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    • Applied Statistics

    Applied Statistics Courses Online

    Understand applied statistics for data analysis and interpretation. Learn statistical methods and tools for various industries.

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    Explore the Applied Statistics Course Catalog

    • Status: Free Trial
      Free Trial
      H

      Howard University

      Building Regression Models with Linear Algebra

      Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Applied Mathematics, Machine Learning Methods, Linear Algebra, NumPy, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Art and Science of Machine Learning em Português Brasileiro

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Supervised Learning, Dimensionality Reduction, Google Cloud Platform, Performance Tuning, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Training AI with Humans

      Skills you'll gain: Applied Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Human Machine Interfaces, Data Collection, Human Factors, Experimentation, Data Quality, Data Validation, Statistical Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Online Influence and Persuasion

      Skills you'll gain: Applied Machine Learning, JSON, Network Analysis, Machine Learning, Data Processing, Social Sciences, Extensible Markup Language (XML), Analytics, Application Programming Interface (API), Data Transformation, Statistical Analysis, Scripting, Data Collection, Psychology, Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Nonlinear Kalman Filters (and Parameter Estimation)

      Skills you'll gain: Estimation, Engineering Calculations, Numerical Analysis, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Simulation and Simulation Software, System Implementation, Calculus, Computer Programming Tools, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Quantization in Depth

      Skills you'll gain: Dimensionality Reduction, PyTorch (Machine Learning Library), Performance Tuning, Scalability, Applied Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Preview
      Preview
      C

      Coursera Instructor Network

      GenAI in Action: From Theory to Real-World Impact

      Skills you'll gain: Generative AI, Operational Efficiency, Artificial Intelligence, Manufacturing Operations, Real Time Data, Automation, AI Personalization, Health Informatics, Health Technology, Business Process Automation, FinTech, Accounting and Finance Software, Applied Machine Learning, Customer experience improvement, Critical Thinking

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      P

      Politecnico di Milano

      Derivatives: a guide to calculation

      Skills you'll gain: Calculus, Derivatives, Advanced Mathematics, Applied Mathematics, Algebra, Mathematical Theory & Analysis, Graphing, Geometry

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      ML Parameters Optimization: GridSearch, Bayesian, Random

      Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Machine Learning Methods, Applied Machine Learning, Machine Learning, Bayesian Statistics, Sampling (Statistics), Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Preview
      Preview
      C

      Coursera Instructor Network

      GenAI for Fraud Analysts: Improving Detection Efficiency

      Skills you'll gain: Anomaly Detection, Generative AI, ChatGPT, Operational Efficiency, Workflow Management, Compliance Management, Trend Analysis, Process Analysis, Artificial Intelligence, Data Synthesis, Predictive Analytics, Automation, Risk Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      S

      Sungkyunkwan University

      Recommender Systems

      Skills you'll gain: Scalability, Deep Learning, AI Personalization, System Design and Implementation, Machine Learning Software, Data Processing, Applied Machine Learning, Unsupervised Learning, Algorithms, Machine Learning Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      C

      Coursera Project Network

      Landing.AI for Beginners: Build Data Visualization AI Models

      Skills you'll gain: Generative AI, Computer Vision, Image Analysis, Cloud Computing, Visualization (Computer Graphics), Application Deployment, Prompt Engineering, Applied Machine Learning

      Beginner · Course · 1 - 4 Weeks

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    1…161162163…206

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

    • Building Regression Models with Linear Algebra: Howard University
    • Art and Science of Machine Learning em Português Brasileiro: Google Cloud
    • Training AI with Humans: Johns Hopkins University
    • Online Influence and Persuasion: Johns Hopkins University
    • Nonlinear Kalman Filters (and Parameter Estimation): University of Colorado System
    • Quantization in Depth: DeepLearning.AI
    • GenAI in Action: From Theory to Real-World Impact: Coursera Instructor Network
    • Derivatives: a guide to calculation: Politecnico di Milano
    • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
    • GenAI for Fraud Analysts: Improving Detection Efficiency: Coursera Instructor Network

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