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  • Programming Interview

Results for "programming interview"


  • Status: Free Trial
    Free Trial
    S

    Scrimba

    API Basics 1: Build a Bot (Fetch, JSON & Async JavaScript)

    Skills you'll gain: JSON, Application Programming Interface (API), Restful API, Web Services, Javascript, Web Applications, Hypertext Markup Language (HTML), Servers, Cascading Style Sheets (CSS)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Designing Larger Python Programs for Data Science

    Skills you'll gain: Python Programming, Simulations, Debugging, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Software Design, Computational Thinking, Integration Testing, Computer Programming, Object Oriented Programming (OOP), Data Manipulation, Software Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Infosec

    Introduction to C++

    Skills you'll gain: Secure Coding, Computer Programming Tools, C and C++, C++ (Programming Language), Software Development Tools, C (Programming Language), Debugging

    2.9
    Rating, 2.9 out of 5 stars
    ·
    21 reviews

    Mixed · Course · 1 - 4 Weeks

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

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, Model Evaluation, NumPy, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Probability & Statistics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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

  • D

    Duke University

    Introduction to GitHub Actions

    Skills you'll gain: CI/CD, Automation, GitHub, YAML, DevOps, Event-Driven Programming, Git (Version Control System), Software Testing

    3.2
    Rating, 3.2 out of 5 stars
    ·
    23 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Developing Applications with Cloud Run Functions on Google Cloud

    Skills you'll gain: Cloud Applications, Serverless Computing, Cloud Development, Google Cloud Platform, Cloud API, Cloud Deployment, Cloud Security, Application Deployment, Identity and Access Management, Operational Databases, Event-Driven Programming, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Geographical Information Systems - Part 1

    Skills you'll gain: Geographic Information Systems, GIS Software, Spatial Data Analysis, NoSQL, Data Modeling, Database Design, Databases, Data Storage Technologies, SQL, Data Storage, Data Capture, Query Languages, Relational Databases

    3.5
    Rating, 3.5 out of 5 stars
    ·
    99 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Clemson University

    Design and Analysis of Algorithms

    Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Theoretical Computer Science, Computer Programming, Computer Science, Probability, Design Strategies, Analysis, Performance Testing, Scalability

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Building Statistical Models in R: Linear Regression

    Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    BiteSize Python for Intermediate Learners

    Skills you'll gain: Matplotlib, Object Oriented Programming (OOP), Plotly, Seaborn, Data Visualization Software, Object Oriented Design, Data Visualization, Pandas (Python Package), NumPy, Statistical Visualization, Interactive Data Visualization, Software Documentation, Scatter Plots, Box Plots, Heat Maps, Data Structures, Maintainability, Programming Principles, Data Import/Export, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

1…164165166…392

In summary, here are 10 of our most popular programming interview courses

  • API Basics 1: Build a Bot (Fetch, JSON & Async JavaScript): Scrimba
  • Designing Larger Python Programs for Data Science: Duke University
  • Introduction to C++: Infosec
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Python and Statistics Foundations: Edureka
  • Introduction to GitHub Actions: Duke University
  • Developing Applications with Cloud Run Functions on Google Cloud: Google Cloud
  • Machine Learning: O.P. Jindal Global University
  • Geographical Information Systems - Part 1: École Polytechnique Fédérale de Lausanne
  • Design and Analysis of Algorithms: Clemson University

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