Probability & Statistics

Probability and Statistics is a branch of mathematics dealing with the analysis of random phenomena. Coursera's Probability & Statistics skill catalogue teaches you to understand, analyze, and interpret data, patterns, and statistical relationships. You'll learn key concepts such as mean, median, mode, variance, standard deviation, correlation, regression, probability distributions, and hypothesis testing. You will also explore more complex concepts like Bayesian inference, predictive modeling, and machine learning. These skills are crucial for a broad range of fields including data science, economics, engineering, and social sciences.
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Results for "probability & statistics"

  • Status: New
    Status: Preview

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

  • Status: Preview

    University of Minnesota

    Skills you'll gain: Medical Devices, Stakeholder Analysis, Program Evaluation, Regulatory Affairs, Healthcare Industry Knowledge, Cost Benefit Analysis, Health Care Procedure and Regulation, Health Informatics, Health Technology, Health Policy, Regulatory Requirements, Clinical Trials, Financial Analysis, Probability & Statistics

  • Status: New
    Status: Preview

    Skills you'll gain: A/B Testing, Statistical Hypothesis Testing, Statistical Methods, Advanced Analytics, Statistical Analysis, Correlation Analysis, Business Reporting, Data Analysis, Report Writing, Probability & Statistics, Analytical Skills, Quantitative Research, Data-Driven Decision-Making, Health Informatics, Business Process Automation

  • Skills you'll gain: Supervised Learning, Unsupervised Learning, Dimensionality Reduction, Anomaly Detection, Artificial Intelligence, Machine Learning, Responsible AI, Regression Analysis, Data Ethics, Probability & Statistics, Image Analysis, Computer Vision, Embedded Systems, Natural Language Processing, Linear Algebra, Machine Learning Algorithms, Statistical Methods, Predictive Modeling, Bayesian Statistics, Scikit Learn (Machine Learning Library)

  • Universidad de los Andes

    Skills you'll gain: Real-Time Operating Systems, Supervised Learning, Semantic Web, LangChain, Unsupervised Learning, Reinforcement Learning, Cloud-Native Computing, Continuous Deployment, Natural Language Processing, Cost Estimation, Computer Vision, Artificial Intelligence, Biomedical Engineering, Deep Learning, Machine Learning, Responsible AI, Game Theory, CI/CD, Probability & Statistics, Prompt Engineering

  • University of North Texas

    Skills you'll gain: Operations Management, Mediation, Compensation and Benefits, Organizational Change, Event Management, Grammar, Sales Process, Data Mining, Data Visualization, Marketing Planning, Design Thinking, Global Marketing, Probability & Statistics, Social Studies, Cultural Diversity, Digital Media Strategy, Organizational Leadership, Political Sciences, Music History, Sociology

  • Skills you'll gain: Relational Databases, User Research, Probability & Statistics, Data Storytelling, Bash (Scripting Language), Graph Theory, Theoretical Computer Science, Object Oriented Design, Operating Systems, Android Development, Database Design, Encryption, Bioinformatics, Feature Engineering, Algorithms, TCP/IP, Version Control, Java Programming, Data Structures, Model View Controller

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