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  • Programming Basics For Pentesters

Results for "programming basics for pentesters"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    Knowledge Accelerators

    Excel Basics for Beginners: Workbooks, Formatting, Charts and Core Skills

    Skills you'll gain: Data Presentation, Pivot Tables And Charts, Data Entry, Data Processing, Data Science, Organizational Skills, Business Analytics, Data Management, Business Intelligence, Microsoft 365, Productivity Software, Record Keeping, Customer Data Management, Productivity, Financial Analysis, Marketing Planning, Project Management, Event Planning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    Programming Languages, Part B

    Skills you'll gain: Other Programming Languages, Software Design, Ruby (Programming Language), Programming Principles, Data Structures, Software Architecture, Computer Programming, Functional Design, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    788 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Prompt Engineering for ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, AI Enablement, Generative AI, Artificial Intelligence, Large Language Modeling, Creativity, Problem Solving, Context Management, Verification And Validation

    4.8
    Rating, 4.8 out of 5 stars
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    7.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Functional Programming in Scala

    Skills you'll gain: Scala Programming, Apache Spark, User Interface (UI), Distributed Computing, Programming Principles, Big Data, Data Processing, Software Design, Data Structures, Software Design Patterns, Functional Design, Data Manipulation, Object Oriented Programming (OOP), Heat Maps, Interactive Data Visualization, Computer Programming, Real Time Data, Visualization (Computer Graphics), Geospatial Information and Technology, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Mechanical Engineers

    Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Precision Medicine, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Transfer Learning, Biomedical Engineering, Control Systems, Energy and Utilities, Technical Design, Robotics, Deep Learning, Computer Vision, Medical Imaging, Reinforcement Learning, Electric Power Systems, Bioinformatics

    4.4
    Rating, 4.4 out of 5 stars
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    131 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, ChatGPT, AI Product Strategy, AI Security, Artificial Intelligence, Automation, Cloud Applications, Social Impact

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    A

    Arizona State University

    English Communication for Tech Professionals

    Skills you'll gain: Business Writing, Oral Expression, Presentations, Grammar, Rapport Building, Business Communication, Technical Communication, Verbal Communication Skills, Writing, Vocabulary, Business Correspondence, Interpersonal Communications, Communication, Interviewing Skills, English Language, LinkedIn, Constructive Feedback, Professional Networking

    4.8
    Rating, 4.8 out of 5 stars
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    75 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, Computational Thinking, General Mathematics, Mathematical Modeling, Algebra, Cryptography, Systems Of Measurement

    4.2
    Rating, 4.2 out of 5 stars
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    268 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    13K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Big Data, Statistical Programming, Text Mining, Data Import/Export, Data Analysis, Data Structures, Performance Tuning, Application Programming Interface (API)

    4.3
    Rating, 4.3 out of 5 stars
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    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Excel for Beginners: Advanced Functions

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Entry

    4.2
    Rating, 4.2 out of 5 stars
    ·
    60 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Washington

    Programming Languages, Part C

    Skills you'll gain: Ruby (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Computer Programming, Programming Principles, Functional Design, Computational Thinking, Software Design Patterns, Theoretical Computer Science, Computer Science, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    463 reviews

    Mixed · Course · 1 - 3 Months

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In summary, here are 10 of our most popular programming basics for pentesters courses

  • Excel Basics for Beginners: Workbooks, Formatting, Charts and Core Skills: Knowledge Accelerators
  • Programming Languages, Part B: University of Washington
  • Prompt Engineering for ChatGPT: Vanderbilt University
  • Functional Programming in Scala: École Polytechnique Fédérale de Lausanne
  • AI for Mechanical Engineers: University of Michigan
  • Generative AI for Everyone: DeepLearning.AI
  • English Communication for Tech Professionals: Arizona State University
  • Mathematics for Computer Science: University of London
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • The R Programming Environment: Johns Hopkins University

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