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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


  • D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods, Classification Algorithms, Calculus

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Agentic Workflows, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Decision Intelligence, Markov Model, Algorithms, Programming Principles, Probability & Statistics

    ★ 5 (10) · Mixed · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Measurement Systems Analysis

    Skills you'll gain: Correlation Analysis, Statistical Visualization, Descriptive Statistics, Statistical Analysis, Statistical Software, Probability & Statistics, Data Analysis, Analysis, R (Software), Systems Of Measurement, Data Quality, R Programming, Statistical Methods, Verification And Validation, Statistical Hypothesis Testing

    ★ 4.2 (10) · Intermediate · Course · 1 - 3 Months

  • C

    Codio

    Data Science and Analysis Tools - from Jupyter to R Markdown

    Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Scientific Visualization, Jupyter, Matplotlib, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Statistical Methods, Data Analysis, R Programming, Python Programming

    ★ 3.9 (25) · Beginner · Specialization · 3 - 6 Months

  • É

    École Polytechnique Fédérale de Lausanne

    Mécanique : Solide Indéformable

    Skills you'll gain: Torque (Physics), Mechanics, Engineering Analysis, Structural Analysis, Differential Equations, Applied Mathematics, Physics, Mathematical Modeling

    ★ 4.8 (34) · Mixed · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Honors Algebra 2

    Skills you'll gain: Algebra, Graphing, Applied Mathematics, Mathematical Modeling, Trigonometry, Probability, Advanced Mathematics, Data Analysis, Probability & Statistics, Data Literacy, Statistical Analysis, Logical Reasoning, Probability Distribution, Mathematical Theory & Analysis, Descriptive Statistics, Arithmetic, Statistics, Engineering Calculations, Calculus, Analytical Skills

    ★ 4.3 (6) · Beginner · Specialization · 3 - 6 Months

  • U

    University of Colorado System

    Genetic Epidemiology Foundations

    Skills you'll gain: Epidemiology, Biostatistics, Statistical Analysis, Medical Science and Research, Data Quality, Statistical Modeling, Analysis, Probability & Statistics, Molecular Biology, Statistical Methods, Regression Analysis, Data Validation, Data Cleansing

    ★ 4.5 (51) · Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Programming, Statistical Methods, Probability & Statistics, Statistics, Data Visualization, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    ★ 4.8 (37) · Beginner · Guided Project · Less Than 2 Hours

  • L

    LearnQuest

    Fundamentals of Machine Learning for Supply Chain

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Supply Chain, Supply Chain Management, Data Transformation, Pandas (Python Package), Supply Chain Planning, Data Processing, Data Analysis, Data Cleansing, Data Science, Programming Principles, Python Programming, Pivot Tables And Charts, Applied Machine Learning, Plot (Graphics)

    ★ 3.7 (41) · Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Project Scheduling: Estimate Activity Durations

    Skills you'll gain: Project Estimation, Project Schedules, Work Breakdown Structure, Estimation, Scheduling, Project Planning, Project Management

    ★ 4.5 (200) · Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Colorado System

    Classical Cryptosystems and Core Concepts

    Skills you'll gain: Cryptography, Cybersecurity, Encryption, Public Key Cryptography Standards (PKCS), Data Integrity

    ★ 4.5 (428) · Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Calculus through Data & Modelling: Techniques of Integration

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Estimation, Probability & Statistics, Geometry, Mathematical Modeling, Graphing

    ★ 4.7 (54) · Intermediate · Course · 1 - 4 Weeks

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

  • Foundations for Machine Learning: Dartmouth College
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Measurement Systems Analysis: University of Colorado Boulder
  • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
  • Mécanique : Solide Indéformable: École Polytechnique Fédérale de Lausanne
  • Honors Algebra 2: Johns Hopkins University
  • Genetic Epidemiology Foundations: University of Colorado System
  • Using probability distributions for real world problems in R: Coursera
  • Fundamentals of Machine Learning for Supply Chain: LearnQuest
  • Project Scheduling: Estimate Activity Durations: Coursera

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