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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: Free Trial
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    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
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    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    IBM Product Owner

    Skills you'll gain: AI Product Strategy, Sprint Retrospectives, Backlogs, Agile Product Development, Agile Software Development, Stakeholder Communications, Agile Methodology, Responsible AI, Generative AI, Kanban Principles, Product Roadmaps, Virtual Teams, Information Technology, Agile Project Management, Computer Hardware, Product Strategy, Product Management, ChatGPT, Stakeholder Management, Sprint Planning

    4.7
    Rating, 4.7 out of 5 stars
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    7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    C

    Coursera

    Detect AI Anomalies: Real-Time Outliers

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

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    U

    Universitat Politècnica de València

    Basic Math: Numbers and Terminology

    Skills you'll gain: Taxonomy, Deductive Reasoning, Applied Mathematics

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    U

    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

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    C

    Coursera

    Behavioural Base Safety

    Skills you'll gain: Safety Culture, Behavior Management, Accident Prevention, Occupational Safety and Health Administration (OSHA), Safety Training, Safety Assurance, Applied Behavior Analysis, Proactivity, Coaching, Constructive Feedback, Recognizing Others, Initiative and Leadership, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    R

    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis

    Beginner · Course · 1 - 4 Weeks

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    C

    California Institute of the Arts

    Fundamentals of Graphic Design

    Skills you'll gain: Typography, Design Elements And Principles, Graphic Design, Graphic and Visual Design Software, Design, Logo Design, Digital Design, Layout Design, Color Theory, Image Quality, Photo Editing, Creativity

    4.8
    Rating, 4.8 out of 5 stars
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    18K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    2.4K reviews

    Mixed · Course · 1 - 3 Months

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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    733 reviews

    Beginner · Course · 1 - 3 Months

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    G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Responsible AI, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Data Cleansing, Prompt Engineering, Cloud Deployment, Data Strategy, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    T

    The Hong Kong University of Science and Technology

    Mathematics for Engineers

    Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking

    4.8
    Rating, 4.8 out of 5 stars
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    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Mathematics for Machine Learning: PCA: Imperial College London
  • IBM Product Owner: IBM
  • Detect AI Anomalies: Real-Time Outliers: Coursera
  • Basic Math: Numbers and Terminology: Universitat Politècnica de València
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • Behavioural Base Safety: Coursera
  • Must-Know Concepts - Basic requirements for data analysis: Real Madrid Graduate School Universidad Europea
  • Fundamentals of Graphic Design: California Institute of the Arts
  • Machine Learning: Clustering & Retrieval: University of Washington
  • Foundations of Data Science: K-Means Clustering in Python: University of London

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