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
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Big Data, Apache Spark, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning
Status: NewStatus: Free TrialSkills you'll gain: Role-Based Access Control (RBAC), Cloud Management, Application Lifecycle Management, Capacity Management, Application Performance Management, Virtual Networking, API Gateway, Scalability, Large Language Modeling
Status: NewStatus: PreviewSkills you'll gain: Prompt Engineering, Embeddings, Transfer Learning, Large Language Modeling, Small Data, Fraud detection, Applied Machine Learning, Model Evaluation, Machine Learning, Natural Language Processing
Skills you'll gain: Apache Kafka, Real Time Data, Data Pipelines, JSON, Java, Docker (Software), Software Versioning
Status: NewGoogle Cloud
Skills you'll gain: Data Pipelines, Google Cloud Platform, Data Processing, Data Storage, Cloud Engineering, Systems Design, Data Infrastructure, Data Management, Data Architecture, Data Integration, Data Analysis, Automation
Skills you'll gain: Reconciliation, Dataflow, Google Cloud Platform, Big Data, Financial Data, Data Pipelines, Data Integration, Event Monitoring
Status: Free TrialSkills you'll gain: Data Integration, Microsoft Azure, Cloud Storage, Disaster Recovery, Data Architecture, Database Design, Data Infrastructure, Data Storage, Cloud Security, NoSQL, Encryption, Relational Databases, Scalability, Performance Tuning, Database Management, Identity and Access Management
Skills you'll gain: Graph Theory, C++ (Programming Language), Network Routing, Data Structures, Object Oriented Programming (OOP), File I/O, Computational Thinking, Algorithms
Skills you'll gain: Cloud API, Google Cloud Platform, Data Store, Medical Privacy, Application Programming Interface (API), Health Informatics, Health Information Management, Data Import/Export, Cloud Computing, Data Security, Medical Imaging
Status: Free TrialSkills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Development Environment, Distributed Computing, Performance Tuning
Status: NewStatus: Free TrialSkills you'll gain: Predictive Modeling, Data Preprocessing, Django (Web Framework), Data Visualization, Model Evaluation, Machine Learning Methods, Feature Engineering, Programming Principles, Databases, Game Design, Development Environment, Data Science, Web Applications, Animation and Game Design, Application Frameworks, Scripting, Scripting Languages, Software Design Patterns, Functional Design, Data Validation
Skills you'll gain: Data Migration, MySQL, Google Cloud Platform, Database Management, Data Pipelines, Data Storage Technologies, Operational Databases, Cloud Management, Data Management
In summary, here are 10 of our most popular data cleaning courses
- Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
- Persistent Data, Monitoring & Cost Optimization in AKS: Packt
- Zero-Shot & Few-Shot Learning: Master AI with Minimal Data: Coursera
- Kafka for Developers - Data Contracts Using Schema Registry: Packt
- Se préparer à devenir Professional Data Engineer: Google Cloud
- Reconciling Account Data with Cloud Spanner Change Streams: Google Cloud
- Designing Data Storage and Integration Solutions in Azure: Packt
- Process Map Data using C++ Adjacency List Shortest Path: Coursera
- De-identifying DICOM Data with the Healthcare API: Google Cloud
- Apache Spark with Scala – Hands-On with Big Data!: Packt
