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  • Problems In Computer Science

Results for "problems in computer science"


  • Status: Free Trial
    Free Trial
    C

    Coursera

    Python for Data Science (and Version Control with GitHub)

    Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Version Control, Statistical Analysis, Data Science, Python Programming, NumPy, Data Analysis, Jupyter, Programming Principles, Data Cleansing, Exploratory Data Analysis, Scripting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Concurrent Programming in Java

    Skills you'll gain: Java Programming, Java, Data Structures, System Programming, Programming Principles, Debugging, Algorithms, Performance Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    664 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnQuest

    No-Code Machine Learning and Data Science for Everyone

    Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Recording in Journals & Posting in Ledgers

    Skills you'll gain: Ledgers (Accounting), Accounting Records, Bookkeeping, General Accounting, Accounting Systems, General Ledger, Accrual Accounting, Accounting, Accruals, Revenue Recognition, Reconciliation, Generally Accepted Accounting Principles (GAAP), Transaction Processing, Financial Reporting, Expense Management, Journals

    4.8
    Rating, 4.8 out of 5 stars
    ·
    178 reviews

    Mixed · Course · 1 - 4 Weeks

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

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Security Services in AWS

    Skills you'll gain: Amazon Web Services, Disaster Recovery, Amazon CloudWatch, Security Information and Event Management (SIEM), Intrusion Detection and Prevention, Configuration Management, Automation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    UiPath

    Control Flow in RPA

    Skills you'll gain: Robotic Process Automation, Automation, Data Flow Diagrams (DFDs), Programming Principles, Computational Logic

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Branding in Canva

    Skills you'll gain: Canva (Software), Logo Design, Branding, Brand Strategy, Style Guides, Typography, Brand Management, Creative Design, Marketing Design, Graphic Design, Color Theory, Graphic and Visual Design, Digital Design, Governance, Asset Management, Layout Design, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    106 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Digital Marketing

    Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Patterns, ChatGPT, Generative AI, Digital Advertising, Email Marketing, Data Ethics, Digital Marketing, Search Engine Optimization, Marketing Automation, AI Personalization, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Web Analytics and SEO, Search Engine Marketing, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML)

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

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Lausanne

    La science forensique au tribunal: témoin digne de foi ?

    Skills you'll gain: Statistical Methods, Criminal Investigation and Forensics, Court Systems, Report Writing, Probability & Statistics, Technical Communication, Scientific Methods, Analysis, Case Studies, Ethical Standards And Conduct

    4.8
    Rating, 4.8 out of 5 stars
    ·
    71 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    G

    Google Cloud

    Einführung in Data Engineering in Google Cloud

    Skills you'll gain: Data Migration, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Processing, Data Lakes, Data Infrastructure, Data Warehousing, Cloud Storage, Data Transformation, Serverless Computing, Metadata Management, Automation

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular problems in computer science courses

  • Python for Data Science (and Version Control with GitHub): Coursera
  • Concurrent Programming in Java: Rice University
  • No-Code Machine Learning and Data Science for Everyone: LearnQuest
  • Recording in Journals & Posting in Ledgers: University of California, Irvine
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Security Services in AWS: Packt
  • Control Flow in RPA: UiPath
  • Advanced Branding in Canva: Coursera
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Generative AI for Digital Marketing: IBM

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