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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

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Track Marketing Goals with Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Google Ads, Marketing Effectiveness, Web Analytics and SEO, Smart Goals, Content Performance Analysis, Digital Marketing, Customer Insights, Analytics, Goal Setting, Trend Analysis, Performance Analysis, Data Analysis, Performance Metric, Data-Driven Decision-Making

    Beginner · Course · 3 - 6 Months

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

    EDUCBA

    Apply AI Foundations with Python and AWS

    Skills you'll gain: Matplotlib, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), NumPy, Pandas (Python Package), Model Evaluation, AI Workflows, Data Preprocessing, Deep Learning, Responsible AI, AWS SageMaker, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Manipulation, Data Ethics, Applied Machine Learning, Data-Driven Decision-Making, Python Programming, AWS CloudFormation

    Beginner · Specialization · 3 - 6 Months

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

    EDUCBA

    Master XPath Querying for XML and Automation

    Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Selenium (Software), White-Box Testing, Scalability, Software Testing, Web Applications, Test Automation, Test Script Development, Automation, Scenario Testing, Maintainability, Hypertext Markup Language (HTML)

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    596 reviews

    Advanced · Specialization · 3 - 6 Months

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

    EDUCBA

    Analyze and Automate Pivot Table Problem Solutions

    Skills you'll gain: Business Reporting, Project Documentation, Issue Tracking, Data Presentation, Data Validation, Data Visualization Software

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Accelerate Model Training with PyTorch 2.X

    Skills you'll gain: PyTorch (Machine Learning Library), Distributed Computing, Data Pipelines, Performance Tuning, MLOps (Machine Learning Operations), Deep Learning, AI Workflows, Model Deployment, Scalability, LLM Application, Hardware Architecture, Machine Learning, Computer Architecture

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Genomic Technologies

    Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Computer Science, Statistical Analysis, Computational Thinking, Biostatistics, Statistics, Software Engineering, Algorithms, Biology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.9K reviews

    Mixed · Course · 1 - 4 Weeks

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

    Edureka

    AutoML: Build ML Models without Code

    Skills you'll gain: Image Analysis, Model Deployment, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Google Sheets, Machine Learning Software, Cloud Deployment, Model Evaluation, Predictive Modeling, Machine Learning, Data Science

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Preparing Text for AI Models

    Skills you'll gain: Data Ethics, Data Validation, Generative AI, Data Cleansing, Data Quality, Data Preprocessing, Large Language Modeling, Text Mining, Hugging Face, Data Collection, Unstructured Data, Data Transformation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    Deploy ML Models to Production

    Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Security, Application Deployment, Personally Identifiable Information, Cloud Deployment, General Data Protection Regulation (GDPR), Continuous Deployment, Model Evaluation, Application Programming Interface (API), Continuous Monitoring

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Analyze and Apply Statistical Methods Using Minitab

    Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Sampling (Statistics), Statistical Visualization, Probability & Statistics, Probability Distribution, Data Analysis, Statistical Methods, Performance Analysis, Statistical Inference, Quality Control, Regression Analysis

    Beginner · Course · 1 - 4 Weeks

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1…169170171…834

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

  • Machine Learning in Production: DeepLearning.AI
  • Track Marketing Goals with Google Analytics: Coursera
  • Apply AI Foundations with Python and AWS: EDUCBA
  • Master XPath Querying for XML and Automation: EDUCBA
  • MLOps | Machine Learning Operations: Duke University
  • Analyze and Automate Pivot Table Problem Solutions: EDUCBA
  • Accelerate Model Training with PyTorch 2.X: Packt
  • Introduction to Genomic Technologies: Johns Hopkins University
  • AutoML: Build ML Models without Code: Edureka
  • Preparing Text for AI Models: Coursera

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