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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
    Free Trial
    G

    Google Cloud

    Google Cloud Digital Leader Training

    Skills you'll gain: Cloud Management, Digital Transformation, Data Governance, Cloud Services, Distributed Denial-Of-Service (DDoS) Attacks, Serverless Computing, Cloud Security, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Google Cloud Platform, Real Time Data, Hybrid Cloud Computing, Business Transformation, Multi-Cloud, Data Management, Data Warehousing, Cloud Platforms, Infrastructure As A Service (IaaS), Cloud Computing, Cyber Governance

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Graph Search, Shortest Paths, and Data Structures

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Social Network Analysis, Network Analysis, Theoretical Computer Science, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Mathematics for Engineering

    Skills you'll gain: Data Analysis, Computational Logic, Integral Calculus, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Statistical Methods, Analysis, Advanced Mathematics, Bayesian Statistics, Statistical Inference, Theoretical Computer Science, Mathematics and Mathematical Modeling, Numerical Analysis, Descriptive Analytics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    197 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Software Development Lifecycle

    Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Software Design, Agile Methodology, Agile Project Management, Process Mapping, Software Engineering, Kanban Principles, Kaizen Methodology, Software Development Life Cycle, Software Quality Assurance, Agile Product Development, Application Security, Security Architecture Review, Scrum (Software Development), Object Oriented Design, Software Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Robotic Methodologies

    Skills you'll gain: Data Ethics, Systems Thinking, Analytical Skills, Mechanical Design, Critical Thinking, Problem Solving, Applied Mathematics

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    AI-Powered Decision Intelligence: Data to Strategic Insights

    Skills you'll gain: Classification And Regression Tree (CART), Dashboard Creation, Dashboard, Decision Intelligence, Descriptive Statistics, Root Cause Analysis, Data Analysis, Predictive Modeling, Advanced Analytics, Tableau Software, Scikit Learn (Machine Learning Library), Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Apache Spark, Keras (Neural Network Library), Retrieval-Augmented Generation, Reinforcement Learning, Apache Kafka, SQL

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Advanced Define and Measure Phases

    Skills you'll gain: Process Capability, Team Management, Team Performance Management, Statistical Process Controls, Team Building, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Probability Distribution, Statistical Methods, Process Analysis, Data Literacy, Process Flow Diagrams, Statistical Analysis, Lean Six Sigma, Process Mapping, Correlation Analysis, Data Collection, Performance Measurement, Process Improvement and Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Artificial Neural Networks, Transfer Learning, Unsupervised Learning, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Tensorflow, Logistic Regression

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Excel for Data Analysis

    Skills you'll gain: Data-Driven Decision-Making, Microsoft Excel, Data Storytelling, Data Visualization, Excel Formulas, Data Analysis, Statistical Reporting, Data Presentation, Customer Analysis, Spreadsheet Software, Case Studies, Descriptive Analytics, Research Reports, Statistical Analysis, Performance Analysis, Descriptive Statistics, Google Sheets

    Beginner · Course · 1 - 4 Weeks

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

    Edureka

    Explainable AI (XAI)

    Skills you'll gain: Incident Management, Governance, Incident Response, Data Governance, Compliance Management, Policy Development, Risk Management, Governance Risk Management and Compliance, Risk Management Framework, Supplier Risk Management, Artificial Intelligence, Model Training, Statistical Methods, Analysis, Data Science, Model Optimization, Applied Machine Learning, Predictive Analytics, Machine Learning Methods, Python Programming

    Beginner · Specialization · 1 - 3 Months

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

  • Google Cloud Digital Leader Training: Google Cloud
  • Graph Search, Shortest Paths, and Data Structures: Stanford University
  • Mathematics for Engineering: Birla Institute of Technology & Science, Pilani
  • Software Development Lifecycle: University of Minnesota
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Robotic Methodologies: Università di Napoli Federico II
  • AI-Powered Decision Intelligence: Data to Strategic Insights: Coursera
  • Introduction to Machine Learning: Duke University
  • Six Sigma Advanced Define and Measure Phases: Kennesaw State University
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM

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