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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


  • L

    LearnKartS

    Become AI-Ready: Deep Learning Fundamentals

    Skills you'll gain: Generative AI, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • K

    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California, Davis

    Visual Analytics with Tableau

    Skills you'll gain: Data Visualization, Advanced Analytics, Tableau Software, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Pivot Tables And Charts, Data Mapping, Tree Maps, Analytics, Data Analysis Expressions (DAX), Histogram, Scatter Plots, Geospatial Mapping, Heat Maps, Forecasting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Minnesota

    Interprofessional Healthcare Informatics

    Skills you'll gain: Health Informatics, Health Technology, Telehealth, Interoperability, Clinical Informatics, Electronic Medical Record, Health Care, Health Information Management, Community Health, Healthcare Ethics, Dental Informatics, Public Health, Data Ethics, Geospatial Information and Technology, Data Visualization, Graph Theory

    4.4
    Rating, 4.4 out of 5 stars
    ·
    314 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Bestseller
    Bestseller
    I

    IBM

    IBM Business Intelligence (BI) Analyst

    Skills you'll gain: Dashboard, Extract, Transform, Load, Data Storytelling, Data Visualization, Database Design, Presentations, Descriptive Statistics, IBM DB2, Business Intelligence, Data Visualization Software, Tableau Software, Relational Databases, IBM Cognos Analytics, Interactive Data Visualization, Microsoft SQL Servers, Regression Analysis, MySQL, Star Schema, Forecasting, Excel Formulas

    4.7
    Rating, 4.7 out of 5 stars
    ·
    16K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • U

    Universidad de los Andes

    Fundamentals of Using Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Prompt Patterns, ChatGPT, LLM Application, Ideation, Responsible AI, Artificial Intelligence, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Content Creation, Ethical Standards And Conduct, Complex Problem Solving

    Beginner · Course · 1 - 4 Weeks

  • G

    Google

    Google データアナリティクス

    Skills you'll gain: Rmarkdown, Data Presentation, Data Ethics, Data Storytelling, Data Visualization, Data Cleansing, Stakeholder Communications, Analytical Skills, Data-Driven Decision-Making, Interactive Data Visualization, Data Visualization Software, Data Validation, Dashboard, Ggplot2, Interviewing Skills, Case Studies, Data Access, Spreadsheet Software, Data Analysis, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    614 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • 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

  • C

    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Software Versioning, Release Management, Continuous Delivery, PyTorch (Machine Learning Library), Performance Improvement, Software Testing

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    610 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Deploy Decision Platforms in Real-Time

    Skills you'll gain: Apache Kafka, Real Time Data, Performance Testing, Scalability, AI Enablement, Data Pipelines, Apache Spark, Operational Databases, Data-Driven Decision-Making, Enterprise Architecture, Anomaly Detection, System Monitoring, System Configuration, Service Level, Usability

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Implement Real-Time Face Detection with OpenCV & Python

    Beginner · Course · 1 - 4 Weeks

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1…183184185…834

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

  • Become AI-Ready: Deep Learning Fundamentals: LearnKartS
  • ML Model Development and Tracking: Hands-on Guide: KodeKloud
  • Visual Analytics with Tableau: University of California, Davis
  • Interprofessional Healthcare Informatics : University of Minnesota
  • IBM Business Intelligence (BI) Analyst: IBM
  • Fundamentals of Using Generative AI: Universidad de los Andes
  • Google データアナリティクス: Google
  • Edge AI Fundamentals: Edge Impulse
  • Optimize and Manage Your ML Codebase: Coursera
  • The Nuts and Bolts of Machine Learning: Google

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