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    Results for "practical python implementation"

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Statistical Modeling, Data Structures, R Programming, Computational Thinking, Jupyter, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Reinforcement Learning, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, R (Software), Cloud Computing, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      100K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Cloud Application Development Foundations

      Skills you'll gain: Node.JS, Cloud Computing Architecture, Server Side, React Redux, Cloud-Native Computing, Cloud Services, NoSQL, MongoDB, Agile Methodology, React.js, Cloud Security, Hypertext Markup Language (HTML), HTML and CSS, Cloud Infrastructure, Restful API, Web Development, Cloud Applications, JavaScript Frameworks, DevOps, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Theoretical Computer Science, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Building GenAI Applications and Agents

      Skills you'll gain: LangChain, Prompt Engineering, Large Language Modeling, Generative AI Agents, LLM Application, Tool Calling, ChatGPT, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Agentic systems, Application Programming Interface (API), OpenAI, Google Gemini, Automation, Generative AI, Application Development, Development Environment, Prompt Engineering Tools, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      71 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, LangChain, Large Language Modeling, Prompt Patterns, Predictive Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Keras (Neural Network Library), Flask (Web Framework), Supervised Learning, Exploratory Data Analysis, Data Wrangling, Unit Testing, Responsible AI, Deep Learning, Data Analysis, Jupyter, Regression Analysis, LLM Application

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

      Pearson

      Generative AI for Developers: Unit 2

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Algorithmic Problem Solving

      Skills you'll gain: Python Programming

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Software Engineering

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Scrum (Software Development), Software Engineering, Software Design Patterns, Agile Methodology, Software Development, Unified Modeling Language, Full-Stack Web Development, Programming Principles, Back-End Web Development, Front-End Web Development, Computer Programming, Integrated Development Environments, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Linux Commands, Agile Software Development, Kubernetes, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Git (Version Control System), Flask (Web Framework), DevOps, Jupyter, Grafana, Software Engineering, Application Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      62K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    1…484950…409

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

    • Genomic Data Science: Johns Hopkins University
    • Generative AI with Large Language Models: DeepLearning.AI
    • Introduction to Data Science: IBM
    • Cloud Application Development Foundations: IBM
    • Fundamentals of Computing: Rice University
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • Building GenAI Applications and Agents: Coursera Instructor Network
    • IBM Generative AI Engineering: IBM
    • Generative AI for Developers: Unit 2: Pearson
    • Algorithmic Problem Solving: Packt

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