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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

    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

  • Status: New
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    Packt

    AI-900 - Azure AI Fundamentals and Two Practice Tests

    Skills you'll gain: Unsupervised Learning, Responsible AI, Classification Algorithms

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Python: Master House Price Prediction with Linear Regression

    Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Make Continuous Improvements with Retrospective Maps in Miro

    Skills you'll gain: Sprint Retrospectives, Miro AI, Collaborative Software, Continuous Improvement Process, Stakeholder Engagement, Process Improvement, Project Controls, Project Documentation, Meeting Facilitation, Project Management, Agile Software Development

    Intermediate · Guided Project · Less Than 2 Hours

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    Packt

    Data Analytics in Excel Using Real-World Examples

    Skills you'll gain: Microsoft Excel, Excel Formulas, Data Management, Data Analysis, Data Cleansing, Pivot Tables And Charts, Analytical Skills, Data Manipulation, Data Entry, Statistical Analysis, Data Import/Export, Data Quality, Data Visualization Software, Data Validation, Forecasting

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Kanban for Software Project Management

    Skills you'll gain: Kanban Principles, Workflow Management, Agile Software Development, Sprint Planning, Agile Project Management, Project Estimation, Agile Methodology, Project Management Software, Estimation, Process Optimization, Backlogs, User Story, Process Improvement, Resource Utilization

    Beginner · Course · 1 - 3 Months

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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Application Lifecycle Management, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Continuous Integration, Applied Machine Learning, Data Management

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Advanced Machine Learning with R: Apply & Predict

    Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Analyze Customer Reviews with Gemini Using Python Notebooks

    Skills you'll gain: Google Gemini, Google Cloud Platform, Customer Analysis, Cloud Management, Applied Machine Learning, Jupyter, Cloud Applications, LLM Application, Text Mining, Machine Learning, Business Reporting, SQL

    Intermediate · Project · Less Than 2 Hours

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    EDUCBA

    Unity: Design & Implement Advanced Rendering Effects

    Skills you'll gain: Unity Engine, Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, C# (Programming Language), Linear Algebra, Scripting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Mixed · Course · 1 - 4 Weeks

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    Google Cloud

    ML Pipelines on Google Cloud - 한국어

    Skills you'll gain: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Continuous Integration, Kubernetes, Metadata Management, Machine Learning Methods, Continuous Deployment, AI Orchestration, Model Deployment, AI Workflows, Applied Machine Learning, Model Evaluation, Containerization, Cloud Storage, Data Validation

    Advanced · Course · 1 - 3 Months

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    University of Alberta

    캡스톤 : 소프트웨어 제품 관리 실전 프로젝트

    Skills you'll gain: Sprint Planning, Agile Software Development, Product Demonstration, Agile Methodology, Requirements Analysis, Agile Project Management, Risk Management, Agile Product Development, Virtual Environment, Product Requirements, Product Management, Backlogs, Customer Communications Management, Customer Service, Presentations, User Story, Team Management, Prioritization

    Mixed · Course · 1 - 3 Months

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

  • Attention Mechanism - 繁體中文: Google Cloud
  • AI-900 - Azure AI Fundamentals and Two Practice Tests: Packt
  • Python: Master House Price Prediction with Linear Regression: EDUCBA
  • Make Continuous Improvements with Retrospective Maps in Miro: Coursera
  • Data Analytics in Excel Using Real-World Examples: Packt
  • Kanban for Software Project Management: Packt
  • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
  • Advanced Machine Learning with R: Apply & Predict: EDUCBA
  • Analyze Customer Reviews with Gemini Using Python Notebooks: Google Cloud
  • Unity: Design & Implement Advanced Rendering Effects: EDUCBA

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