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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


  • 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

  • Y

    Yale University

    Everyday Parenting: The ABCs of Child Rearing

    Skills you'll gain: Applied Behavior Analysis, Behavior Management, Positive Behavior Support, Parent Communication, Mental Health Diseases and Disorders, Working With Children, Child Development, Adaptability, Problem Solving

    4.9
    Rating, 4.9 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • C

    Coursera

    STAR-CCM+: Fluid Flow & Thermal Simulation

    Skills you'll gain: Engineering Calculations, Applied Mathematics, Simulation and Simulation Software, Engineering, 3D Modeling, Thermal Management, Process Analysis, Scientific Visualization, Geometry, Star Schema, Environment

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Python Programming and Data Science Foundations for AI

    Skills you'll gain: Object Oriented Programming (OOP), Data Visualization, Seaborn, Flask (Web Framework), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Pandas (Python Package), Probability & Statistics, Data Manipulation, Data Structures, UI Components

    Intermediate · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Model Deployment, Predictive Modeling, Financial Forecasting, Finance

    4
    Rating, 4 out of 5 stars
    ·
    897 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply R Techniques for Telecom Customer Churn Prediction

    Skills you'll gain: Feature Engineering, Data Preprocessing, Applied Machine Learning, Model Evaluation, R Programming, Data Transformation, Data Manipulation, Data Cleansing, Predictive Modeling, Predictive Analytics, Supervised Learning, Classification Algorithms, Machine Learning Algorithms

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze Advanced Data Projects Using SPSS

    Skills you'll gain: SPSS (Software), Correlation Analysis, Data Visualization, Descriptive Statistics, Advanced Analytics, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Reporting, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Methods, Statistical Inference

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Statistics, Statistical Methods, Data Analysis, Statistical Analysis

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    284 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Analyze & Build a Churn Prediction Model in R

    Skills you'll gain: Model Evaluation, Data Preprocessing, Predictive Modeling, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Data Analysis, Data-Driven Decision-Making, Statistical Modeling, R (Software), Feature Engineering, Applied Machine Learning, Logistic Regression, Data Transformation, Business Analytics, Decision Tree Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Calibrate and Serve Confident AI Predictions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Applied Machine Learning, Data Pipelines, Responsible AI, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

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

  • Algebra: Elementary to Advanced: Johns Hopkins University
  • Everyday Parenting: The ABCs of Child Rearing: Yale University
  • Excel Basics for Data Analysis: IBM
  • STAR-CCM+: Fluid Flow & Thermal Simulation: Coursera
  • Python Programming and Data Science Foundations for AI: Packt
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Apply R Techniques for Telecom Customer Churn Prediction: EDUCBA
  • Analyze Advanced Data Projects Using SPSS: EDUCBA
  • Probability Foundations for Data Science and AI: University of Colorado Boulder

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