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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


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    Alberta Machine Intelligence Institute

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics

    Intermediate · Specialization · 1 - 3 Months

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    U

    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Analysis, Artificial Intelligence, Data Collection

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    281 reviews

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Applied Machine Learning, Hybrid Cloud Computing, Data Strategy, Image Analysis, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization

    4.7
    Rating, 4.7 out of 5 stars
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    7.6K reviews

    Beginner · Specialization · 1 - 3 Months

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    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    489 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    Algebra: Elementary to Advanced - Equations & Inequalities

    Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    643 reviews

    Beginner · Course · 1 - 3 Months

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    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

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    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

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    U

    Universitat Politècnica de València

    Physics Fundamentals: Mechanics

    Skills you'll gain: Mechanics, Physics, Systems Of Measurement, Torque (Physics), Differential Equations, Calculus, Engineering Calculations, Engineering Analysis, Trigonometry, Applied Mathematics, Derivatives

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    Genomic Data Science

    Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Data Structures, Data Analysis, Computer Science, Molecular Biology, R Programming, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    6.8K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Balance and Analyze Image Segmentation

    Skills you'll gain: Failure Analysis, Applied Machine Learning, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Forecasting and Predictive Analytics Methods Pack

    Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Forecasting, Trend Analysis, Advanced Analytics, Predictive Modeling, Predictive Analytics, Data-Driven Decision-Making, Business Analytics, Supervised Learning, Business Metrics, Market Data, Generative AI, Financial Management, Strategic Decision-Making, Market Intelligence, Statistical Analysis, Model Evaluation, Data Storytelling, Applied Machine Learning

    4
    Rating, 4 out of 5 stars
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    57 reviews

    Intermediate · Specialization · 1 - 3 Months

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    Packt

    Mastering Python for Data Science

    Skills you'll gain: Data Science, Statistical Inference, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistics, Regression Analysis, Apache Hadoop, Big Data, Machine Learning, Data Manipulation, Data Preprocessing, Data Analysis, Analytics, Random Forest Algorithm, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS

    Intermediate · Course · 1 - 3 Months

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

  • Generative AI Fundamentals: Alberta Machine Intelligence Institute
  • Probability Foundations for Data Science and AI: University of Colorado Boulder
  • Digital Transformation Using AI/ML with Google Cloud: Google Cloud
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
  • Python Programming and Data Science Foundations for AI: Packt
  • Analyze & Build a Churn Prediction Model in R: EDUCBA
  • Physics Fundamentals: Mechanics: Universitat Politècnica de València
  • Genomic Data Science: Johns Hopkins University
  • Balance and Analyze Image Segmentation: Coursera

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