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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
    U

    University of Colorado Boulder

    Phases of Matter: Solid, Liquid, Gas and Beyond

    Skills you'll gain: Physics, Physical Science, Materials science, Chemistry, Energy and Utilities, Mathematical Modeling, Applied Mathematics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    BIM Fundamentals: Smarter Building Design & Planning

    Skills you'll gain: Autodesk Revit, Building Information Modeling, Document Management, Construction, Engineering Documentation, Architectural Drawing, Project Coordination, Computer-Aided Design, Digital Transformation, Architectural Design, Construction Management, Collaboration, 3D Modeling, Data Modeling, Coordination, Visualization (Computer Graphics), Data Visualization

    4.2
    Rating, 4.2 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Physics of Oscillators and Waves

    Skills you'll gain: Mechanics, Physics, Vibrations, Advanced Mathematics, Differential Equations, Calculus, Trigonometry, Applied Mathematics, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Machine Learning Methods, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Health Informatics, Unsupervised Learning, Model Evaluation, Medical Imaging, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Random Processes

    Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Correlation Analysis, Engineering Analysis, Digital Signal Processing, Statistical Analysis, Reliability, Engineering, Spatial Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Social Computing

    Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Machine Learning, Applied Machine Learning, Research, Model Evaluation, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Driving engagement, Machine Learning Methods, Behavioral Economics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Alteryx Advanced

    Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Machine Learning, Data Pipelines, Data Preprocessing, Feature Engineering, Sampling (Statistics), Data Integration, Model Evaluation, Workflow Management, Complex Problem Solving

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    ESSEC Business School

    Capstone: Create Value from Open Data

    Skills you'll gain: Peer Review, Analytical Skills, Complex Problem Solving, Data Analysis, Data Storytelling, Value Propositions, Data Integration, Exploratory Data Analysis, Data-Driven Decision-Making, Data Visualization, Presentations

    4.2
    Rating, 4.2 out of 5 stars
    ·
    55 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    GRAMMY GO

    Building Your Audience for Music Professionals

    Skills you'll gain: Marketing Budgets, Digital Media Strategy, Media Strategy, Professional Networking, Content Strategy, Promotional Strategies, Branding, Marketing Analytics, Brand Strategy, Brand Awareness, Budget Management, Marketing Design, Customer Engagement, Content Marketing, Target Audience, Digital Marketing, Marketing Strategies, Trend Analysis, Social Media Strategy, Customer Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Phases of Matter: Solid, Liquid, Gas and Beyond: University of Colorado Boulder
  • BIM Fundamentals: Smarter Building Design & Planning: Coursera
  • Physics of Oscillators and Waves: Rice University
  • Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Random Processes: Johns Hopkins University
  • Introduction to Machine Learning with Python: Arizona State University
  • Social Computing: Johns Hopkins University
  • Alteryx Advanced: Packt
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Capstone: Create Value from Open Data: ESSEC Business School

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