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Applied Statistics Courses Online

Understand applied statistics for data analysis and interpretation. Learn statistical methods and tools for various industries.

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Explore the Applied Statistics Course Catalog

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Response Surfaces, Mixtures, and Model Building

    Skills you'll gain: Regression Analysis, Experimentation, Statistical Methods, Statistical Analysis, Statistical Modeling, Research Design, Statistical Software, Mathematical Modeling, Analysis, Data Analysis Software

    4.7
    Rating, 4.7 out of 5 stars
    ·
    67 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Particle Filters (and Navigation)

    Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Global Positioning Systems, Mathematical Modeling, Applied Mathematics, Computational Thinking, Engineering Analysis, Algorithms, Computer Programming Tools

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Capstone Project: Applying Business Analysis Skills

    Skills you'll gain: Risk Mitigation, Business Process Modeling, Stakeholder Analysis, Risk Analysis, Project Scoping, Stakeholder Management, Process Flow Diagrams, Risk Management, Work Breakdown Structure, Stakeholder Engagement, Scope Management, Business Requirements, Presentations, Requirements Elicitation, Business Analysis, Looker (Software), Requirements Analysis, Project Management, Process Optimization, Data Analysis Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Spacecraft Formation Relative Orbits

    Skills you'll gain: Control Systems, Systems Engineering, Mechanics, Numerical Analysis, Differential Equations, Mathematical Modeling, Simulation and Simulation Software, Engineering Analysis, Simulations, Advanced Mathematics, Linear Algebra, Engineering Design Process, Engineering Calculations, Mathematical Software, Applied Mathematics, Physics, Calculus, Mathematical Theory & Analysis

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Advanced · Specialization · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Data Processing, Data Manipulation, Visualization (Computer Graphics), Tensorflow, Applied Machine Learning, Computer Vision, Deep Learning, Python Programming, Machine Learning

    4
    Rating, 4 out of 5 stars
    ·
    10 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Job & Exam Aptitude Mastery: Reasoning | DI | Verbal | Quant

    Skills you'll gain: Problem Solving, Vocabulary, Logical Reasoning, Critical Thinking, Data Literacy, Decision Making, Deductive Reasoning, Data Analysis, Analytical Skills, Grammar, Arithmetic, English Language, Case Studies, Complex Problem Solving, Literacy, Learning Strategies, Data-Driven Decision-Making, Verbal Communication Skills, Quantitative Research, Applied Mathematics

    3
    Rating, 3 out of 5 stars
    ·
    8 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Random Forest Algorithm, Bayesian Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust for Large Language Model Operations (LLMOps)

    Skills you'll gain: Large Language Modeling, Generative AI, Rust (Programming Language), MLOps (Machine Learning Operations), AWS SageMaker, PyTorch (Machine Learning Library), CI/CD, Prompt Engineering, Applied Machine Learning, Application Deployment, Natural Language Processing, DevOps, Amazon Web Services, Machine Learning, Deep Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineer, Big Data and ML on Google Cloud en Français

    Skills you'll gain: Dataflow, Real Time Data, Google Cloud Platform, Data Pipelines, Data Import/Export, Looker (Software), PySpark, Tensorflow, Data Lakes, Apache Spark, Dashboard, Data Warehousing, Big Data, Data Infrastructure, Cloud Infrastructure, Feature Engineering, Data Storage, Applied Machine Learning, Data Processing, Data Architecture

    4.4
    Rating, 4.4 out of 5 stars
    ·
    58 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Introduction to Data Science Techniques

    Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Machine Learning Algorithms, Data Visualization, Exploratory Data Analysis, Statistical Programming, Statistical Methods, Statistical Machine Learning, Data Cleansing, Analytics, Regression Analysis, R (Software), Statistical Software, Forecasting, Data Science, Statistical Modeling, Supervised Learning, Statistical Inference, Machine Learning

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    19 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Response Surfaces, Mixtures, and Model Building: Arizona State University
  • Particle Filters (and Navigation): University of Colorado System
  • Capstone Project: Applying Business Analysis Skills : IBM
  • Spacecraft Formation Relative Orbits: University of Colorado Boulder
  • Build a Machine Learning Image Classifier with Python: Coursera
  • Job & Exam Aptitude Mastery: Reasoning | DI | Verbal | Quant: Board Infinity
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Rust for Large Language Model Operations (LLMOps): Duke University
  • Data Science Fundamentals, Part 1: Pearson
  • Data Engineer, Big Data and ML on Google Cloud en Français: Google Cloud

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