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  • Introduction To Data Science In Python

Results for "introduction to data science in python"


  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Health Information Literacy for Data Analytics

    Skills you'll gain: Data Governance, Data Quality, Data Integration, Data Dictionary, Data Validation, Health Informatics, Data Modeling, Extract, Transform, Load, Data Synthesis, Health Systems, Fraud detection, Data Management, Metadata Management, Health Care, Analytics, Clinical Data Management, Healthcare Industry Knowledge, Data Analysis, Health Information Management, Data Literacy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    291 reviews

    Intermediate · Specialization · 3 - 6 Months

  • D

    Duke University

    Introduction to FastAPI framework

    Skills you'll gain: Web Frameworks, Restful API, Application Programming Interface (API), Application Deployment, Software Documentation, Package and Software Management, JSON, Application Development, Server Side, Test Tools, Python Programming, Data Validation

    2.7
    Rating, 2.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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

  • Status: Free Trial
    Free Trial
    M

    Meta

    Data Analysis with Spreadsheets and SQL

    Skills you'll gain: Data Visualization, Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Pivot Tables And Charts, Dashboard, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Marketing Analytics, Exploratory Data Analysis, Data Manipulation, Statistical Analysis, SQL

    4.6
    Rating, 4.6 out of 5 stars
    ·
    274 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Power BI for Data Science and Analytics

    Skills you'll gain: Analytics, Anomaly Detection, Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Amazon

    Introduction to Software Development

    Skills you'll gain: Software Development Life Cycle, Object Oriented Programming (OOP), Java Programming, Java, Program Development, Software Development, Development Environment, Integrated Development Environments, Computer Programming, Software Engineering, Programming Principles

    4.4
    Rating, 4.4 out of 5 stars
    ·
    338 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    Y

    Yale University

    Introduction to Medical Software

    Skills you'll gain: Clinical Trials, Software Development Life Cycle, Medical Devices, Usability, Software Development, Medical Privacy, Human Computer Interaction, Regulatory Affairs, Verification And Validation, Regulatory Requirements, Quality Management Systems, Biomedical Engineering, Risk Management, Software Design, Health Technology, Software Testing, Entrepreneurship, Artificial Intelligence and Machine Learning (AI/ML), User Research, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    280 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    G

    Genentech

    Making Data Science Work for Clinical Reporting

    Skills you'll gain: Clinical Data Management, Clinical Research, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, GitHub, Data Quality, Quality Assurance, Risk Management, Maintainability, DevOps, R Programming, Package and Software Management, Agile Software Development, Agile Methodology

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Tensorflow, Machine Learning, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    NLP – Embeddings & Text Preprocessing in Python

    Skills you'll gain: Text Mining, Data Processing, Applied Machine Learning, Pandas (Python Package), Data Transformation, NumPy, Unstructured Data, Deep Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Development Environment, Machine Learning

    Intermediate · Course · 1 - 3 Months

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

    Packt

    Python 3 from Beginner to Expert - Learn Python from Scratch

    Skills you'll gain: Object Oriented Programming (OOP), Debugging, JSON, Program Development, Data Structures, Python Programming, Microsoft Visual Studio, Development Environment, Software Design Patterns, Scripting, Maintainability, Integrated Development Environments, Package and Software Management, Programming Principles, Computer Programming, Web Scraping, Application Programming Interface (API), File Management, Scalability, Scripting Languages

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Infosec

    Introduction to Cybersecurity Foundations

    Skills you'll gain: Cybersecurity, Cloud Computing, Network Monitoring, Command-Line Interface, Cloud Services, General Networking, Linux, Windows PowerShell, Virtual Machines

    4.7
    Rating, 4.7 out of 5 stars
    ·
    511 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to introduction to data science in python

introduction to data science and scikit-learn in python
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In summary, here are 10 of our most popular introduction to data science in python courses

  • Health Information Literacy for Data Analytics: University of California, Davis
  • Introduction to FastAPI framework: Duke University
  • Seaborn Python: Visualize & Analyze Data Distributions: EDUCBA
  • Data Analysis with Spreadsheets and SQL: Meta
  • Power BI for Data Science and Analytics: Edureka
  • Introduction to Software Development: Amazon
  • Introduction to Medical Software: Yale University
  • Making Data Science Work for Clinical Reporting: Genentech
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • NLP – Embeddings & Text Preprocessing in Python: Packt

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