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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


  • Status: Preview
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    U

    University of Pennsylvania

    A Crash Course in Causality: Inferring Causal Effects from Observational Data

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Data Analysis, Quantitative Research, Regression Analysis, Research Design, Graph Theory

    4.7
    Rating, 4.7 out of 5 stars
    ·
    570 reviews

    Intermediate · Course · 1 - 3 Months

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    É

    École Polytechnique

    Quantum Optics 1 : Single Photons

    Skills you'll gain: Physics, electromagnetics, Experimentation, Cryptography, Laboratory Research, Applied Mathematics, Engineering, Scientific, and Technical Instruments, Emerging Technologies

    4.8
    Rating, 4.8 out of 5 stars
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    338 reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
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    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    346 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Data Presentation, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Data Validation, Exploratory Data Analysis, Data Quality, Business Analysis, Data Manipulation, Generative AI, Data Collection, Data Management, Marketing

    4.8
    Rating, 4.8 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Visualization, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    204 reviews

    Intermediate · Course · 1 - 3 Months

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    E

    Eindhoven University of Technology

    Process Mining: Data science in Action

    Skills you'll gain: Business Process, Process Analysis, Process Improvement, Business Process Management, Data Mining, Business Process Modeling, Process Optimization, Data Processing, Operational Analysis, Performance Analysis, Real Time Data, Data-Driven Decision-Making, Data Science, Verification And Validation, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Accounting Data Analytics

    Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Data Visualization, Scikit Learn (Machine Learning Library), Matplotlib, Data Literacy, Tableau Software, Data Presentation, Data Visualization Software, Unsupervised Learning, Exploratory Data Analysis, Pandas (Python Package), Seaborn, Text Mining, Time Series Analysis and Forecasting, Data Preprocessing, SQL, Predictive Modeling, Machine Learning, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    583 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Maryland, College Park

    Framework for Data Collection and Analysis

    Skills you'll gain: Data Collection, Survey Creation, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Data Management, Big Data, Statistical Methods

    4.2
    Rating, 4.2 out of 5 stars
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    773 reviews

    Intermediate · Course · 1 - 4 Weeks

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    N

    Nanjing University

    Data Processing Using Python

    Skills you'll gain: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Capture, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Manipulation, Matplotlib, User Interface (UI) Design

    4.1
    Rating, 4.1 out of 5 stars
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    378 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Clinical Data Science

    Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Clinical Research, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Medical Privacy, Data Manipulation, Predictive Modeling, Database Design, Google Cloud Platform, Intensive Care Unit, Data Ethics, Data Quality, Natural Language Processing, Bioinformatics, Informatics, Text Mining, Clinical Informatics, R Programming

    4.5
    Rating, 4.5 out of 5 stars
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    489 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
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    455 reviews

    Intermediate · Course · 1 - 3 Months

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

  • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
  • Quantum Optics 1 : Single Photons: École Polytechnique
  • Introduction to Computer Vision and Image Processing: IBM
  • Managing Machine Learning Projects: Duke University
  • Introduction to Data Analytics: Meta
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
  • Process Mining: Data science in Action: Eindhoven University of Technology
  • Accounting Data Analytics: University of Illinois Urbana-Champaign
  • Framework for Data Collection and Analysis: University of Maryland, College Park
  • Data Processing Using Python: Nanjing University

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