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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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    U

    University of Glasgow

    Generative AI for Data Science

    Skills you'll gain: Responsible AI, Generative AI, Data Ethics, ChatGPT, Data Science, LLM Application, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Security, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Decide with Data: Boost Patient Outcomes

    Skills you'll gain: Health Informatics, Data Analysis, Patient-centered Care, Analytics, Descriptive Analytics, Data Storytelling, Data-Driven Decision-Making, Data Presentation, Clinical Data Management, Statistical Methods, Probability & Statistics

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Managing AI Projects That Ship and Scale

    Skills you'll gain: Milestones (Project Management), Acceptance Testing, CI/CD, Scope Management, MLOps (Machine Learning Operations), Feature Engineering, Governance Risk Management and Compliance, Capacity Management, Responsible AI, Smart Goals, Project Risk Management, Compliance Management, Stakeholder Communications, Data Governance, Risk Analysis, Model Evaluation, Applied Machine Learning, Project Planning, Risk Management, Mitigation

    Intermediate · Specialization · 3 - 6 Months

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    EDUCBA

    Apply C# Skills Through a Student Management Project

    Skills you'll gain: Data Modeling, User Interface (UI), C# (Programming Language), Microsoft Visual Studio, Application Development, User Interface and User Experience (UI/UX) Design, Data Management, Data Validation, Object Oriented Programming (OOP), Verification And Validation

    Beginner · Course · 1 - 4 Weeks

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    Packt

    AI Engineering and Deployment

    Skills you'll gain: Model Deployment, Tensorflow, Recurrent Neural Networks (RNNs), BeeAI, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Responsible AI, Agentic systems, Artificial Intelligence, AI Security, Scalability, Applied Machine Learning, Machine Learning

    Advanced · Course · 1 - 4 Weeks

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    Packt

    Fundamentals of Machine Learning

    Beginner · Course · 1 - 4 Weeks

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    LearnQuest

    Scrum Master Certification

    Skills you'll gain: User Story, Behavior-Driven Development, DevSecOps, Agile Project Management, Test Driven Development (TDD), Backlogs, Sprint Planning, Kanban Principles, Agile Methodology, Scrum (Software Development), Continuous Integration, Agile Software Development, Project Risk Management, Sprint Retrospectives, Lean Methodologies, Scaled Agile Framework, DevOps, Risk Management, Agile Product Development, Management Reporting

    4.6
    Rating, 4.6 out of 5 stars
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    3.4K reviews

    Beginner · Specialization · 3 - 6 Months

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    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
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    11 reviews

    Beginner · Specialization · 1 - 3 Months

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    Emory University

    Foundations of Marketing Analytics

    Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Consumer Behaviour, Descriptive Statistics, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Target Market, Marketing Effectiveness, Social Media, Model Evaluation, Business Analysis, Time Series Analysis and Forecasting, Microsoft Excel, Marketing

    4.3
    Rating, 4.3 out of 5 stars
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    530 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Rice University

    Introduction to Data Analysis Using Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    10K reviews

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Generative AI Foundations for Absolute Beginners

    Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Data Ethics, Large Language Modeling, Artificial Intelligence, Machine Learning, Artificial Neural Networks, Computer Science, Deep Learning, Machine Learning Algorithms

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Apply C++ Graphics to Visualize Pandemic Population Data

    Skills you'll gain: Data Visualization Software, Visualization (Computer Graphics), C++ (Programming Language), Application Development, Graphing, Computer Graphics, Verification And Validation, Data Validation, Data Structures, Software Testing

    Intermediate · Course · 1 - 4 Weeks

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

  • Generative AI for Data Science: University of Glasgow
  • Decide with Data: Boost Patient Outcomes: Coursera
  • Managing AI Projects That Ship and Scale: Coursera
  • Apply C# Skills Through a Student Management Project: EDUCBA
  • AI Engineering and Deployment: Packt
  • Fundamentals of Machine Learning: Packt
  • Scrum Master Certification: LearnQuest
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Foundations of Marketing Analytics: Emory University
  • Introduction to Data Analysis Using Excel: Rice University

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