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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


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    Coursera

    Analyze, Engineer, and Boost AI ROI

    Skills you'll gain: Feature Engineering, Data Analysis, Return On Investment, Performance Measurement, Business Metrics

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Geospatial Visualization, Cloud & Real-Time Pipelines

    Skills you'll gain: Data Visualization, Leaflet (Software), Interactive Data Visualization, Data Presentation, Spatial Data Analysis, Heat Maps, Data Visualization Software, GIS Software, Geographic Information Systems, Metadata Management, Spatial Analysis, Color Theory, Design, Query Languages, Technical Documentation, Data Validation, Geospatial Mapping, Apache Airflow, Extract, Transform, Load, Cloud Computing

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Packt

    Building LLM Powered Applications

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Responsible AI, Large Language Modeling, Hugging Face, Generative AI, Generative Model Architectures, Retrieval-Augmented Generation, Generative AI Agents, AI Orchestration, Embeddings, Python Programming, Vector Databases, Machine Learning, Data Science

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
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    Google

    Discover the Art of Prompting

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Model Evaluation, Content Creation

    4.9
    Rating, 4.9 out of 5 stars
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    2.1K reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Advanced RAG Patterns

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Production AI Model Development and Ethics

    Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Preprocessing, Machine Learning, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

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    Coursera

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

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    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of California, Davis

    Computational Social Science

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Data Processing, Big Data, Systems Thinking, Social Studies, Trend Analysis, Data Science, AI Enablement, Research Methodologies, Agentic systems

    4.6
    Rating, 4.6 out of 5 stars
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    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    The State University of New York

    Practical Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Correlation Analysis, Probability & Statistics, Descriptive Statistics, Statistical Inference, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
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    1.7K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Analyze, Engineer, and Boost AI ROI: Coursera
  • Geospatial Visualization, Cloud & Real-Time Pipelines: Coursera
  • Building LLM Powered Applications: Packt
  • Discover the Art of Prompting: Google
  • Advanced RAG Patterns: Coursera
  • Production AI Model Development and Ethics: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Fine-tune Multimodal Models with Transfer Learning: Coursera
  • Introduction to Machine Learning: Duke University
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI

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