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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

    Optimize ML Models: Hyperparameter Tuning

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Text Retrieval and Search Engines

    Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Vector Databases, Big Data, Model Evaluation, Web Analytics and SEO, Machine Learning, Information Architecture, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    964 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, User Feedback, Predictive Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    832 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Automate ML Pipelines for Peak Performance

    Intermediate · 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

  • D

    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Algorithms for DNA Sequencing

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

    4.7
    Rating, 4.7 out of 5 stars
    ·
    932 reviews

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Feature Engineering

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google

    AI for Writing and Communicating

    Skills you'll gain: Gemini, Writing and Editing, Generative AI, Oral Expression, Google Workspace, Artificial Intelligence, Responsible AI

    4.9
    Rating, 4.9 out of 5 stars
    ·
    61 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Model Training & Evaluation

    Skills you'll gain: Supervised Learning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

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

  • Optimize ML Models: Hyperparameter Tuning : Coursera
  • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
  • Recommender Systems: University of Minnesota
  • Automate ML Pipelines for Peak Performance: Coursera
  • AI Agents with Model Context Protocol & Typescript: Vanderbilt University
  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • Sequence Modeling, Transformers, and Transfer Learning: Packt
  • Algorithms for DNA Sequencing: Johns Hopkins University
  • Feature Engineering: Google Cloud
  • AI for Writing and Communicating: Google

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