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  • Data Manipulation

Data Manipulation Courses

Data manipulation courses can help you learn data cleaning, transformation techniques, and exploratory data analysis. You can build skills in using functions for data aggregation, filtering datasets, and visualizing information effectively. Many courses introduce tools like Python, R, and SQL, that support handling large datasets and performing complex analyses. You'll also explore libraries such as Pandas and NumPy, which streamline data manipulation tasks and enhance your ability to derive insights from raw data.


Popular Data Manipulation Courses and Certifications


  • M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    351 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • S

    Simplilearn

    Programming with C ++

    Skills you'll gain: Object Oriented Programming (OOP), C++ (Programming Language), Computer Programming, Programming Principles, Algorithms, Data Structures, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    59 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Algorithms on Strings

    Skills you'll gain: Bioinformatics, Algorithms, Data Structures, Text Mining, Theoretical Computer Science, Computational Thinking

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Quantifying Relationships with Regression Models

    Skills you'll gain: Regression Analysis, Logistic Regression, Correlation Analysis, Statistical Inference, Model Evaluation, Statistical Modeling, Statistical Analysis, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Generative AI and Prompt Engineering Essentials

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Large Language Modeling, ChatGPT, Generative Model Architectures, LLM Application, Responsible AI, AI Security, Model Evaluation, Natural Language Processing, Artificial Intelligence, Model Deployment, Context Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Model Deployment, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Logistic Regression, Anomaly Detection, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 3 Months

  • A

    Alfaisal University | KLD

    أساسيات مايكروسوفت آوتلوك | Microsoft Outlook Fundamentals

    Skills you'll gain: Microsoft Outlook, Microsoft Office, Setting Appointments, Calendar Management, Organizational Skills, Data Entry, Computer Literacy, Scheduling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Modeling in AWS

    Skills you'll gain: Model Evaluation, AWS SageMaker, Predictive Modeling, Data Modeling, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Performance Tuning

    2.6
    Rating, 2.6 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    Scrimba

    Fullstack Development

    Skills you'll gain: Prompt Engineering, Responsive Web Design, Node.JS, Command-Line Interface, TypeScript, Unit Testing, SQL, HTML and CSS, Web Content Accessibility Guidelines, Typography, Cascading Style Sheets (CSS), Ajax, React.js, User Interface and User Experience (UI/UX) Design, Hypertext Markup Language (HTML), JavaScript Frameworks, JSON, Generative AI, Database Design, UI Components

    4.6
    Rating, 4.6 out of 5 stars
    ·
    846 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of California San Diego

    Advanced Algorithms and Complexity

    Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Python Programming, Programming Principles, Computational Logic, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    701 reviews

    Advanced · Course · 1 - 3 Months

  • N

    Northeastern University

    Basic Programming in Python II

    Skills you'll gain: Web Applications, Object Oriented Programming (OOP), Application Development, Python Programming, Computer Programming, Programming Principles, Data Science, Data Analysis, Scripting, Data Structures, Debugging, Style Guides, Software Documentation

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    The Social and Technical Context of Health Informatics

    Skills you'll gain: Health Informatics, Health Technology, Health Systems, Health Policy, Health Care, Informatics, Healthcare Industry Knowledge, Health Information Management and Medical Records, Health Information Management, Health Care Procedure and Regulation, System Requirements, Interoperability, Electronic Medical Record, Data Literacy, Technology Strategies, Medical Imaging, Emerging Technologies

    4.3
    Rating, 4.3 out of 5 stars
    ·
    584 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular data manipulation courses

  • Microsoft AI & ML Engineering: Microsoft
  • Programming with C ++: Simplilearn
  • Algorithms on Strings: University of California San Diego
  • Quantifying Relationships with Regression Models: Johns Hopkins University
  • Generative AI and Prompt Engineering Essentials: Edureka
  • Foundations of Machine Learning : Fractal Analytics
  • أساسيات مايكروسوفت آوتلوك | Microsoft Outlook Fundamentals: Alfaisal University | KLD
  • Modeling in AWS: Whizlabs
  • Fullstack Development: Scrimba
  • Advanced Algorithms and Complexity: University of California San Diego

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