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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
    G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Northwestern University

    Modern Robotics: Mechanics, Planning, and Control

    Skills you'll gain: Robotics, Machine Controls, Control Systems, Mathematical Modeling, Mathematical Software, Simulation and Simulation Software, Engineering, Mechanics, Mechanical Engineering, Applied Mathematics, Numerical Analysis, Simulations, Process Control, Virtual Environment, Torque (Physics), Graph Theory, Matlab, Algorithms, Engineering Calculations, Physics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    B

    Board Infinity

    Mastering Tabular ML: Feature Engineering to Production

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Machine Learning Methods, Classification And Regression Tree (CART), Applied Machine Learning, Statistical Machine Learning, Model Training, Machine Learning, Supervised Learning, Data Preprocessing, Model Optimization, Predictive Modeling, Model Evaluation, Model Deployment, Data Wrangling, Data Synthesis, Data Transformation, Exploratory Data Analysis, Data Validation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    M

    Madecraft

    Starting a Data Science Career

    Skills you'll gain: Professional Networking, Statistical Reporting, Data Validation, Technical Communication, Data Cleansing, Data Science, Data Quality, Data Maintenance, Interviewing Skills, Data Ethics, Data Collection, Sampling (Statistics), Data Analysis, Data Analysis Software, Data Wrangling, Blogs, Data Presentation, Jupyter, Pandas (Python Package), Python Programming

    Beginner · Specialization · 3 - 6 Months

  • U

    Universidad de los Andes

    Fundamentos de probabilidad y aplicaciones

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Applied Mathematics, Risk Management, Risk Modeling, Statistical Modeling, Combinatorics, Statistical Analysis, Variance Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    180 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Building Cloud Computing Solutions at Scale

    Skills you'll gain: Cloud Deployment, Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Technologies, Cloud Services, Cloud Hosting, CI/CD, Cloud Platforms, Cloud Computing, Azure DevOps Pipelines, Application Deployment, Cloud Engineering, Software Engineering, Cloud Development, Continuous Delivery, Applied Machine Learning, Cloud API, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, Spreadsheet Software, Microsoft Excel, Statistical Methods, Descriptive Statistics, Statistics, Algorithms, Computer Programming

    4.4
    Rating, 4.4 out of 5 stars
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    660 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Rochester

    Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics

    Skills you'll gain: Basic Electrical Systems, Music, Electrical Engineering, Electronics, Electronic Components, Electronic Hardware, Electronics Engineering, Electronic Systems, Music Theory, Electrical Systems, Hardware Design, Electrical Wiring, Vibrations, General Construction and Construction Labor, Engineering Analysis, Engineering Calculations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    597 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Certified Agile Practitioner (PMI-ACP®) Training

    Skills you'll gain: Agile Software Development, Sprint Retrospectives, Scaled Agile Framework, Organizational Change, Agile Project Management, Kanban Principles, Backlogs, Project Risk Management, Team Motivation, Agile Methodology, People Development, Change Management, User Story, Team Performance Management, Business Transformation, Organizational Development, Project Management Institute (PMI) Methodology, Workflow Management, Agile Product Development, Performance Metric

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Introduction to Software Product Management

    Skills you'll gain: Agile Software Development, Agile Methodology, Requirements Analysis, Software Development, Product Requirements, Requirements Management, Product Management, Software Development Methodologies, Software Engineering, Project Planning, Process Development, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.8K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Microsoft Azure, Data Ethics, Natural Language Processing, AI Workflows, Computer Vision, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Model Training, Regression Analysis, Artificial Intelligence, No-Code Development, AI literacy, Predictive Modeling, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.6K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Modern Robotics: Mechanics, Planning, and Control: Northwestern University
  • Mastering Tabular ML: Feature Engineering to Production: Board Infinity
  • Starting a Data Science Career: Madecraft
  • Fundamentos de probabilidad y aplicaciones: Universidad de los Andes
  • Building Cloud Computing Solutions at Scale: Duke University
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics: University of Rochester
  • Certified Agile Practitioner (PMI-ACP®) Training: Packt
  • Introduction to Machine Learning: Duke University

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