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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
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Database systems

    Skills you'll gain: NoSQL, Data Warehousing, Database Systems, Database Theory, Relational Databases, Database Management, Extract, Transform, Load, SQL, Databases, Data Mining, Database Development, Business Intelligence, Database Application, Database Management Systems, Big Data, Information Systems, Database Design, MongoDB, Scalability, Database Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    701 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Fine-tuning, Deep Learning, Keras (Neural Network Library), Model Training, Model Optimization, Applied Machine Learning, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Michigan

    Defining AI for Social Impact

    Skills you'll gain: Social Impact, Artificial Intelligence, Research Reports, Socioeconomics, Environmental Monitoring

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnKartS

    Multi-Agent Systems Design: AI Customer Support with n8n

    Skills you'll gain: AI Workflows, Model Context Protocol, AI Orchestration, Agentic Workflows, Generative AI Agents, Software Testing, Email Automation, AI Integrations, Model Deployment, Prompt Engineering, Retrieval-Augmented Generation, Customer Support, Artificial Intelligence, Agentic systems, Large Language Modeling, OpenAI API, Tool Calling, Automation, Vector Databases

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Deep Learning for AI Part 1

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Image Analysis, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Applied Machine Learning, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Python Fundamentals

    Skills you'll gain: Programming Principles, Computer Science, Computer Programming, Data Manipulation, Python Programming, Computational Logic, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    230 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Practical Machine Learning on Databricks

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, AI Workflows, Machine Learning Software, Data Lakes, CI/CD, Model Evaluation, Applied Machine Learning, Data Store, Machine Learning, Development Environment, Predictive Modeling, Statistical Machine Learning, Data Science, Machine Learning Algorithms, Python Programming

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Technical Analysis: Fibonacci and Trading Signals

    Skills you'll gain: Technical Analysis, Market Trend, Financial Trading, Market Data, Trend Analysis, Market Dynamics, Financial Market, Securities Trading, Market Opportunities, Market Analysis, Financial Forecasting, Analysis, Course Development, Probability

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Linear Regression and Modeling

    Skills you'll gain: Regression Analysis, R (Software), Statistical Programming, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Model Evaluation, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics, Statistical Hypothesis Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Microsoft 365 Copilot for Leaders

    Skills you'll gain: Prompt Patterns, AI powered creativity, Business Correspondence, Risking, Leadership Development, AI literacy, Writing, Thought Leadership, Brainstorming, Proposal Development, Human Resource Strategy, Business Transformation, Staff Management, AI Integrations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Database systems: Universidad Nacional Autónoma de México
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Defining AI for Social Impact: University of Michigan
  • Multi-Agent Systems Design: AI Customer Support with n8n: LearnKartS
  • Deep Learning for AI Part 1: Northeastern University
  • Introduction to Python Fundamentals: University of Colorado Boulder
  • Practical Machine Learning on Databricks: Packt
  • Technical Analysis: Fibonacci and Trading Signals: EDUCBA

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