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Results for "ibm"


  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Jupyter, Deep Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Agile Development and Scrum

    Skills you'll gain: Agile Software Development, Agile Methodology, Kanban Principles, Agile Project Management, User Story, Sprint Retrospectives, Sprint Planning, Workflow Management, Performance Metric, Team Oriented, Backlogs, Performance Measurement, Lean Methodologies, Continuous Improvement Process, Prioritization, Estimation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Project Management

    Skills you'll gain: Stakeholder Management, IT Management, Project Management, Project Coordination, Information Technology, Project Risk Management, Agile Project Management, Project Implementation, Project Management Life Cycle, Relationship Management, Agile Methodology, Project Planning, Communication

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Engineering

    Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Data Science with R

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Data Visualization, Data Wrangling, Dashboard, Exploratory Data Analysis, Relational Databases, Data Analysis, Ggplot2, Data Presentation, SQL, Plot (Graphics), Databases, Leaflet (Software), Data Manipulation, Web Scraping, R Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Machine Learning Methods, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Natural Language Processing, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    811 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    ETL and Data Pipelines with Shell, Airflow and Kafka

    Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Data Mart, Unix Shell, Big Data, Performance Tuning, Scalability, Command-Line Interface

    4.5
    Rating, 4.5 out of 5 stars
    ·
    438 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Developing Back-End Apps with Node.js and Express

    Skills you'll gain: Node.JS, Server Side, Full-Stack Web Development, Back-End Web Development, Cloud Applications, Web Development, Restful API, Web Applications, Web Servers, Authentications, Javascript, Application Programming Interface (API), Computer Science, JSON, Middleware

    4.5
    Rating, 4.5 out of 5 stars
    ·
    585 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Image Analysis, Computer Vision, Regression Analysis, Network Architecture, Network Model, Natural Language Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Business Analysis

    Skills you'll gain: Digital Transformation, Business Analysis, Requirements Elicitation, Gap Analysis, Analysis, Business Analytics, Business Requirements, Requirements Analysis, Systems Analysis, Business Process Modeling, Technology Strategies, Microsoft Excel, Project Management, Stakeholder Management, Stakeholder Communications, Change Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    353 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Web Development with HTML, CSS, JavaScript

    Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Web Development, Web Development Tools, Cascading Style Sheets (CSS), Front-End Web Development, Web Design, Javascript, Interactive Design, Web Applications, Full-Stack Web Development, Back-End Web Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular ibm courses

  • Introduction to Computer Vision and Image Processing: IBM
  • Introduction to Agile Development and Scrum: IBM
  • Introduction to Project Management : IBM
  • Introduction to Data Engineering: IBM
  • Applied Data Science with R: IBM
  • Deep Learning with Keras and Tensorflow: IBM
  • Supervised Machine Learning: Regression: IBM
  • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
  • Developing Back-End Apps with Node.js and Express: IBM
  • Introduction to Deep Learning & Neural Networks with Keras: IBM

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