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  • Performing Basic Statistical Analysis In Python

Results for "performing basic statistical analysis in python"


  • J

    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

    Intermediate · Course · 1 - 3 Months

  • A

    Anthropic

    Claude Code in Action

    Skills you'll gain: Claude Code, Command-Line Interface, Tool Calling, LLM Application, Software Development Tools, GitHub, Context Management, Code Review, Computer Programming Tools, Software Development, Generative AI Agents, Automation, Software Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    40 reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Generative AI Foundations in Python

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Responsible AI, Model Deployment, Large Language Modeling, Generative Adversarial Networks (GANs), Natural Language Processing, Embeddings, Transfer Learning, Artificial Intelligence, Python Programming, Machine Learning, Deep Learning

    Intermediate · Course · 1 - 3 Months

  • A

    Arizona State University

    Bayesian Statistical Concepts and Methods

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Biostatistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Logistic Regression, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Inference, Probability Distribution, Public Health, Scientific Methods, Statistics, Statistical Modeling, Advanced Analytics, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    20 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of California, Davis

    Basic English Skills: Travel

    Skills you'll gain: Oral Comprehension, English Language, Vocabulary, Grammar, Literacy, Verbal Communication Skills, Active Listening, Language Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    37 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Top AI Program
    Top AI Program
    S

    Stanford University

    AI in Healthcare

    Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Clinical Research Ethics, Unstructured Data, Health Care, Model Deployment, Health Informatics, Data Mining, Managed Care, Model Evaluation, Responsible AI, Applied Machine Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Track Basic Metrics

    Beginner · Course · 1 - 4 Weeks

  • C

    Carnegie Mellon University

    Statistical Thermodynamics: Molecules to Machines

    Skills you'll gain: Mechanical Engineering, Chemical Engineering, Engineering, Materials science, Chemistry, Physics, Molecular, Cellular, and Microbiology, Mathematical Modeling, Physical Science, Biology

    3.9
    Rating, 3.9 out of 5 stars
    ·
    52 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Corporate Finance Institute

    Fundamentals of Data Analysis in Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Dashboard, Data Transformation, Data Analysis, Excel Formulas, Data Visualization Software, Data Presentation, Data Manipulation, Business Intelligence, Data Cleansing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    88 reviews

    Beginner · Course · 1 - 3 Months

  • A

    Amazon Web Services

    Developing Applications in Python on AWS

    Skills you'll gain: Software Architecture, Amazon DynamoDB, Database Management, Cloud Applications, Amazon Web Services, Event-Driven Programming, API Gateway, Relational Databases, Cloud Development, Serverless Computing, Python Programming, Cloud API, Service Oriented Architecture, Microservices, NoSQL, Application Development, Web Development, Automation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    105 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular performing basic statistical analysis in python courses

  • Advanced Probability and Statistical Methods: Johns Hopkins University
  • Claude Code in Action: Anthropic
  • Generative AI Foundations in Python: Packt
  • Bayesian Statistical Concepts and Methods: Arizona State University
  • Biostatistics in Public Health: Johns Hopkins University
  • Statistical Learning for Data Science: University of Colorado Boulder
  • Basic English Skills: Travel : University of California, Davis
  • AI in Healthcare: Stanford University
  • Track Basic Metrics: Coursera
  • Statistical Thermodynamics: Molecules to Machines: Carnegie Mellon University

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