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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


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    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Design and Implement SQL Server Tracking Systems

    Skills you'll gain: Database Design, Stored Procedure, Microsoft SQL Servers, Database Management, Database Development, Relational Databases, Database Architecture and Administration, SQL, Databases, Database Management Systems, Transaction Processing, Visual Basic (Programming Language), Data Management, Verification And Validation, Debugging, User Interface (UI)

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
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    Tecnológico de Monterrey

    Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo

    Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Graphing, Numerical Analysis, Trigonometry, Mathematical Modeling, Mathematical Theory & Analysis, Algebra, Applied Mathematics, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    723 reviews

    Mixed · Course · 3 - 6 Months

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    EDUCBA

    Build and Execute Automation Tests with Tosca

    Skills you'll gain: Test Automation, Test Case, Software Testing, Automation, Continuous Integration, Acceptance Testing, Test Execution Engine, Integration Testing, Test Planning, Mobile Development

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Master Advanced Google Ads Optimization Strategies

    Skills you'll gain: Google Ads, Pay Per Click Advertising, Keyword Research, Marketing Budgets, Online Advertising, Target Audience, Digital Advertising, Paid media, Performance marketing, Campaign Management, Advertising Campaigns, Web Analytics, Budget Management, Forecasting, Performance Analysis, Bidding, Automation

    Beginner · Course · 1 - 4 Weeks

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    Alex Genadinik

    Logic In Philosophy: Logical Fallacies And Common Mistakes

    Skills you'll gain: Deductive Reasoning, Logical Reasoning, Case Studies, Ethical Standards And Conduct, Psychology

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Advanced SAS Programming, Macros & Reporting

    Skills you'll gain: Sampling (Statistics), Logistic Regression, SAS (Software), Predictive Analytics, Automation, Data Integration, Advanced Analytics, Debugging, Statistical Programming, SQL, Statistical Methods, Report Writing, Data Manipulation, Model Evaluation, Data Analysis, Statistical Reporting, Data Access, Microsoft Excel, Analysis, Finance

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Logical Operations

    R Programming for Data Science

    Skills you'll gain: R Programming, R (Software), Data Science, Data Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Statistical Visualization, Regression Analysis, Statistical Machine Learning, Plot (Graphics), Data Structures, Computer Programming, Decision Tree Learning, Machine Learning Methods, Machine Learning, Software Development, Computer Programming Tools, Data Import/Export, Machine Learning Algorithms

    Intermediate · Specialization · 1 - 3 Months

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    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Data Collection, Statistics, Algorithms, Computer Programming, Java

    4.4
    Rating, 4.4 out of 5 stars
    ·
    659 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Master of Science in Data Science

    Skills you'll gain: Prompt Engineering, User Story, New Product Development, Model Based Systems Engineering, Model Evaluation, Failure Analysis, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Real-Time Operating Systems, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Sustainability Reporting, Database Design, Sustainable Design

    Earn a degree

    Degree · 1 - 4 Years

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    Logical Operations

    Introduction to Agile and Scrum Methodologies

    Skills you'll gain: Agile Methodology, Scrum (Software Development), Agile Project Management, Sprint Retrospectives, Agile Software Development, Sprint Planning, User Story, Backlogs, Agile Product Development, Project Estimation, Project Management, Estimation, Project Planning

    Mixed · Course · 1 - 3 Months

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    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

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

  • Automate, Optimize, and Monitor ML Models: Coursera
  • Design and Implement SQL Server Tracking Systems: EDUCBA
  • Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo: Tecnológico de Monterrey
  • Build and Execute Automation Tests with Tosca: EDUCBA
  • Master Advanced Google Ads Optimization Strategies: EDUCBA
  • Logic In Philosophy: Logical Fallacies And Common Mistakes: Alex Genadinik
  • Advanced SAS Programming, Macros & Reporting: EDUCBA
  • R Programming for Data Science: Logical Operations
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • Master of Science in Data Science: University of Colorado Boulder

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