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  • Python Data Structures

Results for "python data structures"


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    T

    The University of Edinburgh

    Understanding Obesity

    Skills you'll gain: Scientific Methods, Research, Nutrition and Diet, Behavioral Health, Physiology, Psychology, Stress Management, Peer Review, Health Policy, Discussion Facilitation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    889 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Auto Machine Learning (AutoML) Using AutoGluon

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Classification Algorithms, Model Evaluation, Machine Learning, Python Programming, Prototyping

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
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    S

    Starweaver

    Matlab and Simulink Basics

    Skills you'll gain: Matlab, Data Visualization, Simulation and Simulation Software, Mathematical Modeling, Data Analysis, Engineering Analysis, Data Integration, Programming Principles, Data Manipulation, Data Structures, Computer Programming, Debugging

    4.1
    Rating, 4.1 out of 5 stars
    ·
    55 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Developing and Deploying a Complete Django Web Application

    Skills you'll gain: Ajax, jQuery, JSON, Django (Web Framework), Web Applications, Javascript, Debugging, Database Design, Data Modeling, User Accounts, Object Oriented Programming (OOP), Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    292 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Maryland, College Park

    Usable Security

    Skills you'll gain: Usability, Human Computer Interaction, Authentications, Security Engineering, Usability Testing, Interaction Design, Human Factors, Information Privacy, Cybersecurity, Personally Identifiable Information, User Interface (UI) Design, Multi-Factor Authentication, User Centered Design, Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, ChatGPT, OpenAI, Multimodal Prompts, Large Language Modeling, OpenAI API, Hugging Face, Responsible AI, GitHub, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    203 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Embedded Software Development with C

    Skills you'll gain: Embedded Software, C (Programming Language), Embedded Systems, Debugging, Peripheral Devices, Integrated Development Environments, Computer Programming Tools, Development Environment, System Programming, Electronics, Software Development Tools, Hardware Architecture, Data Structures, Electronic Hardware, Microarchitecture, Programming Principles, Performance Tuning, Computer Architecture, Control Systems, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    263 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.4
    Rating, 4.4 out of 5 stars
    ·
    23 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    I

    IBM

    데이터 과학이란 무엇인가?

    Skills you'll gain: Data Storytelling, Data Mining, Data Science, Data-Driven Decision-Making, Digital Transformation, Big Data, Data Analysis, Business Analytics, Regression Analysis, Analytics, Apache Hadoop, Health Informatics, Deep Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Tools for Define and Measure

    Skills you'll gain: Data Collection, Lean Six Sigma, Six Sigma Methodology, Quality Improvement, Process Improvement, Business Process, Project Management, Process Capability, Project Planning, Customer experience improvement, Data Validation, Descriptive Statistics, Statistics, Statistical Analysis, Stakeholder Analysis, Business Metrics

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    FinTech Law and Policy

    Skills you'll gain: FinTech, Financial Regulation, Financial Services, Payment Systems, Bank Regulations, Lending and Underwriting, Banking Services, Blockchain, Law, Regulation, and Compliance, Financial Data, Digital Assets

    4.8
    Rating, 4.8 out of 5 stars
    ·
    892 reviews

    Beginner · Course · 1 - 3 Months

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

  • Understanding Obesity: The University of Edinburgh
  • Auto Machine Learning (AutoML) Using AutoGluon : Coursera
  • Matlab and Simulink Basics : Starweaver
  • Machine Learning with PySpark: Recommender System: Coursera
  • Developing and Deploying a Complete Django Web Application: University of Michigan
  • Usable Security: University of Maryland, College Park
  • Introduction to Generative AI: Duke University
  • Embedded Software Development with C: EDUCBA
  • Interpretable machine learning applications: Part 3: Coursera
  • 데이터 과학이란 무엇인가?: IBM

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