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Results for "python libraries"

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Fundamentals for Designers

    Skills you'll gain: Interactive Data Visualization, Interactive Design, Programming Principles, Visualization (Computer Graphics), Python Programming, Graphic and Visual Design, Computer Graphics, Computational Logic, Computer Programming, Data Import/Export, Computational Thinking, Data Structures, Animations

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Practical Deep Learning with Python

    Skills you'll gain: Artificial Intelligence, Python Programming, Machine Learning Methods

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    E

    EDUCBA

    Python Basics: Learn, Apply & Build Programs

    Skills you'll gain: Software Installation, Programming Principles, Data Validation, Scripting Languages, Python Programming, Program Development, Scripting, Computational Thinking, Development Environment, Data Processing, Computer Programming, Algorithms, Debugging

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Data Visualization Fundamentals in Python

    Skills you'll gain: Data Storytelling, Data Presentation, Plot (Graphics), Data Visualization, Matplotlib, Interactive Data Visualization, Data Visualization Software, Seaborn, Data Analysis, Graphic and Visual Design, Python Programming, Jupyter, Pandas (Python Package), Data Manipulation, NumPy

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    E

    EDUCBA

    Advanced Python: OOP, File Handling & Libraries

    Skills you'll gain: Object Oriented Programming (OOP), Application Development, Software Development, Automation, Data Processing, Data Structures, Programming Principles, Maintainability, File Management, Python Programming, Debugging, JSON

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with Python

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Python Data Analytics

    Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Matplotlib, Data Visualization, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting, Scripting Languages

    4.3
    Rating, 4.3 out of 5 stars
    ·
    232 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Credit Default Prediction with Python: Apply & Analyze

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    926 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Correlation Analysis, Probability Distribution, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
    ·
    710 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Python and Statistics Foundations

    Skills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming

    Beginner · Course · 1 - 4 Weeks

1…91011…127

In summary, here are 10 of our most popular python libraries courses

  • Python Fundamentals for Designers: University of Michigan
  • Practical Deep Learning with Python: Edureka
  • Python Basics: Learn, Apply & Build Programs: EDUCBA
  • Data Visualization Fundamentals in Python: University of Pittsburgh
  • Advanced Python: OOP, File Handling & Libraries: EDUCBA
  • Data Analysis with Python: IBM
  • Python Data Analytics: Meta
  • Credit Default Prediction with Python: Apply & Analyze: EDUCBA
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Inferential Statistical Analysis with Python: University of Michigan

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