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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


  • R

    Rice University

    Concurrent Programming in Java

    Skills you'll gain: Java Programming, Java, Data Structures, System Programming, Programming Principles, Debugging, Algorithms, Performance Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    664 reviews

    Intermediate · Course · 1 - 3 Months

  • R

    Real Madrid Graduate School Universidad Europea

    Applied Football Analytics - Looking at real-world cases

    Skills you'll gain: Data Synthesis, Data Integration, Data Literacy, Data Storytelling, Analysis, Case Studies, Business Analytics, Advanced Analytics, Analytical Skills, Strategic Decision-Making, Business Metrics, Forecasting, Media and Communications, Statistics, Persuasive Communication, Databases, Database Design, Innovation

    Beginner · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Initiation à la programmation (en Java)

    Skills you'll gain: Programming Principles, Java Programming, Computer Programming, Data Structures, Java, Development Environment, Algorithms, Problem Solving, Eclipse (Software), Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    435 reviews

    Beginner · Course · 1 - 3 Months

  • H

    H2O.ai

    H2O ai Large Language Models (LLMs) - Level 2

    Skills you'll gain: Collaborative Software, Large Language Modeling, Data Preprocessing, Data Validation, Data Cleansing, Natural Language Processing, Verification And Validation, Transfer Learning, Data Quality, AI Workflows, Model Deployment

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Learning Deep Learning

    Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts

    Intermediate · Specialization · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Parallel programming

    Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Scalability, Java Programming, Other Programming Languages, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Amsterdam

    Methods and Statistics in Social Science - Final Research Project

    Skills you'll gain: Statistical Analysis, Research, Research Reports, Data Analysis, Research Design, Data Collection, Research Methodologies, Surveys, Qualitative Research, Experimentation, Descriptive Statistics, Survey Creation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    70 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Exploring the Public Cryptocurrency Datasets Available in BigQuery

    Skills you'll gain: SQL, Big Data, Data Validation, Query Languages, Data Mining, Business Metrics

    Advanced · Project · Less Than 2 Hours

  • U

    University of California San Diego

    Internet of Things: Communication Technologies

    Skills you'll gain: Session Initiation Protocols, Android Studio, Android Development, Internet Of Things, Communication Systems, Network Protocols, Telecommunications, Wireless Networks, Mobile Development, Application Development, Embedded Systems, Open Source Technology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    508 reviews

    Mixed · Course · 1 - 3 Months

  • U

    Universidad Austral

    NLP Modelos y Algoritmos

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Unsupervised Learning, Algorithms, Supervised Learning

    3.7
    Rating, 3.7 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Foundations of No-Code AI for Real-World Applications

    Skills you'll gain: Data Ethics, No-Code Development, Model Deployment, Data Cleansing, Data Preprocessing, Artificial Intelligence, Machine Learning, Business Metrics, Data Storytelling, User Experience Design, Generative AI, Business Analytics, Regulation and Legal Compliance, AI Workflows, Scalability, Data Validation, Dashboard, Automation, Stakeholder Engagement

    Beginner · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Éléments de Géomatique

    Skills you'll gain: Spatial Data Analysis, Geospatial Mapping, Geospatial Information and Technology, Geographic Information Systems, Spatial Analysis, Geostatistics, Global Positioning Systems, 3D Modeling, Visualization (Computer Graphics), Engineering, Scientific, and Technical Instruments, Engineering Calculations, Trigonometry, Systems Of Measurement, Applied Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    144 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Concurrent Programming in Java: Rice University
  • Applied Football Analytics - Looking at real-world cases: Real Madrid Graduate School Universidad Europea
  • Initiation à la programmation (en Java): École Polytechnique Fédérale de Lausanne
  • H2O ai Large Language Models (LLMs) - Level 2: H2O.ai
  • Learning Deep Learning: Pearson
  • Parallel programming: École Polytechnique Fédérale de Lausanne
  • Methods and Statistics in Social Science - Final Research Project: University of Amsterdam
  • Exploring the Public Cryptocurrency Datasets Available in BigQuery: Google Cloud
  • Internet of Things: Communication Technologies: University of California San Diego
  • NLP Modelos y Algoritmos: Universidad Austral

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