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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


  • 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
    ·
    446 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    680 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    User Experience Research and Design

    Skills you'll gain: UI/UX Research, Surveys, Qualitative Research, Usability Testing, User Experience Design, User Research, User Experience, User Story, Prototyping, Wireframing, User Centered Design, Survey Creation, Sampling (Statistics), Design Research, Interaction Design, Ideation, A/B Testing, Conceptual Design, Web Analytics, Usability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    R

    Red Hat

    Introduction to Red Hat OpenShift AI

    Skills you'll gain: OpenShift, Jupyter, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Deployment, Data Storage

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Capstone: Retrieving, Processing, and Visualizing Data with Python

    Skills you'll gain: Data Processing, Data Visualization, Interactive Data Visualization, Data Cleansing, Data Collection, Data Visualization Software, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Email Automation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Y

    Yonsei University

    Emerging Technologies: From Smartphones to IoT to Big Data

    Skills you'll gain: Apache Spark, Augmented Reality, Cloud Computing Architecture, Big Data, Wireless Networks, SPSS, Augmented and Virtual Reality (AR/VR), Cloud Computing, Internet Of Things, Analytics, Real Time Data, Apache Hadoop, Telecommunications, Local Area Networks, Multimedia, Emerging Technologies, Apple iOS, Market Analysis, Display Devices, Product Planning

    4.7
    Rating, 4.7 out of 5 stars
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    2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Differential Equations Part I Basic Theory

    Skills you'll gain: Differential Equations, Applied Mathematics, Mathematical Modeling, Calculus, Vibrations, Mechanics

    4.7
    Rating, 4.7 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    389 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Outbreaks and Epidemics

    Skills you'll gain: Epidemiology, Infectious Diseases, Risk Analysis, Public Health, Investigation, Case Studies, Laboratory Testing, Statistical Analysis, Research Methodologies, Statistics, Report Writing

    4.8
    Rating, 4.8 out of 5 stars
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    771 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Single Variable Calculus

    Skills you'll gain: Calculus, Numerical Analysis, Applied Mathematics, Engineering Calculations, Integral Calculus, Engineering Analysis, Differential Equations, Mathematical Theory & Analysis, Advanced Mathematics, Estimation, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    450 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Programmer

    Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Requirements Analysis, Statistical Programming, Exploratory Data Analysis, Data Cleansing, Statistical Analysis, Data Processing, Data Preprocessing, Data Integration, SQL, Descriptive Statistics, Computer Programming, Data Presentation, Debugging

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    3.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Foundations of Public Health Practice

    Skills you'll gain: Public Health, Public Health and Disease Prevention, Health Equity, Health Disparities, Health Promotion, Microbiology, Health Assessment, Sanitation, Program Evaluation, Healthcare Ethics, Epidemiology, Infectious Diseases, Health Policy, Preventative Care, Environment Health And Safety, Behavioral Economics, Health Education, Intelligence Collection and Analysis, Applied Behavior Analysis, Social Determinants Of Health

    4.7
    Rating, 4.7 out of 5 stars
    ·
    682 reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to applied statistics

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

  • Supervised Machine Learning: Classification: IBM
  • Guided Tour of Machine Learning in Finance: New York University
  • User Experience Research and Design: University of Michigan
  • Introduction to Red Hat OpenShift AI: Red Hat
  • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
  • Emerging Technologies: From Smartphones to IoT to Big Data: Yonsei University
  • Differential Equations Part I Basic Theory: Korea Advanced Institute of Science and Technology(KAIST)
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • Outbreaks and Epidemics: Johns Hopkins University
  • Single Variable Calculus: University of Pennsylvania

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