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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


  • D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

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

    Intermediate · Course · 1 - 4 Weeks

  • E

    Eindhoven University of Technology

    Improving your statistical inferences

    Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Sample Size Determination, Research, R Programming, Data Sharing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    801 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.2
    Rating, 4.2 out of 5 stars
    ·
    354 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    IBM Back-End Development

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Istio, Linux Commands, Software Architecture, Application Deployment, Kubernetes, NoSQL, Bash (Scripting Language), Restful API, MongoDB, Shell Script, Django (Web Framework), Object-Relational Mapping, Git (Version Control System), Grafana, Microservices, Data Import/Export, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    53K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • S

    Stanford University

    Probabilistic Graphical Models

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • U

    University of California, Davis

    SQL Problem Solving

    Skills you'll gain: SQL, Data Quality, Complex Problem Solving, Data Visualization, JSON, Query Languages, Business Metrics, Business Reporting, Data Cleansing, Data Presentation, Forecasting, Data Analysis, Predictive Analytics, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Implement Real-Time Face Detection with OpenCV & Python

    Beginner · Course · 1 - 4 Weeks

  • E

    Edge Impulse

    Edge AI Fundamentals

    Skills you'll gain: MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Machine Learning Methods, Deep Learning, Computer Vision, Anomaly Detection, Convolutional Neural Networks, Machine Learning, Cloud Computing, Internet Of Things, Product Engineering, Embedded Systems, Industrial Engineering, Data Science, Product Development

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    799 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deploy, Evaluate and Create AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Dependency Analysis, Performance Tuning, CI/CD, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize AI: Fine-Tune & Maximize Accuracy

    Skills you'll gain: Vision Transformer (ViT), Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Keras (Neural Network Library), Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

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

  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Improving your statistical inferences: Eindhoven University of Technology
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Python Essentials for MLOps: Duke University
  • IBM Back-End Development: IBM
  • Probabilistic Graphical Models: Stanford University
  • SQL Problem Solving: University of California, Davis
  • Implement Real-Time Face Detection with OpenCV & Python: EDUCBA
  • Edge AI Fundamentals: Edge Impulse
  • AI for Medical Prognosis : DeepLearning.AI

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