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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.


Popular Applied Statistics Courses and Certifications


  • Status: New
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    Packt

    Power BI Masterclass

    Skills you'll gain: Data Analysis Expressions (DAX), Customer Insights, Power BI, Data Modeling, Dashboard, Data Transformation, Data Import/Export, Data Manipulation, Data Literacy, Database Design, Interactive Data Visualization, Data Processing, Big Data, Business Intelligence, Data Integration, Star Schema, Time Series Analysis and Forecasting, Data Visualization Software, Data Cleansing, Trend Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Regression Analysis, Data Cleansing, Correlation Analysis, Data Preprocessing, Matplotlib, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Statistical Inference, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    201 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Alberta

    Software Processes and Agile Practices

    Skills you'll gain: Agile Methodology, Kanban Principles, Agile Software Development, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Engineering, Process Driven Development

    4.7
    Rating, 4.7 out of 5 stars
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    5.3K reviews

    Mixed · Course · 1 - 4 Weeks

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    University of Maryland, College Park

    Combining and Analyzing Complex Data

    Skills you'll gain: Statistical Analysis, Data Analysis Software, STATA (Software), Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Logistic Regression, Informed Consent

    4.2
    Rating, 4.2 out of 5 stars
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    69 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Analyze Data in Azure ML Studio

    Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Probability & Statistics, Data Visualization Software, Correlation Analysis, Applied Machine Learning

    Beginner · Guided Project · Less Than 2 Hours

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    Packt

    Programming APIs with C# and .NET

    Skills you'll gain: GraphQL, API Design, Restful API, Application Programming Interface (API), Cloud API, ASP.NET, Authentications, Data Validation, .NET Framework, Authorization (Computing), C# (Programming Language), Serverless Computing, Software Documentation, Microsoft Azure, Software Architecture, Verification And Validation, Application Deployment, Debugging

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Advanced Analyze Phase

    Skills you'll gain: Statistical Hypothesis Testing, Six Sigma Methodology, Lean Six Sigma, Process Improvement, Quality Improvement, Process Optimization, Statistical Analysis, Statistics, Data Analysis, Variance Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    982 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    The Hong Kong University of Science and Technology

    Information Systems Auditing, Controls and Assurance

    Skills you'll gain: Continuous Monitoring, Risk Management, FinTech, Change Management, Emerging Technologies

    4.7
    Rating, 4.7 out of 5 stars
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    4K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
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    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Alberta

    Client Needs and Software Requirements

    Skills you'll gain: Requirements Analysis, Requirements Elicitation, Requirements Management, Functional Requirement, Business Requirements, Product Requirements, Backlogs, User Requirements Documents, Scope Management, Change Control, User Story, System Requirements, Client Services, Acceptance Testing, Agile Software Development, Prioritization

    4.8
    Rating, 4.8 out of 5 stars
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    3.1K reviews

    Mixed · Course · 1 - 4 Weeks

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    Microsoft

    AI-Enhanced Data Analysis: From Raw Data to Deep Insights

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing

    4.3
    Rating, 4.3 out of 5 stars
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    388 reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to applied statistics

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

  • Power BI Masterclass: Packt
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
  • Software Processes and Agile Practices: University of Alberta
  • Combining and Analyzing Complex Data: University of Maryland, College Park
  • Analyze Data in Azure ML Studio: Coursera
  • Programming APIs with C# and .NET: Packt
  • Six Sigma Advanced Analyze Phase: Kennesaw State University
  • Managing Machine Learning Models: SAS
  • Information Systems Auditing, Controls and Assurance: The Hong Kong University of Science and Technology
  • Introduction to Computer Vision and Image Processing: IBM

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