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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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    EDUCBA

    Analyze and Manage Stakeholder Communications Effectively

    Skills you'll gain: Stakeholder Management, Stakeholder Communications, Stakeholder Analysis, Stakeholder Engagement, Leadership Studies, Strategic Communication, Communication Strategies, Expectation Management, Business Leadership, Project Management, Relationship Management, Customer Relationship Building, Change Management, Communication, Data Visualization, Continuous Monitoring

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Analyze and Apply Project Finance Methods and Functions

    Skills you'll gain: Project Finance, Financial Modeling, Risk Analysis, Loans, Financial Analysis, Financial Forecasting, Excel Formulas, Project Risk Management, Cost Benefit Analysis, Revenue Forecasting, Risk Management, Due Diligence, Microsoft Excel, Cash Flows

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Apply Color Grading Techniques in Adobe Premiere Pro

    Skills you'll gain: Photo/Video Production and Technology, Image Analysis

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Implement NGINX Web Servers and Reverse Proxy Solutions

    Skills you'll gain: Nginx, Load Balancing, Performance Tuning, Scalability, Web Servers, Proxy Servers, Web Applications, Virtual Networking, Security Controls, Authentications, Server Administration, Application Servers, Servers, Middleware

    Beginner · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
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    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Learn to Analyze Data with Splunk Fundamentals

    Skills you'll gain: Dashboard, Splunk, Data Analysis, Exploratory Data Analysis, Software Installation, Query Languages, Data Processing, Data Visualization Software, Time Series Analysis and Forecasting, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Visualize, Analyze, and Boost Marketing Performance

    Skills you'll gain: Dashboard, Marketing Analytics, Performance Analysis, Business Intelligence, Performance Measurement, Marketing Effectiveness, Web Analytics, Interactive Data Visualization, Marketing Strategies, Business Marketing, Customer Analysis, Data Storytelling, Data Presentation, Data Analysis, Customer Insights, Process Improvement and Optimization, Performance Improvement, Gap Analysis, Analytics

    Beginner · Course · 1 - 4 Weeks

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    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Master AI & AWS Cloud Skills: Analyze, Build, Deploy

    Skills you'll gain: AWS SageMaker, Responsible AI, Artificial Intelligence, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, Supervised Learning, Computer Vision, Image Analysis, Model Evaluation, Unsupervised Learning, Data Preprocessing, Natural Language Processing, Deep Learning, Reinforcement Learning

    Beginner · Course · 1 - 4 Weeks

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    Universitat Autònoma de Barcelona

    ¿Cómo persuadir? Jugando con palabras, imágenes y números

    Skills you'll gain: Persuasive Communication, Oral Expression, Storytelling, Data Presentation, Research, Graphic and Visual Design, Persona (User Experience), Statistics, Psychology

    4.4
    Rating, 4.4 out of 5 stars
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    3.3K reviews

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Apply & Deploy XML-to-JSON Conversion Using AWS Lambda

    Skills you'll gain: Serverless Computing, API Gateway, Extensible Markup Language (XML), JSON, Amazon Web Services, Cloud Deployment, Cloud Development, Application Programming Interface (API), Cloud Applications, Restful API, Data Processing, Data Transformation

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Transform Healthcare Data: Cleanse and Evaluate

    Skills you'll gain: Data Cleansing, Data Quality, Clinical Data Management, Health Informatics, Patient Safety, Data Transformation, Data Preprocessing, Data Validation, Exploratory Data Analysis, Data-Driven Decision-Making, Descriptive Statistics, Statistical Analysis, Text Mining, Data Visualization, Microsoft Excel, Anomaly Detection

    Beginner · Course · 1 - 4 Weeks

1…616263…268

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

  • Analyze and Manage Stakeholder Communications Effectively: EDUCBA
  • Analyze and Apply Project Finance Methods and Functions: EDUCBA
  • Apply Color Grading Techniques in Adobe Premiere Pro: EDUCBA
  • Implement NGINX Web Servers and Reverse Proxy Solutions: EDUCBA
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Learn to Analyze Data with Splunk Fundamentals: EDUCBA
  • Visualize, Analyze, and Boost Marketing Performance: Coursera
  • Introduction to Machine Learning: Duke University
  • Master AI & AWS Cloud Skills: Analyze, Build, Deploy: EDUCBA
  • ¿Cómo persuadir? Jugando con palabras, imágenes y números: Universitat Autònoma de Barcelona

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