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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
    C

    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Spatial Data Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Fundamentals for Designers

    Skills you'll gain: Interactive Data Visualization, Interactive Design, Programming Principles, Visualization (Computer Graphics), Python Programming, Graphic and Visual Design, Computer Graphics, Computational Logic, Software Design, Computer Programming, Computational Thinking, File I/O, Data Structures, Animations

    5
    Rating, 5 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Agile Project Management

    Skills you'll gain: Agile Project Management, Scrum (Software Development), Sprint Planning, Emotional Intelligence, Backlogs, Scaled Agile Framework, Negotiation, Sprint Retrospectives, Agile Software Development, Program Management, Brainstorming, Prioritization, User Story, Creative Thinking, Innovation, Project Portfolio Management, Leadership, Organizational Leadership, Problem Solving, Project Controls

    4.1
    Rating, 4.1 out of 5 stars
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    20 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    University of Maryland, College Park

    Cómo combinar y analizar datos complejos

    Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Measuring Total Data Quality

    Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Collection, Data Processing, Data Analysis, Data Integrity, Model Evaluation, Data Access, Statistical Analysis, Sampling (Statistics)

    4.5
    Rating, 4.5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Introduction to On-Device AI

    Skills you'll gain: Model Deployment, Performance Testing, Android Development, Transfer Learning, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Hardware Architecture, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence

    4.3
    Rating, 4.3 out of 5 stars
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    23 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: New
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    E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Building Regression Models with Linear Algebra

    Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Applied Mathematics, Machine Learning Methods, Linear Algebra, Model Evaluation, Statistical Analysis, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Institut Mines-Télécom

    Traitement d'images : introduction au filtrage

    Skills you'll gain: Image Quality, Image Analysis, Computer Vision, Digital Signal Processing, Python Programming, Computer Programming, Medical Imaging, Mathematics and Mathematical Modeling, Algorithms, Computer Science, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    N

    Northeastern University

    Practical AI for Professionals

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, AI Enablement, Artificial Intelligence, Responsible AI, Data Analysis, Descriptive Statistics, Technology Strategies, Business Strategy, Machine Learning, Data Management, Data Preprocessing, Computer Vision, Unstructured Data, Predictive Modeling, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    Northwestern University

    현대 로봇공학, 강좌 1: 로봇 동작의 기초

    Skills you'll gain: Robotics, Mathematical Modeling, Mechanics, Simulation and Simulation Software, Engineering Calculations, Applied Mathematics, Matlab, Linear Algebra, Computer Programming Tools, Spatial Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    O

    O.P. Jindal Global University

    Artificial Intelligence

    Skills you'll gain: Machine Learning Algorithms, Classification Algorithms, AI Enablement, Artificial Intelligence, Computational Logic, Machine Learning, Natural Language Processing, Business Strategy, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Strategic Decision-Making, Algorithms, Bayesian Network, Complex Problem Solving, Probability & Statistics

    Build toward a degree

    Mixed · Course · 3 - 6 Months

Searches related to applied statistics

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

  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Python Fundamentals for Designers: University of Michigan
  • Agile Project Management: University of Maryland, College Park
  • Cómo combinar y analizar datos complejos: University of Maryland, College Park
  • Measuring Total Data Quality: University of Michigan
  • Introduction to On-Device AI: DeepLearning.AI
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Building Regression Models with Linear Algebra: Howard University
  • Traitement d'images : introduction au filtrage: Institut Mines-Télécom
  • Practical AI for Professionals: Northeastern University

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