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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


  • U

    University of Colorado Boulder

    Foundations of Autonomous Systems

    Skills you'll gain: Computational Logic, Mathematical Modeling, System Requirements, Functional Requirement, Theoretical Computer Science, Verification And Validation, Control Systems, Network Model, Systems Analysis, Automation, Mechanical Engineering, Real-Time Operating Systems, Agentic systems, Differential Equations, Safety Assurance, Robotics, Artificial Intelligence, Linear Algebra, Algorithms, Applied Mathematics

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    35 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Introduction to Generative AI in Legal

    Skills you'll gain: Legal Technology, Data Ethics, Responsible AI, Legal Strategy, Legal Research, Generative AI, Legal Risk, Case Law, Law, Regulation, and Compliance, Artificial Intelligence, Legal Writing, Data-Driven Decision-Making, Forecasting, Automation, Client Services

    4.6
    Rating, 4.6 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 3 Months

  • R

    Real Madrid Graduate School Universidad Europea

    Maximum Performance and Technology in Sports

    Skills you'll gain: Data Presentation, Matplotlib, Data Synthesis, Probability Distribution, Data Processing, Data Integration, Data Literacy, Performance Analysis, Exploratory Data Analysis, Statistical Analysis, Probability, Applied Machine Learning, Analysis, Image Analysis, Descriptive Analytics, AI Enablement, Business Analytics, Statistical Methods, Data Collection, Machine Learning

    Beginner · Specialization · 3 - 6 Months

  • I

    Icahn School of Medicine at Mount Sinai

    Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

    Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Integration, Unsupervised Learning, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API

    4.8
    Rating, 4.8 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 3 - 6 Months

  • U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Scikit Learn (Machine Learning Library), Data Preprocessing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Style Tables with CSS

    Skills you'll gain: Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), Responsive Web Design, Browser Compatibility, Web Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    42 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Build a Budget and Analyze Variance using Google Sheets

    Skills you'll gain: Google Sheets, Proposal Development, Variance Analysis, Trend Analysis, Budget Management, Budgeting, Spreadsheet Software, Management Reporting, Presentations, Financial Acumen, Finance

    4.6
    Rating, 4.6 out of 5 stars
    ·
    81 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Quantitative Finance & Risk Modeling

    Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Reconciliation, Financial Analysis, A/B Testing, Portfolio Risk, Model Evaluation, Data Cleansing, Decision Tree Learning, Regression Analysis, Exploratory Data Analysis, Predictive Modeling, Data Analysis, Risk Analysis, Risk Management, R Programming, Statistical Analysis, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Aggregate Data in SQL using MySQL Workbench

    Skills you'll gain: MySQL, SQL, MySQL Workbench, Query Languages, Descriptive Statistics, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    CertNexus

    CertNexus Certified Data Science Practitioner

    Skills you'll gain: Extract, Transform, Load, Data Analysis, Data Preprocessing, Jupyter, Data Visualization, Unsupervised Learning, Statistical Analysis, Model Evaluation, Exploratory Data Analysis, Data Migration, Machine Learning, Business Analytics, Classification Algorithms, Analytical Skills, Data Manipulation, Data Storytelling, Stakeholder Engagement, Project Scoping, Business Priorities, Business Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    81 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • T

    The Chinese University of Hong Kong

    离散优化建模基础篇 Basic Modeling for Discrete Optimization

    Skills you'll gain: Applied Mathematics, Operations Research, Mathematical Modeling, Enterprise Modeling, Network Model, Statistical Modeling, Combinatorics, Functional Design, Mathematical Software, Computational Thinking, Graph Theory, Algorithms, Data Structures, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Foundations of Autonomous Systems: University of Colorado Boulder
  • Introduction to Generative AI in Legal: Coursera
  • Maximum Performance and Technology in Sports: Real Madrid Graduate School Universidad Europea
  • Big Data Science with the BD2K-LINCS Data Coordination and Integration Center: Icahn School of Medicine at Mount Sinai
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Style Tables with CSS: Coursera
  • Build a Budget and Analyze Variance using Google Sheets: Coursera
  • Quantitative Finance & Risk Modeling: Coursera
  • Aggregate Data in SQL using MySQL Workbench: Coursera
  • CertNexus Certified Data Science Practitioner: CertNexus

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