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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


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra from Elementary to Advanced

    Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    215 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    932 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Machine Learning Methods, Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.8K reviews

    Beginner · Course · 1 - 3 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, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

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

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    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, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

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

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
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    C

    Coursera

    Engineer AI Models: Explain, Tune & Experiment

    Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Risk Modeling, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Test Planning, Test Engineering, Applied Machine Learning, Research Design, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Agentic AI Content for Practitioners (Teams: Legal)

    Skills you'll gain: Agentic Workflows, Agentic systems, Contract Compliance, Organizational Change, Legal Technology, Change Management, Contract Review, AI Enablement, Compliance Reporting, Compliance Management, Workflow Management, Regulation and Legal Compliance, Scalability, Automation, Process Design, Risk Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    588 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    SAS Certification Practice Exams

    Skills you'll gain: Model Deployment, Logistic Regression, Probability & Statistics, Statistics, Model Evaluation, Classification And Regression Tree (CART)

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    B

    Board Infinity

    Transformers in Action: A Practical Approach to NLP and AI

    Skills you'll gain: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Use AI as a Creative or Expert Partner

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Patterns, AI Enablement, AI Personalization, LLM Application, Ideation, Solution Design

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

    Beginner · Course · 1 - 4 Weeks

Searches related to data manipulation

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1…150151152…780

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

  • Linear Algebra from Elementary to Advanced: Johns Hopkins University
  • Inferential Statistical Analysis with Python: University of Michigan
  • Computational Neuroscience: University of Washington
  • Inferential Statistics: Duke University
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Probabilistic Graphical Models: Stanford University
  • Engineer AI Models: Explain, Tune & Experiment: Coursera
  • Agentic AI Content for Practitioners (Teams: Legal): Coursera
  • The Nuts and Bolts of Machine Learning: Google
  • SAS Certification Practice Exams: SAS

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