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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


  • A

    Amazon Web Services

    DevOps on AWS and Project Management

    Skills you'll gain: Software Development Life Cycle, CI/CD, DevOps, Continuous Integration, Agile Software Development, Project Management, Software Development, Continuous Deployment, Application Deployment, Software Testing, Waterfall Methodology, Agile Methodology, Kanban Principles, Scrum (Software Development), Git (Version Control System), Automation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    121 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    83 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • E

    Emory University

    Introduction to Social Media Analytics

    Skills you'll gain: Social Media Marketing, Social Media, Marketing Analytics, Text Mining, Consumer Behaviour, Data Mining, Social Network Analysis, Customer Insights, Market Analysis, Unstructured Data, Trend Analysis, Research

    4.3
    Rating, 4.3 out of 5 stars
    ·
    111 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of New Mexico

    Desarrollo de Aplicaciones Web: Conceptos Básicos

    Skills you'll gain: Middleware, Web Applications, Agile Software Development, Application Frameworks, Ruby on Rails, User Interface (UI), Software Development, Web Design, Data Modeling, Ajax, Software Architecture, Full-Stack Web Development, Model View Controller, Git (Version Control System), Software Development Tools, Relational Databases, Software Design Patterns, Javascript, Network Protocols

    4.3
    Rating, 4.3 out of 5 stars
    ·
    143 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Codio

    Data Analysis in R with RStudio & Tidyverse

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 3 Months

  • T

    Tecnológico de Monterrey

    Tecnologías para la Innovación Educativa

    Skills you'll gain: Education Software and Technology, Digital pedagogy, Technology Solutions, Emerging Technologies, Innovation, Technology Strategies, Solution Design, Trend Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    277 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Financial Analysis: Portfolios, Risks, Strategic Decisions

    Skills you'll gain: Portfolio Management, Investment Management, Risk Management, Financial Management, Wealth Management, Finance, Financial Market, Investments, Financial Planning, Financial Analysis, Asset Management, Business Valuation, Market Dynamics, Quantitative Research

    4.4
    Rating, 4.4 out of 5 stars
    ·
    150 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Strategic HRM: Talent, Performance, Compensation Design

    Skills you'll gain: Performance Appraisal, Human Resource Strategy, Human Resources, Compensation Strategy, Talent Management, Performance Management, Organizational Development, Employee Engagement, Workforce Development, Talent Acquisition, Employee Retention, Case Studies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    172 reviews

    Beginner · Course · 1 - 4 Weeks

  • F

    Fred Hutchinson Cancer Center

    Write Smarter with Overleaf and LaTeX

    Skills you'll gain: Collaborative Software, GitHub, Laboratory Reports, Technical Writing, Version Control, Document Management, Technical Documentation, Typography

    4.3
    Rating, 4.3 out of 5 stars
    ·
    143 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Evaluation of Digital Health Interventions

    Skills you'll gain: Data Visualization Software, Health Informatics, Clinical Data Management, Tableau Software, Model Evaluation, Analytics, Health Technology, Data Management, Clinical Research, Telehealth, Statistical Analysis, Data Collection, Big Data

    4.8
    Rating, 4.8 out of 5 stars
    ·
    59 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • DevOps on AWS and Project Management: Amazon Web Services
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Introduction to Social Media Analytics: Emory University
  • Desarrollo de Aplicaciones Web: Conceptos Básicos: University of New Mexico
  • Data Analysis in R with RStudio & Tidyverse: Codio
  • Tecnologías para la Innovación Educativa: Tecnológico de Monterrey
  • Financial Analysis: Portfolios, Risks, Strategic Decisions: Coursera
  • Strategic HRM: Talent, Performance, Compensation Design: Coursera
  • Write Smarter with Overleaf and LaTeX: Fred Hutchinson Cancer Center

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