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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
    M

    Microsoft

    Project Management Principles

    Skills you'll gain: Team Performance Management, Stakeholder Engagement, Systems Thinking, Stakeholder Management, Project Management Institute (PMI) Methodology, Team Building, Project Risk Management, Project Management, Risk Management, Leadership, Governance, Change Management, Problem Solving

    5
    Rating, 5 out of 5 stars
    ·
    45 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    Kennesaw State University

    Ethical AI Use

    Skills you'll gain: Prompt Engineering, Responsible AI, Data Ethics, Case Studies, AI Enablement, Generative AI, Ethical Standards And Conduct, Artificial Intelligence, Business Ethics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Introduction to Generative AI in Legal

    Skills you'll gain: Legal Technology, Data Ethics, Responsible AI, Legal Strategy, Legal Research, Generative AI, Legal Risk, Case Law, Law, Regulation, and Compliance, Artificial Intelligence, Legal Writing, Data-Driven Decision-Making, Forecasting, Automation, Client Services

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Securing AI and Advanced Topics

    Skills you'll gain: Generative Adversarial Networks (GANs), AI Security, Generative AI, Fraud detection, Model Evaluation, Feature Engineering, Cybersecurity, Cyber Security Strategy, Data Preprocessing, Anomaly Detection, Security Testing, Applied Machine Learning, Reinforcement Learning, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Designing data-intensive applications

    Skills you'll gain: Data Mining, Database Design, Scalability, Database Systems, Relational Databases, Unstructured Data, Transaction Processing, Databases, Systems Design, Big Data, Data Architecture, NoSQL, Data Processing, Maintainability, Software Design, SQL, Apache Hadoop

    4.3
    Rating, 4.3 out of 5 stars
    ·
    39 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Villes africaines: Mobilités et transports urbains

    Skills you'll gain: Transportation Operations, Demography, Public Policies, Social Sciences, Policy Analysis, Economics, Policy, and Social Studies, Spatial Analysis, Socioeconomics, Sustainable Development, Sociology

    4.4
    Rating, 4.4 out of 5 stars
    ·
    25 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Inteligencia artificial: proyecto final

    Skills you'll gain: Program Development, Artificial Intelligence, Software Development, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Technical Writing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Introduction to NLP and Syntactic Processing

    Skills you'll gain: Natural Language Processing, Text Mining, Data Manipulation, Unstructured Data, Markov Model, Data Preprocessing, Python Programming, Applied Machine Learning, Feature Engineering, Algorithms, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Data Analytics Foundations for Accountancy II

    Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Classification Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Decision Tree Learning, Data Mining, Exploratory Data Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Python: A Guided Journey from Introduction to Application

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Matplotlib, File I/O, Generative Adversarial Networks (GANs), NumPy, Object Oriented Programming (OOP), Deep Learning, Image Analysis, Plot (Graphics), Machine Learning Algorithms, Object Oriented Design, Applied Machine Learning, Integrated Development Environments, Pandas (Python Package), Python Programming, Machine Learning, Event-Driven Programming, Programming Principles, Computer Programming

    4
    Rating, 4 out of 5 stars
    ·
    76 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Project Management Principles: Microsoft
  • Interpretable machine learning applications: Part 3: Coursera
  • Introduction to Machine Learning with Python: Arizona State University
  • Ethical AI Use: Kennesaw State University
  • Introduction to Generative AI in Legal: Coursera
  • Securing AI and Advanced Topics: Johns Hopkins University
  • Designing data-intensive applications: Universidad Nacional Autónoma de México
  • Villes africaines: Mobilités et transports urbains: École Polytechnique Fédérale de Lausanne
  • Inteligencia artificial: proyecto final: Universidad Nacional Autónoma de México
  • Introduction to NLP and Syntactic Processing: Packt

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