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Data Quality Courses

Data quality courses can help you learn data validation techniques, data cleansing methods, and the importance of accuracy in data management. You can build skills in identifying data anomalies, implementing quality control processes, and ensuring compliance with data standards. Many courses introduce tools like SQL for data manipulation, Python for automation, and data visualization software to analyze and present clean data effectively.

Popular Data Quality Courses and Certifications


  • P

    Packt

    Excel 365 Fundamentals – Getting Started and Core Skills

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft 365, Collaborative Software, Presentations, Data Visualization, Microsoft Teams, Organizational Skills, Data Management, Data Sharing

    Beginner · Course · 3 - 6 Months

  • D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Applied Machine Learning, Responsible AI, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence, Reinforcement Learning, AI Personalization, Artificial Neural Networks, Deep Learning, Anomaly Detection, Model Optimization, Dimensionality Reduction

    ★ 4.9 (5.6K) · Beginner · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Problem-Dependent Resampling Techniques

    Skills you'll gain: Spatial Analysis, Spatial Data Analysis, Model Evaluation, Statistical Methods, Statistical Hypothesis Testing, Sampling (Statistics), Feature Engineering, Dependency Analysis, Drug Interaction, Analysis, Sample Size Determination, Analytics, Applied Machine Learning, Correlation Analysis, Data Synthesis, Machine Learning, Analytical Skills, Data Processing, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Reproducible Research

    Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Statistical Analysis, R Programming, Verification And Validation, Technical Communication, Software Documentation

    ★ 4.6 (4.2K) · Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Analyze, Engineer, and Boost AI ROI

    Skills you'll gain: Feature Engineering, Data Analysis, Return On Investment, Data Storytelling, Performance Measurement, Business Metrics, Statistical Inference

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Explore LiDAR in 3D

    Skills you'll gain: Environmental Monitoring, Spatial Data Analysis, GIS Software, Geospatial Information and Technology, Geographic Information Systems, Data Literacy, Spatial Analysis, Geospatial Mapping, Data Visualization, Environmental Science, Model Evaluation, Data Validation, Verification And Validation, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, Generative AI, Responsible AI, IBM Cloud, Data Ethics, AI Workflows, Python Programming, Software Development, Machine Learning, Data Science

    ★ 4.7 (82K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • N

    Northeastern University

    Generative AI Part 2

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Large Language Modeling, Autoencoders, Model Evaluation, Embeddings, Model Optimization, Natural Language Processing, Model Training, Bayesian Statistics, Statistical Methods, Sampling (Statistics), Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Machine Learning Methods, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Distributed Computing, Probability Distribution, Algorithms

    ★ 4.7 (2.4K) · Mixed · Course · 1 - 3 Months

  • P

    Packt

    Building AI Agents with LLMs, RAG, and Knowledge Graphs

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), LangChain, AI Orchestration, Natural Language Processing, Generative AI Agents, Agentic Workflows, Multimodal Prompts, AI Integrations, Artificial Intelligence, Agentic systems, Machine Learning Methods, Python Programming, Machine Learning, System Design and Implementation, Data Science

    Intermediate · Specialization · 1 - 3 Months

  • U

    University of Colorado System

    Business Intelligence Concepts, Tools, and Applications

    Skills you'll gain: Business Intelligence, Decision Support Systems, Data Visualization, Business Intelligence Software, Data Presentation, Interactive Data Visualization, Data Visualization Software, Performance Measurement, MicroStrategy, Operational Performance Management, Data Warehousing, Business Analytics, Dashboard, Key Performance Indicators (KPIs), Dashboard Creation, Data-Driven Decision-Making, Data Strategy, Business Systems, Business Reporting, Data Analysis

    ★ 4.5 (651) · Mixed · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Fine-tuning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Keras (Neural Network Library), Model Evaluation

    ★ 4.4 (1.1K) · Intermediate · Course · 1 - 4 Weeks

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

  • Excel 365 Fundamentals – Getting Started and Core Skills: Packt
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Problem-Dependent Resampling Techniques: 28DIGITAL
  • Reproducible Research: Johns Hopkins University
  • Analyze, Engineer, and Boost AI ROI: Coursera
  • Explore LiDAR in 3D: Coursera
  • IBM AI Developer: IBM
  • Generative AI Part 2: Northeastern University
  • Machine Learning: Clustering & Retrieval: University of Washington
  • Building AI Agents with LLMs, RAG, and Knowledge Graphs: Packt

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