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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
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    J

    Johns Hopkins University

    Honors Algebra 2: Series, Trigonometry, and Probability

    Skills you'll gain: Trigonometry, Probability, Data Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Statistics, Geometry, Arithmetic

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Healthcare 5.0, Recurrent Neural Networks (RNNs), Applied Machine Learning, Time Series Analysis and Forecasting, Machine Learning, Convolutional Neural Networks, Responsible AI, Electocardiography, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 4 Weeks

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    I

    Icahn School of Medicine at Mount Sinai

    Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

    Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Integration, Unsupervised Learning, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API

    4.8
    Rating, 4.8 out of 5 stars
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    26 reviews

    Intermediate · Course · 3 - 6 Months

  • P

    Packt

    Alteryx for Beginners

    Skills you'll gain: Alteryx, Spatial Analysis, Data Cleansing, Data Import/Export, Data Manipulation, Geographic Information Systems, Data Wrangling, Data Preprocessing, Data Integration, Data Transformation, Data Analysis, Microsoft Excel, Text Mining, Data Visualization Software, Excel Formulas

    4.2
    Rating, 4.2 out of 5 stars
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    27 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
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    G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Transformation, Data Store, Applied Machine Learning, Keras (Neural Network Library), Data Modeling, Machine Learning, Python Programming, Statistical Methods

    4.4
    Rating, 4.4 out of 5 stars
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    37 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    A

    Arm

    Introduction to AI

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Computer Science, Deep Learning, Supervised Learning, Applied Machine Learning, Data Ethics, Recurrent Neural Networks (RNNs), Responsible AI, Convolutional Neural Networks, Data Science, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Calculus through Data & Modeling: Limits & Derivatives

    Skills you'll gain: Calculus, Mathematical Software, Data Analysis, Mathematical Theory & Analysis, Derivatives, Graphing, Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    209 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
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    C

    Coursera

    Adobe Illustrator for Beginners: Creative Brand System

    Skills you'll gain: Adobe Illustrator, Logo Design, Creative Design, Graphic and Visual Design, Style Guides, Project Design, Digital Design, Typography, Layout Design, File Management, Design Elements And Principles, Design Specifications, Color Theory

    3.9
    Rating, 3.9 out of 5 stars
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    14 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Data Science, Probability & Statistics, Dimensionality Reduction, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    A

    Amazon Web Services

    AWS Artificial Intelligence Practitioner

    Skills you'll gain: Responsible AI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Amazon Web Services, AI Enablement, AI Security, Applied Machine Learning, Prompt Engineering, Large Language Modeling, Model Deployment, Machine Learning, Data Governance

    4.5
    Rating, 4.5 out of 5 stars
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    19 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    A

    Amazon

    Application Development

    Skills you'll gain: Git (Version Control System), Software Development Methodologies, Requirements Analysis, Version Control, Application Development, Software Development Life Cycle, Systems Development, Functional Requirement, Software Engineering, User Requirements Documents, Agile Software Development, Application Design, Unified Modeling Language, Software Testing, JUnit, Agile Methodology, Spring Framework, Debugging, Java, Technical Design

    4.8
    Rating, 4.8 out of 5 stars
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    37 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Advanced Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Applied Machine Learning, Generative Adversarial Networks (GANs), Healthcare Project Management, Machine Learning Methods, Image Analysis, Graph Theory, Artificial Neural Networks, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Predictive Modeling, Unsupervised Learning, Python Programming

    3.6
    Rating, 3.6 out of 5 stars
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    15 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • Honors Algebra 2: Series, Trigonometry, and Probability: Johns Hopkins University
  • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
  • Big Data Science with the BD2K-LINCS Data Coordination and Integration Center: Icahn School of Medicine at Mount Sinai
  • Alteryx for Beginners: Packt
  • Feature Engineering en Español: Google Cloud
  • Introduction to AI: Arm
  • Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
  • Adobe Illustrator for Beginners: Creative Brand System: Coursera
  • Machine Learning Essentials: University of Pennsylvania
  • AWS Artificial Intelligence Practitioner: Amazon Web Services

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