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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


  • U

    University of Colorado Boulder

    Predictive Modeling and Analytics

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Model Evaluation, Exploratory Data Analysis, Logistic Regression, Data Presentation, Business Analytics, Analytics, Statistical Visualization, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Classification And Regression Tree (CART), Data Analysis, Applied Machine Learning, Classification Algorithms, Data Analysis Software, Microsoft Excel, Data Preprocessing, Data Cleansing

    3.6
    Rating, 3.6 out of 5 stars
    ·
    605 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    Meta

    Data Analysis with Spreadsheets and SQL

    Skills you'll gain: Data Visualization, Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Dashboard, Dashboard Creation, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Marketing Analytics, Data Wrangling, Exploratory Data Analysis, Data Manipulation, Statistical Analysis, Analysis, SQL, Query Languages

    4.6
    Rating, 4.6 out of 5 stars
    ·
    291 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Alberta

    Introduction to Software Product Management

    Skills you'll gain: Agile Software Development, Agile Methodology, Requirements Analysis, Scrum (Software Development), Software Development, Product Requirements, Requirements Management, Product Management, Agile Project Management, Software Development Methodologies, Software Engineering, Functional Requirement, Systems Development Life Cycle, Project Planning, Process Development, Project Management

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

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to DevOps

    Skills you'll gain: DevOps, Agile Methodology, Cloud-Native Computing, Devops Tools, Continuous Integration, CI/CD, Test Driven Development (TDD), Agile Software Development, Scrum (Software Development), Continuous Deployment, Software Development Methodologies, Behavior-Driven Development, Cloud Computing Architecture, Continuous Delivery, Performance Metric, Team Performance Management, Accountability, Culture Transformation, Microservices, Organizational Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.2K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Machine Learning Methods, Network Model, Electrophysiology, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Sensory Systems Analysis, Matlab, Mathematical Modeling, Computer Vision, Neurology, Mathematical Software, Recurrent Neural Networks (RNNs), Physiology, Biology, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • E

    Emory University

    Math for MBA and GMAT Prep

    Skills you'll gain: Regression Analysis, Data Visualization, Data Storytelling, Statistical Visualization, Business Mathematics, Descriptive Statistics, General Mathematics, Microsoft Excel, Statistics, Excel Formulas, Statistical Analysis, Statistical Methods, Algebra, Probability & Statistics, Calculus, Applied Mathematics, Business

    4.2
    Rating, 4.2 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 3 Months

  • A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Top AI Program
    Top AI Program
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • G

    Georgia Institute of Technology

    Materials Data Sciences and Informatics

    Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data Infrastructure, Data Sharing, Manufacturing Processes, Process Engineering, Structural Analysis, Collaborative Software, Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    351 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    AI for Medical Diagnosis

    Skills you'll gain: Model Evaluation, Patient Evaluation, Data Preprocessing, Diagnostic Tests, Convolutional Neural Networks, Image Analysis, Diagnostic Radiology, Predictive Modeling, Risk Modeling, Statistical Machine Learning, Artificial Intelligence, Predictive Analytics, Applied Machine Learning, Medical Imaging, Machine Learning Methods, Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Radiology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Career Development for Multimodal Intelligence

    Skills you'll gain: Vision Transformer (ViT), Generative Model Architectures, Model Optimization, MLOps (Machine Learning Operations), Generative AI, AI Integrations, Large Language Modeling, Model Deployment, Model Training, Tensorflow, PyTorch (Machine Learning Library), Embeddings, Retrieval-Augmented Generation, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of California, Santa Barbara

    Legal Aspects of Employment Practice

    Skills you'll gain: Employee Retirement Income Security Act, Family and Medical Leave Act of 1993, Compensation Analysis, Benefits Administration, Workers Compensation, Human Resources, Human Resource Policies, Benefits Enrollment Processes, Labor Compliance, Compensation and Benefits, Compensation Management, Human Resource Management, Legal Risk, Labor Law, Civil Law, Law, Regulation, and Compliance, Human Resources Management and Planning, Compliance Management, Disabilities, HR Tech

    Beginner · Specialization · 1 - 3 Months

1…363738…308

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

  • Predictive Modeling and Analytics : University of Colorado Boulder
  • Data Analysis with Spreadsheets and SQL: Meta
  • Introduction to Software Product Management: University of Alberta
  • Introduction to DevOps: IBM
  • Computational Neuroscience: University of Washington
  • Math for MBA and GMAT Prep: Emory University
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • IBM Machine Learning: IBM
  • Materials Data Sciences and Informatics: Georgia Institute of Technology
  • AI for Medical Diagnosis: DeepLearning.AI

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