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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


  • L

    Logical Operations

    Introduction to Agile and Scrum Methodologies

    Skills you'll gain: Agile Methodology, Scrum (Software Development), Agile Project Management, Sprint Retrospectives, Agile Software Development, Sprint Planning, User Story, Backlogs, Agile Product Development, Project Estimation, Project Management, Estimation, Project Planning

    Mixed · Course · 1 - 3 Months

  • E

    EDUCBA

    Analyze Predictor Impact Using Regression in Minitab

    Skills you'll gain: Data Analysis, Predictive Analytics, Case Studies, Statistical Visualization, Statistical Modeling

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Rochester

    Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics

    Skills you'll gain: Basic Electrical Systems, Music, Electrical Engineering, Electronics, Electronic Components, Electronics Engineering, Electronic Systems, Electrical Systems, Instrumental Music, Vibrations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    594 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Deconstruct AI: Complex ML Problems

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    347 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Evaluate and Create ML Workflows Visually

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    The Nuts and Bolts of Machine Learning

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    610 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Optimize Content with SEO and Analytics

    Skills you'll gain: Content Performance Analysis, Content Creation, Web Content, Search Engine Optimization, Performance Analysis, Digital Publishing, Driving engagement, Content Management Systems, Web Analytics, Keyword Research, Performance Measurement, Performance Improvement, Copywriting, Process Optimization, Web Content Accessibility Guidelines, Data-Driven Decision-Making

    Beginner · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Scrum Master Certification

    Skills you'll gain: User Story, Behavior-Driven Development, DevSecOps, Agile Project Management, Test Driven Development (TDD), Backlogs, Sprint Planning, Kanban Principles, Agile Methodology, Scrum (Software Development), Continuous Integration, Agile Software Development, Project Risk Management, Sprint Retrospectives, Lean Methodologies, Scaled Agile Framework, DevOps, Risk Management, Agile Product Development, Management Reporting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Design and Build a Student Score Card System with SQL Server

    Skills you'll gain: Database Design, Relational Databases, Database Application, Microsoft SQL Servers, Data Integrity, Databases, Database Management, Data Modeling, Visual Basic (Programming Language), Application Development, User Interface (UI)

    Beginner · Course · 1 - 4 Weeks

  • A

    Alex Genadinik

    Logic In Philosophy: Logical Fallacies And Common Mistakes

    Skills you'll gain: Deductive Reasoning, Logical Reasoning, Case Studies, Ethical Standards And Conduct, Psychology

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction to Agile and Scrum Methodologies: Logical Operations
  • Analyze Predictor Impact Using Regression in Minitab: EDUCBA
  • Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics: University of Rochester
  • Deconstruct AI: Complex ML Problems: Coursera
  • Microsoft AI & ML Engineering: Microsoft
  • Evaluate and Create ML Workflows Visually: Coursera
  • The Nuts and Bolts of Machine Learning: Google
  • Optimize Content with SEO and Analytics: Coursera
  • Scrum Master Certification: LearnQuest
  • Design and Build a Student Score Card System with SQL Server: EDUCBA

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