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Results for "programming%20languages"


  • E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    751 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Pointers, Arrays, and Recursion

    Skills you'll gain: C (Programming Language), Data Structures, Programming Principles, Algorithms, Computational Thinking, Debugging

    4.3
    Rating, 4.3 out of 5 stars
    ·
    349 reviews

    Beginner · Course · 1 - 3 Months

  • I

    Instituto Tecnológico de Aeronáutica

    TDD – Desenvolvimento de Software Guiado por Testes

    Skills you'll gain: Test Driven Development (TDD), Unit Testing, JUnit, Test Automation, Software Testing, Testability, Maintainability, Software Design, Software Development, White-Box Testing, Object Oriented Programming (OOP), Software Quality (SQA/SQC), Programming Principles

    4.7
    Rating, 4.7 out of 5 stars
    ·
    412 reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    378 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of California, Irvine

    iOS Development for Creative Entrepreneurs

    Skills you'll gain: Swift Programming, Objective-C (Programming Language), iOS Development, Core Data (Software), Apple iOS, Video Game Development, Game Design, Model View Controller, JSON, User Interface (UI) Design, UI Components, Mobile Development, OAuth, Responsive Web Design, Prototyping, Animation and Game Design, Apple Xcode, Human Computer Interaction, UI/UX Strategy, Usability Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    710 reviews

    Beginner · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • R

    Rice University

    Python Data Analysis

    Skills you'll gain: Data Manipulation, File I/O, Data Structures, Scripting, Data Import/Export, Data Analysis, Python Programming, Data Storage

    4.7
    Rating, 4.7 out of 5 stars
    ·
    893 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to HTML, CSS, & JavaScript

    Skills you'll gain: Responsive Web Design, Cascading Style Sheets (CSS), Web Development, Javascript, Bootstrap (Front-End Framework), Scripting, Browser Compatibility, Application Programming Interface (API), Back-End Web Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    811 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Visualization, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    204 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Data Analytics Foundations

    Skills you'll gain: Data Storytelling, Google Sheets, Data Visualization, Spreadsheet Software, Large Language Modeling, Data Literacy, Data Visualization Software, Business Analysis, Requirements Analysis, Data Analysis, Analytics, Exploratory Data Analysis, Data-Driven Decision-Making, Trend Analysis, Data Transformation, Stakeholder Engagement

    4.8
    Rating, 4.8 out of 5 stars
    ·
    200 reviews

    Beginner · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    Fractal Data Science

    Skills you'll gain: Data Storytelling, Decision Making, Critical Thinking, Database Design, Data Manipulation, Data Presentation, Power BI, Data Visualization, Model Evaluation, Feature Engineering, Model Deployment, Interactive Data Visualization, Data Wrangling, Data Analysis Expressions (DAX), Human Centered Design, Storyboarding, SQL, Machine Learning, Problem Solving, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    539 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • U

    University of Toronto

    Bioinformatic Methods I

    Skills you'll gain: Biostatistics, Life Sciences, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular programming%20languages courses

  • Introduction to Embedded Machine Learning: Edge Impulse
  • Pointers, Arrays, and Recursion: Duke University
  • TDD – Desenvolvimento de Software Guiado por Testes: Instituto Tecnológico de Aeronáutica
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • iOS Development for Creative Entrepreneurs: University of California, Irvine
  • Practical Machine Learning: Johns Hopkins University
  • Python Data Analysis: Rice University
  • Introduction to HTML, CSS, & JavaScript: IBM
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
  • Data Analytics Foundations: DeepLearning.AI

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