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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: Free Trial
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    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Statistical Methods, Data Preprocessing, Applied Machine Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    3.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    Coursera

    Optimize and Deploy Edge AI Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Fine-Tuning and Evaluating Vision AI Models

    Skills you'll gain: Transfer Learning, Image Analysis, Computer Vision, Model Evaluation, Convolutional Neural Networks, Verification And Validation, Model Deployment, Performance Metric, Quality Assessment, Performance Tuning, Performance Measurement, Data Quality, Applied Machine Learning, Data Validation, Performance Analysis, Predictive Modeling, Statistical Machine Learning, Statistical Modeling

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Infrastructure, Data Presentation, Data Processing, MongoDB

    4.5
    Rating, 4.5 out of 5 stars
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    14K reviews

    Beginner · Specialization · 3 - 6 Months

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    Yale University

    Understanding Medical Research: Your Facebook Friend is Wrong

    Skills you'll gain: Research Design, Medical Science and Research, Statistical Methods, Descriptive Statistics, Data Literacy, Scientific Methods, Clinical Research, Research, Biostatistics, Sampling (Statistics), Medical Terminology

    4.9
    Rating, 4.9 out of 5 stars
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    2.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

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    IBM

    IBM Hybrid Cloud Architect

    Skills you'll gain: Cloud-Native Computing, Infrastructure as Code (IaC), Cloud Security, Cloud Storage, Hybrid Cloud Computing, Systems Analysis, Process Improvement, Cloud Engineering, Cloud Computing, Cloud Solutions, Cloud Development, Requirements Analysis, Data Modeling, Multi-Cloud, DevOps, Docker (Software), Solution Design, Microservices, Infrastructure As A Service (IaaS), Information Technology

    4.6
    Rating, 4.6 out of 5 stars
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    7.8K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    University of Minnesota

    Human Resource Management: HR for People Managers

    Skills you'll gain: Performance Management, Performance Appraisal, Performance Review, Compensation Management, Compensation Strategy, Compensation and Benefits, Constructive Feedback, Workforce Planning, Human Resource Strategy, Human Resources, Employee Onboarding, Recruitment, Employee Performance Management, Recruitment Strategies, Human Capital, Full Cycle Recruitment, Talent Acquisition, Human Resources Management and Planning, Compensation Analysis, People Management

    4.8
    Rating, 4.8 out of 5 stars
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    16K reviews

    Beginner · Specialization · 3 - 6 Months

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    University of Michigan

    Data Science Ethics

    Skills you'll gain: Data Ethics, Data Analysis, Bayesian Statistics, Policy Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    The Data Scientist’s Toolbox

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
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    34K reviews

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Analyze and Develop Core Personality Skills for Beginners

    Skills you'll gain: Tenacity, Persistence, Relationship Building, Personal Attributes, Conflict Management, Self-Awareness, Personal Development, Growth Mindedness, Resilience, Ethical Standards And Conduct, Emotional Intelligence, Professionalism, Self-Discipline, Analytical Skills, Human Development, Psychology, Psychological Evaluations, Psychosocial Assessments, Applied Behavior Analysis, Communication

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

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

  • IBM Machine Learning: IBM
  • Optimize and Deploy Edge AI Models: Coursera
  • Fine-Tuning and Evaluating Vision AI Models: Coursera
  • Big Data: University of California San Diego
  • Understanding Medical Research: Your Facebook Friend is Wrong: Yale University
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • IBM Hybrid Cloud Architect: IBM
  • Human Resource Management: HR for People Managers: University of Minnesota
  • Data Science Ethics: University of Michigan
  • The Data Scientist’s Toolbox: Johns Hopkins University

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