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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


  • Status: Free Trial
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    Whizlabs

    ML Algorithms

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Classification Algorithms, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Supervised Learning, Unsupervised Learning, Predictive Modeling, Regression Analysis, Natural Language Processing

    3.7
    Rating, 3.7 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Generative AI, LLMs, and Advanced Applications with Python

    Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Generative AI, Large Language Modeling, Generative Adversarial Networks (GANs), ChatGPT, Generative AI Agents, Hugging Face, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Applied Machine Learning, Prompt Engineering, Application Programming Interface (API), Transfer Learning, Machine Learning Algorithms, Data Preprocessing, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    Practical Methodology and Ethics in AI

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Model Deployment, Debugging, Artificial Intelligence, Machine Learning, Ethical Standards And Conduct, Model Evaluation, Applied Machine Learning, Social Impact, Unstructured Data, Data-Driven Decision-Making, Information Privacy, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, AI Workflows, Scalability, AI Orchestration, DevOps, Model Evaluation, Continuous Monitoring, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    DeepLearning.AI

    هيكلة مشاريع التعلم الآلي

    Skills you'll gain: Technical Management, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Supervised Learning, Model Evaluation, Performance Tuning, Test Data

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI Cybersecurity & Privacy for Leaders

    Skills you'll gain: Prompt Engineering, AI Security, ChatGPT, Prompt Patterns, Generative AI, Crisis Management, LLM Application, Productivity, Incident Response, Responsible AI, OpenAI, AI Personalization, AI Enablement, Data Ethics, Artificial Intelligence, Large Language Modeling, Business Ethics, Information Privacy, Threat Modeling, Cybersecurity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Coursera

    Responsible AI: Transparency & Ethics

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Compliance Management, AI Enablement, Risk Mitigation, OpenAI, Mitigation, Ethical Standards And Conduct, Model Evaluation, Auditing, Risk Management Framework, Governance

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    SAS

    Responsible Innovation and Trustworthy AI

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Regulatory Compliance, Artificial Intelligence, Business Ethics, Risk Analysis, SAS (Software), Compliance Training, Data Integrity, Human Centered Design, Accountability, Analytics, Diversity and Inclusion, Information Privacy, Data Governance, Data Analysis, Data Management, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Performance Reviews: Streamline Feedback Processes

    Skills you'll gain: Performance Review, HR Tech, Employee Performance Management, Generative AI, AI Personalization, Workforce Development, Employee Coaching, AI Enablement, Smart Goals, People Development, Human Resource Strategy, Constructive Feedback, Responsible AI, Performance Analysis, Prompt Engineering, Automation, Coaching, Trend Analysis, Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Meta

    Meta Full Stack Developer: Front-End & Back-End from Scratch

    Skills you'll gain: Jest (JavaScript Testing Framework), Django (Web Framework), Version Control, Restful API, Responsive Web Design, Cascading Style Sheets (CSS), Unix Commands, HTML and CSS, Git (Version Control System), API Testing, GitHub, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), React.js, Mobile Development, SQL, Database Design, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • ML Algorithms: Whizlabs
  • Generative AI, LLMs, and Advanced Applications with Python: Packt
  • Practical Methodology and Ethics in AI: Johns Hopkins University
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Foundations of Probability and Random Variables: Johns Hopkins University
  • هيكلة مشاريع التعلم الآلي: DeepLearning.AI
  • Generative AI Cybersecurity & Privacy for Leaders: Vanderbilt University
  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • Responsible AI: Transparency & Ethics: Coursera
  • Responsible Innovation and Trustworthy AI : SAS

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