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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.


More to explore:

Popular Data Manipulation Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI and Climate Change

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Image Analysis, Environmental Monitoring, Convolutional Neural Networks, Artificial Intelligence, Climate Change Mitigation, Artificial Neural Networks, Forecasting, Computer Vision, Predictive Modeling, Data Preprocessing, Environmental Science, Supervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    139 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    ANOVA and Experimental Design

    Skills you'll gain: Statistical Hypothesis Testing, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, Data Analysis, Quantitative Research, Regression Analysis, Probability & Statistics, Linear Algebra, Calculus

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Python Functions

    Skills you'll gain: Functional Design, Scripting, Scripting Languages, Python Programming, Data Science, Programming Principles, Computer Programming, Software Engineering

    4.8
    Rating, 4.8 out of 5 stars
    ·
    58 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    76 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Navigating Generative AI Risks for Leaders

    Skills you'll gain: Responsible AI, Risking, Data Ethics, Regulation and Legal Compliance, Generative AI, Business Ethics, AI Security, Intellectual Property, Business Risk Management, Ethical Standards And Conduct, Personally Identifiable Information, Data Security

    4.9
    Rating, 4.9 out of 5 stars
    ·
    68 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Deep Learning

    Skills you'll gain: Deep Learning, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Unsupervised Learning, Generative Adversarial Networks (GANs), Autoencoders, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Natural Language Processing, Applied Machine Learning, Model Evaluation, Performance Tuning

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Generative AI: Fundamentals, Applications, and Challenges

    Skills you'll gain: Generative AI, Responsible AI, AI Enablement, AI Product Strategy, Prompt Engineering, AI Security, Social Impact, Governance, Leadership and Management, Model Evaluation, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    183 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    137 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Basic Image Classification with TensorFlow

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    847 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Better Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    685 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Les Expressions Régulières en Python

    Skills you'll gain: Data Validation, Data Cleansing, Data Processing, Data Manipulation, Text Mining, Data Transformation, Scripting, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Solve Business Problems with AI and Machine Learning

    Skills you'll gain: Data Ethics, Responsible AI, Regulatory Compliance, Business Ethics, Compliance Management, AI Enablement, Applied Machine Learning, Project Implementation, AI Product Strategy, Business Solutions, Solution Design, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Model Evaluation, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Machine Learning Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    110 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • AI and Climate Change: DeepLearning.AI
  • ANOVA and Experimental Design: University of Colorado Boulder
  • Introduction to Python Functions: University of Colorado Boulder
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Navigating Generative AI Risks for Leaders: Coursera
  • Introduction to Deep Learning: University of Colorado Boulder
  • Generative AI: Fundamentals, Applications, and Challenges: University of Michigan
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Basic Image Classification with TensorFlow: Coursera
  • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI

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