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 TrialUiPath
Skills you'll gain: Data Manipulation, Robotic Process Automation, Automation, Data Cleansing, Data Integration, Data Management
Status: Free TrialMicrosoft
Skills you'll gain: Extract, Transform, Load, Data Cleansing, Power BI, Data Transformation, Data Management, Data Quality, Data Wrangling, Data Processing, Data Validation, Data Integration, Data Modeling, Data Import/Export, Data Storage
Status: Free TrialMicrosoft
Skills you'll gain: Data Analysis Expressions (DAX), Data Ethics, Data Modeling, Data Governance, Data Architecture, Database Design, Power BI, Star Schema, Information Privacy, Data Security, Data Integrity, Snowflake Schema, Relational Databases, Data Quality, Extract, Transform, Load, Data Cleansing
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Process Capability, Statistical Process Controls, R (Software), Statistical Analysis, Data Analysis Software, R Programming, Quality Control, Quality Improvement, Statistical Methods, Process Analysis, Data Transformation, Statistical Hypothesis Testing, Probability Distribution
Status: Free TrialDeepLearning.AI
Skills you'll gain: Web Scraping, Extract, Transform, Load, Data Manipulation, Data Validation, Data Processing, Data Ethics, Data Import/Export, Data Cleansing, SQL, Data Transformation, JSON, Pandas (Python Package), Generative AI, Relational Databases, Data Integrity, Unstructured Data, Application Programming Interface (API), Text Mining
Status: Free TrialDuke University
Skills you'll gain: Data Pipelines, Rust (Programming Language), Restful API, Amazon Web Services, Cloud API, Data Structures, Secure Coding, Data Processing, API Gateway, Cloud Applications, Real Time Data, Data Manipulation, Amazon S3, System Programming, Cryptography, Encryption, Python Programming, Command-Line Interface, Software Testing
Status: Free TrialUniversity of Michigan
Skills you'll gain: Data Quality, Data Cleansing, Quantitative Research, Data Validation, Data Collection, Data Processing, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics)
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Analysis, Statistical Programming, Text Mining
Status: PreviewBoard Infinity
Skills you'll gain: Data Governance, Databricks, Data Management, Metadata Management, Data Infrastructure, Data Strategy, Information Management, Data Quality, Data Security, Real Time Data
Status: Free TrialUniversity of Michigan
Skills you'll gain: Data Quality, Data Integrity, Data Validation, Quality Assurance, Data Collection, Data Processing, Data Strategy, Data Analysis, Sampling (Statistics)
Status: FreeSkills you'll gain: Power BI, Data Transformation, Data Manipulation, Data Cleansing, Feature Engineering, Data Integration, Predictive Modeling, Data Quality
Status: FreeSkills you'll gain: Data Cleansing, Data Transformation, Alteryx, Data Manipulation, Data Import/Export, Data Wrangling, Workflow Management, Scheduling, Automation, Analysis
In summary, here are 10 of our most popular data cleaning courses
- Data Manipulation in RPA: UiPath
- Data Preparation and Management: Microsoft
- Data Modeling and Architecture: Microsoft
- Stability and Capability in Quality Improvement: University of Colorado Boulder
- Data I/O and Preprocessing with Python and SQL: DeepLearning.AI
- Data Engineering with Rust: Duke University
- Measuring Total Data Quality: University of Michigan
- Wrangling Data in the Tidyverse: Johns Hopkins University
- Learn Data Governance Workflows with Databricks Tools: Board Infinity
- Design Strategies for Maximizing Total Data Quality: University of Michigan
