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  • Python Libraries

Results for "python libraries"


  • C

    Coursera

    Conducting Exploratory Data Analysis

    Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming

    ★ 4.3 (6) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • A

    Accenture

    Understanding Technology and Data

    Skills you'll gain: Data Literacy, Computer Literacy, Microsoft Excel, Data Security, digital literacy, Telecommuting, Data Analysis, Data-Driven Decision-Making, Excel Formulas, Programming Principles, Spreadsheet Software, Web Language, Emerging Technologies, Data Collection, Computer Security Awareness Training, Digital Communications, Scripting Languages, Web Development, Javascript, Python Programming

    ★ 4.6 (33) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • K

    KodeKloud

    DevOps Prerequisite Course

    Skills you'll gain: Package and Software Management, Linux Administration, Linux, Application Development, Linux Commands, Devops Tools, Linux Servers, Operating System Administration, General Networking, Web Applications, Network Switches, Java, DevOps, Computer Programming, Cloud Engineering, Java Programming, Node.JS, Software Installation

    ★ 4.7 (114) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    NumPy and Pandas Basics for Future Data Scientists

    Skills you'll gain: Debugging, Data Wrangling, Data Analysis, Data Transformation, Data Preprocessing, Numerical Analysis, Critical Thinking

    ★ 4.2 (13) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Quantitative Finance & Risk Modeling

    Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Reconciliation, Financial Analysis, A/B Testing, Portfolio Risk, Model Evaluation, Data Cleansing, Classification And Regression Tree (CART), Regression Analysis, Exploratory Data Analysis, Predictive Modeling, Data Analysis, Risk Analysis, Risk Management, R Programming, Statistical Analysis, Machine Learning

    ★ 4.2 (6) · Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Analysis, Applied Machine Learning, Regression Analysis, Model Training, Unsupervised Learning, Mathematics and Mathematical Modeling, Statistical Methods, Linear Algebra

    ★ 4.4 (93) · Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • E

    Edureka

    Mastering Claude AI: Prompting, APIs, RAG, and MCP

    Skills you'll gain: Retrieval-Augmented Generation, Model Context Protocol, Agentic Workflows, Prompt Engineering, Anthropic Claude, Application Programming Interface (API), Prompt Patterns, Prompt Engineering Tools, LLM Application, JSON, AI Integrations, Generative AI Agents, AI literacy, Tool Calling, Generative AI, Scripting, Token Optimization, Document Management, Context Engineering, Agentic systems

    ★ 2.6 (8) · Intermediate · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Foundations of Data Structures and Algorithm Analysis

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Computational Thinking, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming

    ★ 4.4 (31) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Quantum Computing with Qiskit and Advanced Algorithms

    Skills you'll gain: Quantum computing, Algorithms, Computer Hardware, IBM Cloud, Cryptography, Python Programming, Computer Programming, Software Documentation, Simulations

    ★ 4.5 (26) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    Edureka

    Introduction to PySpark

    Skills you'll gain: PySpark, Apache Spark, Data Management, Distributed Computing, Apache Hadoop, Data Processing, Data Manipulation, Data Analysis, Exploratory Data Analysis, Python Programming

    ★ 3.7 (50) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • G

    Google

    Functions and Conditional Statements

    Skills you'll gain: Code Reusability, Computational Logic, Scripting Languages, Functional Design, Computer Programming

    ★ 4.9 (26) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud Development, Cloud API, Cloud Deployment, Artificial Intelligence, Machine Learning, Microsoft Azure, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    ★ 4.5 (91) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…9899100…169

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

  • Conducting Exploratory Data Analysis: Coursera
  • Understanding Technology and Data: Accenture
  • DevOps Prerequisite Course: KodeKloud
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • Quantitative Finance & Risk Modeling: Coursera
  • Machine Learning Basics: Sungkyunkwan University
  • Mastering Claude AI: Prompting, APIs, RAG, and MCP: Edureka
  • Foundations of Data Structures and Algorithm Analysis: Packt
  • Quantum Computing with Qiskit and Advanced Algorithms: Packt
  • Introduction to PySpark: Edureka

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