeology : Archaeology as Science: Rice University

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