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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 Trial
    Free Trial
    U

    University of Maryland, College Park

    Digital Marketing Analytics

    Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Web Analytics, Search Engine Optimization, Analytics, Digital Marketing, Data-Driven Decision-Making, A/B Testing, Data Analysis, Contextual Advertising, Big Data, Key Performance Indicators (KPIs), Customer Data Management, Predictive Analytics, Artificial Intelligence and Machine Learning (AI/ML), Consumer Behaviour, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building a Real-World Data Science Solution

    Skills you'll gain: AWS SageMaker, Exploratory Data Analysis, Feature Engineering, Dashboard, Data Presentation, Model Evaluation, Data Visualization, Data Pipelines, Project Documentation, Solution Delivery, Amazon Web Services, Data Analysis, Data Integration, Cloud Development, Technical Documentation, Business Intelligence, Cloud Infrastructure, Technical Communication, Automation, Project Management

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Siemens

    Dynamique des fluides numérique appliquée

    Skills you'll gain: Thermal Management, Finite Element Methods, Engineering Analysis, Mechanical Engineering, Engineering, Scientific Visualization, Simulations, Numerical Analysis, Mathematical Modeling, Differential Equations, Physics

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Dark Data Migration and Architecture

    Skills you'll gain: Data Transformation, Engineering Management, Data-Driven Decision-Making, Computational Thinking, Exploratory Data Analysis, Data Storytelling, Data Integration, Capacity Management, Data Analysis, Decision Making, Data Warehousing, Data Strategy, Data Management, Small Data, Data Lakes, Unstructured Data, Business Intelligence, Data Governance, Data Access, Data Literacy

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    컴퓨터 비전 분야에서의 딥 러닝 응용 사례

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms

    Intermediate · Course · 1 - 3 Months

  • H

    H2O.ai

    H2O Driverless AI Starter Course

    Skills you'll gain: Data Preprocessing, Predictive Modeling, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Analysis, Machine Learning, Model Evaluation, Model Deployment, Interactive Data Visualization, Data Import/Export, Virtual Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 한국어

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

    Intermediate · Course · 1 - 4 Weeks

  • 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, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

    Intermediate · 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: 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
    E

    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

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Smart Data Cleaning with Generative AI

    Skills you'll gain: Data Quality, Responsible AI, Data Cleansing, Generative AI, Data Preprocessing, Data Validation, Automation, Data Transformation, Tensorflow, OpenAI, Artificial Intelligence, Alteryx

    Intermediate · Course · 1 - 3 Months

1…194195196…224

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

  • Digital Marketing Analytics: University of Maryland, College Park
  • Building a Real-World Data Science Solution : Coursera
  • Dynamique des fluides numérique appliquée: Siemens
  • Dark Data Migration and Architecture: Arizona State University
  • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
  • H2O Driverless AI Starter Course: H2O.ai
  • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
  • Data Science Decisions in Time: Using Causal Information: Johns Hopkins University
  • Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
  • MLOps in R: Deploying machine learning models using vetiver: Coursera

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