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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


  • C

    Coursera

    Apply AI Techniques & Prescriptives

    Skills you'll gain: Operations Research, Strategic Thinking, Strategic Decision-Making, Business Strategy, AI Enablement, Business Analytics, Operational Analysis, Advanced Analytics, Analytics, Process Optimization, Applied Machine Learning, Process Improvement and Optimization, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Statistical Modeling, Decision Making, Resource Allocation, Performance Analysis, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • K

    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware

    Beginner · Course · 1 - 4 Weeks

  • V

    Vanderbilt University

    AI Agents with Model Context Protocol & Typescript

    Skills you'll gain: Claude Code, Prompt Engineering, Model Context Protocol, ChatGPT, Prompt Patterns, Anthropic Claude, AI Workflows, Ideation, Verification And Validation, Prompt Engineering Tools, LLM Application, Generative AI Agents, Multimodal Prompts, Agentic Workflows, AI Orchestration, AI Enablement, Generative AI, Agentic systems, AI Security, Artificial Intelligence and Machine Learning (AI/ML)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Building Generative AI-Powered Applications with Python

    Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, Hugging Face, Generative AI, OpenAI, Web Applications, Flask (Web Framework), Python Programming, Natural Language Processing, Prompt Engineering, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    269 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Convolutional Neural Networks, Health Policy, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    619 reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Machine Learning, Model Evaluation, Distributed Computing, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Michigan

    Responsible Generative AI

    Skills you'll gain: Responsible AI, Generative AI, Governance, Data Governance, Data Ethics, Compliance Management, Consumer Behaviour, AI Enablement, Social Impact, Business Risk Management, Business Operations, AI Product Strategy, Artificial Intelligence, Risk Analysis, Automation, Stakeholder Management, Operations, Human Resources, Leadership and Management, Risk Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    337 reviews

    Beginner · Specialization · 1 - 3 Months

  • E

    ESSEC Business School

    Case studies in business analytics with ACCENTURE

    Skills you'll gain: Case Studies, Digital Transformation, Advanced Analytics, Business Analytics, Analytics, Business Analysis, Data Analysis, Value Propositions, Consultative Approaches, Business Transformation

    3.7
    Rating, 3.7 out of 5 stars
    ·
    210 reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI for IT Systems Analysts and Architects

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Systems Analysis, Stakeholder Communications, LLM Application, Systems Architecture, Solution Architecture, Real Time Data, AI Workflows, AI Personalization, Software Architecture, Stakeholder Analysis, Systems Thinking, Responsible AI, Business Communication, Machine Learning, Project Documentation, Context Management, Technical Consulting

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

    Beginner · Specialization · 1 - 3 Months

  • F

    Fractal Analytics

    Generative AI for Business Consultants

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Data Ethics, AI Security, Management Consulting, Artificial Intelligence, Business Consulting, Consulting, Technical Consulting, AI Enablement, Microsoft Copilot, Quality Assurance, Market Research, Large Language Modeling, Data-Driven Decision-Making, Automation, Technical Communication, Critical Thinking, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    222 reviews

    Beginner · Specialization · 1 - 3 Months

  • I

    IBM

    Generative AI for Business Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Business Analysis, Data-Driven Decision-Making, Data Analysis, AI Security, Business Analytics, Artificial Intelligence, Business Process Automation, Stakeholder Communications, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Personalization, Business Strategy, Machine Learning, Context Management

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

    Beginner · Specialization · 1 - 3 Months

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

  • Apply AI Techniques & Prescriptives: Coursera
  • ML Model Development and Tracking: Hands-on Guide: KodeKloud
  • AI Agents with Model Context Protocol & Typescript: Vanderbilt University
  • Building Generative AI-Powered Applications with Python: IBM
  • Fundamentals of Machine Learning for Healthcare: Stanford University
  • Deep Learning with Keras and Tensorflow: IBM
  • Production Machine Learning Systems: Google Cloud
  • Responsible Generative AI: University of Michigan
  • Case studies in business analytics with ACCENTURE: ESSEC Business School
  • Generative AI for IT Systems Analysts and Architects: IBM

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