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  • Statistics And Python For Data Science

Results for "statistics and python for data science"


  • Status: Free Trial
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    C

    Coursera

    GenAI for Everyone

    Skills you'll gain: Generative AI, AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Creative Problem-Solving, HR Tech, Marketing, Information Privacy, Critical Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    141 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Berklee

    Music for Wellness

    Skills you'll gain: Music, Active Listening, Musical Composition, Instrumental Music, Mindfulness, Self-Awareness, Stress Management, World Music, Mental Health, Mental Concentration, Emotional Intelligence, Resilience, Respiration

    4.5
    Rating, 4.5 out of 5 stars
    ·
    334 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    Free Trial
    E

    EDUCBA

    Seaborn Python: Visualize & Analyze Data Distributions

    Skills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Analysis in Python: Using Pandas DataFrames

    Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Data Visualization, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Data Visualization Software, Data Preprocessing, Exploratory Data Analysis, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    29 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Summary Statistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Visualization, Epidemiology, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Public Health, Sample Size Determination

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    Python for Serverless Applications and Automation on AWS

    Skills you'll gain: Software Architecture, Amazon Web Services, Amazon DynamoDB, Python Programming, Service Oriented Architecture, Cloud Computing Architecture, Microservices, Serverless Computing, Cloud Applications, Application Programming Interface (API), Databases, Scripting, Programming Principles, Automation, Relational Databases, Application Development, Development Environment

    4.4
    Rating, 4.4 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Shiny for Python Ultimate - Web Development with Python

    Skills you'll gain: Shiny (R Package), User Interface (UI), Data Visualization Software, Interactive Data Visualization, Application Deployment, Web Applications, Front-End Web Development, Data Analysis, Back-End Web Development, Spatial Data Analysis, Web Development, Full-Stack Web Development, Python Programming, Application Development, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    Infosec

    Introduction to Python for Cybersecurity

    Skills you'll gain: MITRE ATT&CK Framework, Cybersecurity, Cyber Threat Intelligence, Cyber Operations, IT Automation, Scripting, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    428 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Edinburgh

    Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences

    Skills you'll gain: Artificial Intelligence, Psychology, Human Learning, Anthropology, Human Factors, Science and Research, Robotics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, AI Workflows, No-Code Development, Machine Learning Software, Model Deployment, Natural Language Processing, Machine Learning, Artificial Intelligence, Self Service Technologies, Application Deployment, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Robotics, Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular statistics and python for data science courses

  • GenAI for Everyone: Coursera
  • Music for Wellness: Berklee
  • Seaborn Python: Visualize & Analyze Data Distributions: EDUCBA
  • Data Analysis in Python: Using Pandas DataFrames: Coursera
  • Summary Statistics in Public Health : Johns Hopkins University
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • Python for Serverless Applications and Automation on AWS: Amazon Web Services
  • Shiny for Python Ultimate - Web Development with Python: Packt
  • Introduction to Python for Cybersecurity : Infosec
  • Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences: The University of Edinburgh

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