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  • Data Cleaning

Data Cleaning Courses

Data cleaning courses can help you learn techniques for identifying and correcting errors in datasets, handling missing values, and standardizing data formats. You can build skills in data validation, outlier detection, and transforming raw data into a usable format. Many courses introduce tools like Python libraries such as Pandas and NumPy, as well as software like OpenRefine, that support executing data cleaning tasks efficiently and ensuring data quality for analysis.

Popular Data Cleaning Courses and Certifications


  • V

    Vanderbilt University

    Android App Components - Intents, Activities, and Broadcast Receivers

    Skills you'll gain: Git (Version Control System), Version Control, Android Development, File I/O, Android (Operating System), Android Studio, Mobile Development, Data Persistence, Java Programming, Application Development, Event-Driven Programming, Computer Programming

    ★ 4.2 (801) · Mixed · Course · 1 - 3 Months

  • I

    IBM

    Core 1: Hardware and Network Troubleshooting

    Skills you'll gain: Virtualization and Virtual Machines, Virtualization, Hardware Troubleshooting, Network Troubleshooting, Computer Hardware, Cloud Computing, Technical Support and Services, Technical Support, General Networking, End User Training and Support, System Support, Peripheral Devices, Networking Hardware, System Configuration, Data Storage, Network Administration, Network Infrastructure, Information Technology, Hardware Architecture, Configuration Management

    ★ 4.6 (207) · Advanced · Course · 1 - 3 Months

  • E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Rmarkdown, Data Presentation, Machine Learning, Model Optimization

    ★ 4.6 (13) · Mixed · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Machine Learning Algorithms, Machine Learning Methods, Data Management, Model Training, Data Import/Export, Data Pipelines, Development Environment, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Fine-tuning, Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Generative Model Architectures, LLM Application, Application Deployment, Model Training, Embeddings, Data Preprocessing

    Intermediate · Specialization · 1 - 4 Weeks

  • I

    IBM

    Designing User Interfaces and Experiences (UI/UX)

    Skills you'll gain: User Centered Design, User Experience Design, Responsive Web Design, User Interface (UI) Design, Web Design and Development, Prototyping, Front-End Web Development, Graphic and Visual Design, User Interface and User Experience (UI/UX) Design, Figma (Design Software), Design Elements And Principles, Web Design, Wireframing, Typography, Application Design, Layout Design, UI Components, Web Applications, Mobile Development, Design Thinking

    ★ 4.5 (314) · Beginner · Course · 1 - 4 Weeks

  • M

    Meta

    Meta Marketing Science Certification Exam

    Skills you'll gain: Interviewing Skills, Meta Ads Manager, Marketing Analytics, Registration, Marketing, Social Media Marketing, Digital Marketing, Data Analysis, Statistics

    ★ 4.7 (228) · Beginner · Course · 1 - 4 Weeks

  • D

    Digital Marketing Institute

    Social Media and Digital Marketing Fundamentals

    Skills you'll gain: Content Scheduling, Digital Media Strategy, Social Media Marketing, Content Marketing, Digital Marketing, Marketing, Digital Marketing Campaigns, Social Media Content, Social Media, Content Creation, Digital Content, Social Media Strategy, Cross-Channel Marketing, Digital Marketing Tools, Integrated Marketing Communications, Consumer Behaviour, Digital Transformation, Content Strategy, Customer Engagement

    ★ 4.7 (413) · Beginner · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Model Evaluation, Model Training, Data Preprocessing, Generative AI, Model Optimization, Fine-tuning, PyTorch (Machine Learning Library), Machine Learning, Image Quality

    Intermediate · Course · 1 - 4 Weeks

  • F

    Fred Hutchinson Cancer Center

    Determining AI Needs

    Skills you'll gain: Model Evaluation, Model Training, AI Personalization, AI literacy, AI Integrations, AI Product Strategy, AI Security, Artificial Intelligence, Goal Setting, Decision Making, Usability Testing, Needs Assessment, Project Planning, Resource Planning, Resource Management

    ★ 4.1 (31) · Intermediate · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Initiation à la programmation (en Java)

    Skills you'll gain: Programming Principles, Java Programming, Java, Computer Programming, Code Reusability, Data Structures, Object Oriented Programming (OOP), Computational Logic, Program Development, Problem Solving, Algorithms, Eclipse (Software)

    ★ 4.8 (435) · Beginner · Course · 1 - 3 Months

  • U

    University of California San Diego

    Genome Assembly Programming Challenge

    Skills you'll gain: Bioinformatics, Epidemiology, Graph Theory, Infectious Diseases, Program Development, Molecular Biology, Molecular, Cellular, and Microbiology, Computational Thinking, Algorithms, Software Development

    ★ 4.5 (352) · Advanced · Course · 1 - 4 Weeks

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

  • Android App Components - Intents, Activities, and Broadcast Receivers: Vanderbilt University
  • Core 1: Hardware and Network Troubleshooting: IBM
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • Introduction to Transformer Models for NLP: Pearson
  • Designing User Interfaces and Experiences (UI/UX): IBM
  • Meta Marketing Science Certification Exam: Meta
  • Social Media and Digital Marketing Fundamentals: Digital Marketing Institute
  • How to Build a Diffusion Model - An Introduction: Fractal Analytics
  • Determining AI Needs: Fred Hutchinson Cancer Center

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