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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
    C

    Coursera

    Understanding Large Language Models in Business

    Skills you'll gain: Large Language Modeling, LLM Application, OpenAI API, Trend Analysis, Real Time Data, Analytics, Business Marketing, Program Development, Business Strategy, Generative AI, ChatGPT, Technology Roadmaps, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Explore and Create Reports with Data Studio

    Skills you'll gain: Exploratory Data Analysis, Data Visualization Software, Dashboard, Interactive Data Visualization, Data Analysis, Google Analytics, Data Integration

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    Università di Napoli Federico II

    Contemporary Issues in World Politics

    Skills you'll gain: Political Sciences, International Relations, World History, Diplomacy, Social Sciences, Public Safety and National Security, European History, Environmental Issue, Conflict Management, Climate Change Programs, Governance, Economics, Economic Development, Trend Analysis, Security Strategy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    M

    Microsoft

    Develop Clustering Models with Azure ML Designer

    Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Analytics, Model Deployment, Data Transformation, Model Evaluation, Exploratory Data Analysis, Data Processing, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts

    4.9
    Rating, 4.9 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Healthcare Quality Improvement and Decision-Making

    Skills you'll gain: Health Care Administration, Patient Safety, Healthcare Project Management, Leadership, Continuous Quality Improvement (CQI), Safety Standards, Health Informatics, Decision Making, Teamwork, Reliability, Risk Management, Problem Solving

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Parallel Computing with MPI

    Skills you'll gain: File I/O, C and C++, Load Balancing, Communication Systems

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    TensorFlow for Beginners: Basic Binary Image Classification

    Skills you'll gain: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    B

    Birla Institute of Technology & Science, Pilani

    Science, Technology & Modernity

    Skills you'll gain: World History, Critical Thinking, Ancient History, Research, Science and Research, Culture, Social Sciences, Cultural Responsiveness, Scientific Methods, Applied Mathematics, European History, Analysis, Physical Science, Industrial Engineering, Research Methodologies, Innovation, Intellectual Property

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Methodology and Ethics in AI

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Model Deployment, Debugging, Artificial Intelligence, Machine Learning, Ethical Standards And Conduct, Model Evaluation, Applied Machine Learning, Social Impact, Unstructured Data, Data-Driven Decision-Making, Information Privacy, Case Studies

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Data Visualization

    Skills you'll gain: Data Presentation, Graphic and Visual Design, Data Storytelling, Design Elements And Principles, Plot (Graphics), Data Literacy, Exploratory Data Analysis, Scatter Plots

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    H

    H2O.ai

    H2O Label Genie Starter Track

    Skills you'll gain: Data Preprocessing, Large Language Modeling, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Quality, Data Analysis, Natural Language Processing, Classification Algorithms

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Understanding Large Language Models in Business: Coursera
  • Explore and Create Reports with Data Studio: Google Cloud
  • Contemporary Issues in World Politics: Università di Napoli Federico II
  • Develop Clustering Models with Azure ML Designer: Microsoft
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Healthcare Quality Improvement and Decision-Making: University of Michigan
  • Parallel Computing with MPI: University of Colorado Boulder
  • TensorFlow for Beginners: Basic Binary Image Classification: Coursera
  • Science, Technology & Modernity: Birla Institute of Technology & Science, Pilani
  • Practical Methodology and Ethics in AI: Johns Hopkins University

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