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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


  • C

    Coursera

    Analyze Healthcare Data for Patient Outcomes

    Skills you'll gain: Time Series Analysis and Forecasting, Anomaly Detection, Exploratory Data Analysis, Descriptive Analytics

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidad Nacional Autónoma de México

    Álgebra básica

    Skills you'll gain: Algebra, General Mathematics, Arithmetic, Applied Mathematics, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • D

    Duke University

    Behavioral Finance

    Skills you'll gain: Behavioral Economics, Decision Making, Financial Planning, Finance, Consumer Behaviour, Financial Analysis, Economics, Psychology, Probability & Statistics, Risk Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • T

    The State University of New York

    Practical Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Correlation Analysis, Probability & Statistics, Descriptive Statistics, Statistical Inference, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, CI/CD, Model Evaluation, Applied Machine Learning, Apache Airflow, Data Migration, Data Cleansing, Data Quality, Data Lakes, AI Enablement, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • 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

  • C

    Coursera

    Investment Risk Management

    Skills you'll gain: Portfolio Risk, Investment Management, Risk Management, Financial Analysis, Risk Analysis, Portfolio Management, Financial Market, Investments, Return On Investment, Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.2K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • I

    IBM

    Introduction to Software Engineering

    Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Python Programming, Software Versioning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.6K reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Introduction to Logic and Critical Thinking

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Analysis, Diagram Design, Probability, Sampling (Statistics), Persuasive Communication, Research, Sample Size Determination, Writing, Case Studies, Oral Expression, Correlation Analysis, Communication, Scientific Methods, Information Architecture, Business Communication, Interactive Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    Duke University

    Data Science Math Skills

    Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Algebra: Elementary to Advanced

    Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Analytical Skills, Probability & Statistics, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    807 reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Pivot Tables And Charts, Data Cleansing, Microsoft Excel, Spreadsheet Software, Google Sheets, Data Wrangling, Data Analysis, Data Quality, Data Manipulation, Data Integrity, Data Presentation, Data Preprocessing, Data Import/Export, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 3 Months

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

  • Analyze Healthcare Data for Patient Outcomes: Coursera
  • Álgebra básica: Universidad Nacional Autónoma de México
  • Behavioral Finance: Duke University
  • Practical Time Series Analysis: The State University of New York
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Software Product Management: University of Alberta
  • Investment Risk Management: Coursera
  • Introduction to Software Engineering: IBM
  • Introduction to Logic and Critical Thinking: Duke University
  • Data Science Math Skills: Duke University

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