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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: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Python for Data Science (and Version Control with GitHub)

    Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Seaborn, Python Programming, NumPy, Data Analysis, Programming Principles, Data Cleansing, Exploratory Data Analysis

    3.9
    Rating, 3.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    N

    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Supervised Learning, Model Evaluation

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI Beginner Part 2 : Vector Calulus

    Skills you'll gain: Engineering Calculations, Applied Mathematics, Engineering Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematical Modeling, Advanced Mathematics, Machine Learning

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    CSS3 Flexbox - Mastering the Basics

    Skills you'll gain: Cascading Style Sheets (CSS), Front-End Web Development, HTML and CSS, Web Design and Development, Responsive Web Design

    4.2
    Rating, 4.2 out of 5 stars
    ·
    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • Status: New
    New
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    E

    EDUCBA

    Lean Six Sigma: Define, Analyze & Improve

    Skills you'll gain: Lean Six Sigma, Process Mapping, Quality Improvement, Root Cause Analysis, Process Improvement, Strategic Leadership, Business Leadership, Organizational Change, Change Management, Descriptive Statistics, Continuous Improvement Process, Performance Measurement, Business Priorities, Statistical Analysis, Process Design

    Mixed · Course · 1 - 3 Months

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

    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Structures for Designers Using Python

    Skills you'll gain: Object Oriented Programming (OOP), Software Design, Program Development, Data Structures, Visualization (Computer Graphics), Graphic and Visual Design, Computer Graphics, Creative Design, Python Programming, Algorithms, Linear Algebra, Simulations, Spatial Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Amsterdam

    Try RRI! A guide for Responsible Research and Innovation

    Skills you'll gain: Research, Social Impact, Innovation, Policty Analysis, Research, and Development, Case Studies, Open Mindset, Stakeholder Engagement, Empathy & Emotional Intelligence, Collaboration, Diversity and Inclusion

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    EDUCBA

    Mastering Total Quality Management: Analyze, Apply & Improve

    Skills you'll gain: Quality Management, Culture Transformation, Quality Improvement, Continuous Improvement Process, Operational Excellence, Quality Assurance, Process Improvement, Cost Management, Customer experience strategy (CX), Benchmarking, Team Oriented, Employee Engagement

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Regression Analysis

    Skills you'll gain: Regression Analysis, Supervised Learning, Model Evaluation, Logistic Regression, Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Feature Engineering, Data Preprocessing, Exploratory Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Python for Data Science (and Version Control with GitHub): Coursera
  • Machine Learning with Small Data Part 1: Northeastern University
  • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
  • CSS3 Flexbox - Mastering the Basics: Coursera
  • Deep Learning with Keras and Practical Applications: Packt
  • Lean Six Sigma: Define, Analyze & Improve: EDUCBA
  • Real-World Applications & Model Deployment in Java : Board Infinity
  • Data Structures for Designers Using Python: University of Michigan
  • Try RRI! A guide for Responsible Research and Innovation: University of Amsterdam
  • Mastering Total Quality Management: Analyze, Apply & Improve: EDUCBA

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