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Results for "cobol (programming language)"

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Capstone

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Data Science, Data Analysis, Data Presentation, Data Collection, Data Storytelling, Data Cleansing, Statistical Analysis, Data Manipulation, R Programming, Machine Learning, Natural Language Processing

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

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    JavaScript for Beginners

    Skills you'll gain: jQuery, Javascript and jQuery, Ajax, Javascript, Data Manipulation, Data Validation, UI Components, HTML and CSS, Scripting, JSON, Scripting Languages, Event-Driven Programming, Web Development Tools, JavaScript Frameworks, Web Applications, Web Design and Development, Game Design, Application Programming Interface (API), Object Oriented Programming (OOP), Animations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Specialization · 3 - 6 Months

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

    Pearson

    Hadoop and Spark Fundamentals

    Skills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Analytics, Data Pipelines, Data Processing, Data Import/Export, Data Integration, Linux Commands, Data Mapping, Linux, File Systems, Text Mining, Data Management, Distributed Computing, Java, C++ (Programming Language)

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Reproducible Research

    Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, Version Control

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Understanding and Visualizing Data with Python

    Skills you'll gain: Sampling (Statistics), Data Visualization, Data Literacy, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals Part 1: Unit 2

    Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Process Data from Dirty to Clean

    Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Automating Real-World Tasks with Python

    Skills you'll gain: Web Services, Email Automation, Scripting, Automation, Python Programming, Restful API, Application Programming Interface (API), JSON, System Monitoring, Image Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Serverless Computing, Digital Transformation, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Applied Machine Learning, Hybrid Cloud Computing, Image Analysis, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Public Cloud, Business Transformation, Containerization, Technology Strategies, Cloud-Native Computing, Multi-Cloud, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 2)

    Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Data Structures, Theoretical Computer Science, Computer Programming, Python Programming, Computer Science, Game Theory, Mathematical Modeling, Software Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    364 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EIT Digital

    AI for Cybersecurity

    Skills you'll gain: Cybersecurity, Information Systems Security, Cyber Threat Intelligence, Data Ethics, Deep Learning, Intrusion Detection and Prevention, Artificial Intelligence and Machine Learning (AI/ML), Malware Protection, Natural Language Processing, Artificial Intelligence, Threat Detection, Anomaly Detection, Machine Learning, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Python Fundamentals

    Skills you'll gain: Programming Principles, Computer Programming, Data Manipulation, Python Programming, Scripting Languages, Scripting, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    217 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular cobol (programming language) courses

  • Data Science Capstone: Johns Hopkins University
  • JavaScript for Beginners: University of California, Davis
  • Hadoop and Spark Fundamentals: Pearson
  • Reproducible Research: Johns Hopkins University
  • Understanding and Visualizing Data with Python: University of Michigan
  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • Process Data from Dirty to Clean: Google
  • Automating Real-World Tasks with Python: Google
  • Digital Transformation Using AI/ML with Google Cloud: Google Cloud
  • Principles of Computing (Part 2): Rice University

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