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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 Alberta

    Software Product Management

    Skills you'll gain: Agile Software Development, Project Risk Management, Requirements Analysis, Agile Methodology, Kanban Principles, Risk Management, Project Planning, Requirements Elicitation, Sprint Retrospectives, Requirements Management, Functional Requirement, Business Requirements, Sprint Planning, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Technical Review, Risk Management Framework, Product Management, Project Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of London

    Geometry and Calculus for Computing

    Skills you'll gain: Applied Mathematics, Trigonometry, Mathematics and Mathematical Modeling, Graphing, Calculus, Computer Science, Mathematical Theory & Analysis, Geometry, Mechanics, Computer Graphics, Graph Theory, Mathematical Modeling, Functional Requirement, Physics, Graphic Design, Derivatives

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Analysis and Interpretation

    Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Presentation, Data Management, Data Analysis, Data Visualization, Model Evaluation, Statistical Methods, Machine Learning, Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
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    3.4K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Software Development Lifecycle

    Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Software Design, Agile Methodology, Agile Project Management, Process Mapping, Software Engineering, Kanban Principles, Software Development Life Cycle, Software Quality Assurance, Program Development, Application Security, Scrum (Software Development), Object Oriented Design, Software Architecture, User Experience Design, Software Quality (SQA/SQC)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize AI Prompts for Cost and Quality

    Skills you'll gain: Prompt Engineering, Responsible AI, Data Ethics, Applied Machine Learning, Project Design, AI Enablement, Operational Efficiency, Cost Management, Mitigation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Geographic Information Systems (GIS)

    Skills you'll gain: ArcGIS, GIS Software, Spatial Analysis, Data Storytelling, Spatial Data Analysis, Geographic Information Systems, Data Presentation, Geospatial Information and Technology, Geospatial Mapping, Public Health and Disease Prevention, Data Sharing, Public Health, Land Management, Heat Maps, Epidemiology, Community Health, Image Analysis, Project Management, Data Visualization Software, Data Quality

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Finance and Data Analysis Fundamentals

    Skills you'll gain: Capital Budgeting, Cash Flows, Probability & Statistics, Finance, Financial Statements, Microsoft Excel, Descriptive Statistics, Financial Accounting, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Ledgers (Accounting), Financial Analysis, Business Valuation, Business Mathematics, Financial Management, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Human Resource Management: HR for People Managers

    Skills you'll gain: Performance Management, Performance Appraisal, Performance Review, Compensation Management, Compensation Strategy, Compensation and Benefits, Constructive Feedback, Workforce Planning, Human Resource Strategy, Human Resources, Employee Onboarding, Recruitment, Employee Performance Management, Recruitment Strategies, Human Capital, Full Cycle Recruitment, Talent Acquisition, Human Resources Management and Planning, Compensation Analysis, People Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Analyze Investor Behavior with Behavioral Finance

    Skills you'll gain: Behavioral Economics, Investments, Financial Analysis, Investment Management, Financial Market, Finance, Portfolio Management, Decision Making, Portfolio Risk, Market Dynamics, Asset Management, Economics, Risk Analysis, Probability & Statistics

    Beginner · Course · 1 - 3 Months

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

  • Software Product Management: University of Alberta
  • Geometry and Calculus for Computing: University of London
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Data Analysis and Interpretation: Wesleyan University
  • IBM Introduction to Machine Learning: IBM
  • Machine Learning in Production: DeepLearning.AI
  • Software Development Lifecycle: University of Minnesota
  • Optimize AI Prompts for Cost and Quality: Coursera
  • Geographic Information Systems (GIS): University of California, Davis
  • Business Finance and Data Analysis Fundamentals: Rice University

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