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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
    B

    Board Infinity

    Continuous Integration (CI) Insight for Agile Development

    Skills you'll gain: Continuous Integration, CI/CD, Jenkins, Test Automation, GitLab, Continuous Delivery, Continuous Deployment, Agile Software Development, Unit Testing, DevSecOps, Integration Testing, Software Development, Git (Version Control System), Application Deployment, Application Security, Automation, Debugging, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Deutsch

    Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Infrastructure, Tensorflow, Model Deployment, AI Workflows, Applied Machine Learning, Data Preprocessing, Artificial Intelligence, Data Processing, Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 3 Months

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

    EDUCBA

    Octave Machine Learning: Apply, Analyze & Build

    Skills you'll gain: Scalability, Time Series Analysis and Forecasting, File I/O, Predictive Modeling, Programming Principles, Data Import/Export, Matlab, Exploratory Data Analysis, Scripting, Data Preprocessing, Statistical Analysis, Data Analysis, Data Processing, Data Manipulation, Applied Machine Learning

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Gemini for Data Scientists and Analysts - 한국어

    Skills you'll gain: Gemini, Artificial Intelligence and Machine Learning (AI/ML), Customer Insights, Applied Machine Learning, Customer Analysis, Generative AI, Data Integration, Predictive Analytics, Customer Data Management, Time Series Analysis and Forecasting, Marketing Strategies

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Siemens

    응용 전산 유체 역학

    Skills you'll gain: Engineering Analysis, Thermal Management, Simulations, Mechanical Engineering, Numerical Analysis, Engineering, Mathematical Modeling

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    R أساسيات لغة البرمجة

    Skills you'll gain: Exploratory Data Analysis, R Programming, Data Manipulation, Statistical Programming, Data Analysis, File Management, Integrated Development Environments, Programming Principles, Data Science, Data Structures, Computer Programming

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Introduction to DeepSeek

    Skills you'll gain: Deepseek, Model Deployment, AI Enablement, Responsible AI, LLM Application, Generative Model Architectures, Competitive Analysis, AI Workflows, Strategic Planning, AI Personalization, Application Deployment, Data Ethics, Model Evaluation, Case Studies, Prompt Engineering, Cost Benefit Analysis, Automation, Integration Testing, Process Optimization, Program Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Applied Machine Learning, Small Data, Autoencoders, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Assets

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    M

    Microsoft

    Mastering Data Wrangling with dplyr

    Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Exploratory Data Analysis, Data Analysis, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    GNU Octave: Apply, Implement & Design Functions

    Skills you'll gain: Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Trigonometry, Programming Principles, Data Manipulation, Engineering Calculations, Linear Algebra, Scripting Languages, Data Structures

    Mixed · Course · 1 - 4 Weeks

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

    EDUCBA

    NumPy & Pandas: Analyze & Manage Retail Data

    Skills you'll gain: Data Import/Export, NumPy, Pandas (Python Package), Pivot Tables And Charts, Business Reporting, Data Manipulation, Analytics, Data Processing, Management Reporting, Data Wrangling, Business Analytics, Data Cleansing, Data Analysis, Data Transformation, Statistical Analysis, Data Management, Descriptive Statistics, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

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

  • Continuous Integration (CI) Insight for Agile Development : Board Infinity
  • Introduction to AI and Machine Learning on GC - Deutsch: Google Cloud
  • Octave Machine Learning: Apply, Analyze & Build: EDUCBA
  • Gemini for Data Scientists and Analysts - 한국어: Google Cloud
  • 응용 전산 유체 역학: Siemens
  • R أساسيات لغة البرمجة: Coursera
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Introduction to DeepSeek: Coursera
  • Machine Learning with Small Data Part 2: Northeastern University
  • Mastering Data Wrangling with dplyr: Microsoft

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