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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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    Google Cloud

    Introduction to Image Generation - 한국어

    Skills you'll gain: Generative AI, Generative Model Architectures, Model Deployment, Image Analysis, Applied Mathematics, Physics

    Beginner · Course · 1 - 4 Weeks

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    Board Infinity

    Continuous Integration (CI) Insight for Agile Development

    Skills you'll gain: Continuous Integration, CI/CD, Jenkins, Test Automation, GitLab, Continuous Delivery, Continuous Deployment, Agile Software Development, Unit Testing, DevSecOps, Integration Testing, Software Development, Git (Version Control System), Application Deployment, Application Security, Automation, Debugging, Scalability

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Attention Mechanism - 繁體中文

    Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Octave for Machine Learning: Analyze & Visualize

    Skills you'll gain: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Preprocessing, Data Manipulation, Linear Algebra, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    The Simplest Guide™ to Base SAS & Advanced SAS

    Skills you'll gain: SAS (Software), Data Visualization, Data Manipulation, Data Analysis, Data Import/Export, Data Visualization Software, SQL, Statistical Analysis, Data Cleansing, Data Transformation, Exploratory Data Analysis

    Intermediate · Course · 1 - 3 Months

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    Packt

    Foundations of AI in Game Development

    Skills you'll gain: C# (Programming Language), Debugging

    Intermediate · Course · 1 - 3 Months

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    C

    Coursera

    Design and Optimize User Funnels

    Skills you'll gain: Process Mapping, Process Analysis, Web Analytics, Dashboard, Process Design, Customer experience improvement, Driving engagement, Process Improvement and Optimization, User Feedback, Marketing Analytics, Customer Insights, Customer Analysis, Key Performance Indicators (KPIs), Analysis, Business Metrics, Data-Driven Decision-Making

    Intermediate · Course · 1 - 4 Weeks

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    U

    Universidades Anáhuac

    Deep Learning: Del Concepto a la Práctica

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming

    Beginner · Course · 1 - 4 Weeks

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    Real Madrid Graduate School Universidad Europea

    Future of data and technology in football

    Skills you'll gain: Applied Machine Learning, Image Analysis, Computer Vision, Analytics, Real Time Data, AI Enablement, Reinforcement Learning, Large Language Modeling, Advanced Analytics, Data-Driven Decision-Making, AI Workflows, Machine Learning, Artificial Intelligence, Analysis, Automation, Supervised Learning, Natural Language Processing, Data Presentation, Innovation, Data Collection

    Beginner · Course · 1 - 4 Weeks

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    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

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    Real Madrid Graduate School Universidad Europea

    Conceptos imprescindibles - Requisitos para el análisis

    Skills you'll gain: Data Literacy, Technical Communication, Probability & Statistics, Web Scraping, Data Import/Export, JSON, Statistical Analysis, Pandas (Python Package), Analytical Skills, Descriptive Statistics, Data Manipulation, Probability, Data Collection, Data Capture, Restful API, Performance Measurement, Data Cleansing, Application Programming Interface (API)

    Beginner · Course · 1 - 4 Weeks

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    Northwestern University

    현대 로봇공학, 강좌 3: 로봇 동역학

    Skills you'll gain: Robotics, Mathematical Modeling, Computer Programming Tools, Simulation and Simulation Software, Mechanics, Torque (Physics), Algorithms, Applied Mathematics, Differential Equations, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction to Image Generation - 한국어: Google Cloud
  • Continuous Integration (CI) Insight for Agile Development : Board Infinity
  • Attention Mechanism - 繁體中文: Google Cloud
  • Octave for Machine Learning: Analyze & Visualize: EDUCBA
  • The Simplest Guide™ to Base SAS & Advanced SAS: Packt
  • Foundations of AI in Game Development: Packt
  • Design and Optimize User Funnels: Coursera
  • Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
  • Future of data and technology in football : Real Madrid Graduate School Universidad Europea
  • Introduction to Red Hat OpenShift AI: Red Hat

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