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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


  • Status: Free
    Free
    C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Intermediate Python and Practical Skills

    Skills you'll gain: File I/O, JSON, Package and Software Management, Authorization (Computing), Web Scraping, Application Programming Interface (API), Python Programming, Authentications, Object Oriented Programming (OOP), Data Processing, Simulations, Data Management, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Skillshare

    SEO Audits: Find & Fix Common Website SEO Issues

    Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Keyword Research, Auditing, Content Strategy, Web Analytics, Content Performance Analysis, Technical Support, Extensible Markup Language (XML)

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    Skills you'll gain: Google Cloud Platform, Model Deployment, Tensorflow, Kubernetes, Scalability, Cloud Deployment, Image Analysis, Applied Machine Learning, Cloud Computing, MLOps (Machine Learning Operations), Convolutional Neural Networks, Cloud Management, Cloud Storage, Data Management

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Retail Management Strategies: Apply & Analyze

    Skills you'll gain: Retail Management, Case Studies, Retail Store Operations, Competitive Analysis, Market Analysis, Strategic Planning, Market Intelligence, Business Strategy, Business, Business Management, Organizational Strategy, Analysis, Geographic Information Systems

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Plant Design & Economics

    Skills you'll gain: Plant Operations and Management, Process Engineering, Cost Management, Process Improvement, Project Management, Engineering Management, Operational Efficiency, Process Analysis, Process Optimization, Budgeting, Engineering Design Process, Safety Standards, Performance Improvement, Simulation and Simulation Software, Cost Estimation, Operational Excellence, Financial Planning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Troubleshooting and Solving Data Join Pitfalls

    Skills you'll gain: Big Data, Data Cleansing, Exploratory Data Analysis, Google Analytics, Data Integration, Data Manipulation, SQL, Database Administration

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Case Studies in Geostatistical Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Geospatial Information and Technology, Geographic Information Systems, Geospatial Mapping, Data Cleansing, Data Analysis, Statistical Modeling, Statistical Analysis, Oil and Gas, Statistical Reporting, Statistical Methods, Estimation, Simulation and Simulation Software, Data Integration

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Causal Information

    Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Decision Making, Health Policy, Random Forest Algorithm, Personalized Service, A/B Testing, Machine Learning, Online Advertising

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Algebraic, Exponential & Log Functions

    Skills you'll gain: Algebra, Applied Mathematics, Graphing, Mathematical Modeling, Advanced Mathematics, Calculus, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of AI in Game Development

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

    Intermediate · Course · 1 - 3 Months

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

  • MLOps in R: Deploying machine learning models using vetiver: Coursera
  • Intermediate Python and Practical Skills: Packt
  • SEO Audits: Find & Fix Common Website SEO Issues : Skillshare
  • Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
  • Retail Management Strategies: Apply & Analyze: EDUCBA
  • Plant Design & Economics: Coursera
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Troubleshooting and Solving Data Join Pitfalls: Google Cloud
  • Case Studies in Geostatistical Modeling : Case Western Reserve University
  • Data Science Decisions in Time: Using Causal Information: Johns Hopkins University

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