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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


  • S

    SAS

    SAS Statistical Business Analyst

    Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    228 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • S

    SAS

    Doing More with SAS Programming

    Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Data Cleansing, Statistical Programming, Data Analysis, Data Presentation, Descriptive Statistics, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    944 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Minnesota

    Resilience in Children Exposed to Trauma, Disaster and War: Global Perspectives

    Skills you'll gain: Child Welfare, Research, Research Methodologies, Family Support, Working With Children, Trauma Care, Child Development, Social Sciences, Human Development, Cultural Diversity, Culture, Case Studies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    742 reviews

    Mixed · Course · 1 - 3 Months

  • D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    355 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Alberta

    Client Needs and Software Requirements

    Skills you'll gain: Requirements Analysis, Requirements Elicitation, Requirements Management, Functional Requirement, Business Requirements, Product Requirements, Backlogs, User Requirements Documents, Scope Management, Change Control, User Story, System Requirements, Client Services, Acceptance Testing, Agile Software Development, Prioritization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    457 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    Universidad Austral

    Pilares de Marketing Digital

    Skills you'll gain: Digital Marketing, Customer Relationship Management, Social Media Marketing, Digital Media Strategy, Social Media Strategy, Marketing Analytics, Marketing Strategies, Web Analytics, Marketing, Sales Process, Business Analytics, Customer Retention, Search Engine Marketing, Customer Engagement, Email Marketing, Search Engine Optimization, Content Performance Analysis, Analytics, Lead Generation, Target Audience

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2K reviews

    Beginner · Course · 1 - 4 Weeks

  • T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    426 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    Single Variable Calculus

    Skills you'll gain: Calculus, Numerical Analysis, Applied Mathematics, Engineering Calculations, Integral Calculus, Engineering Analysis, Differential Equations, Mathematical Theory & Analysis, Advanced Mathematics, Estimation, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    463 reviews

    Mixed · Course · 1 - 3 Months

  • U

    Università di Napoli Federico II

    English Upper Intermediate B2.1

    Skills you'll gain: English Language, Storytelling, Language Learning, Oral Expression, Writing, Intercultural Competence, Interpersonal Communications, Vocabulary, Culture, Trend Analysis, Grammar, Oral Comprehension, Descriptive Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    81 reviews

    Intermediate · Course · 1 - 3 Months

  • É

    École Polytechnique

    Density Functional Theory

    Skills you'll gain: Semiconductors, Materials science, Differential Equations, Numerical Analysis, Linear Algebra, Applied Mathematics, Chemistry, Physics, Calculus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    252 reviews

    Advanced · Course · 1 - 4 Weeks

  • U

    University of Geneva

    Ecosystem Services: a Method for Sustainable Development

    Skills you'll gain: Sustainable Development, Geographic Information Systems, Environment, Environmental Resource Management, Natural Resource Management, Spatial Analysis, Sustainability Standards, Environmental Science, Environmental Policy, Hydrology, Economics, Governance, Stakeholder Engagement, Case Studies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    742 reviews

    Intermediate · Course · 1 - 3 Months

1…777879…279

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

  • SAS Statistical Business Analyst: SAS
  • Doing More with SAS Programming: SAS
  • Resilience in Children Exposed to Trauma, Disaster and War: Global Perspectives: University of Minnesota
  • Managing Machine Learning Projects: Duke University
  • Client Needs and Software Requirements : University of Alberta
  • Supervised Machine Learning: Classification: IBM
  • Pilares de Marketing Digital: Universidad Austral
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Single Variable Calculus: University of Pennsylvania
  • English Upper Intermediate B2.1: Università di Napoli Federico II

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