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.

University of Colorado Boulder
Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Data Visualization, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Data Analysis Software, Descriptive Statistics, Quality Improvement, Process Engineering
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Collection, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Extract, Transform, Load, Power BI, Data Validation, Data Transformation, Data Cleansing, Data Storage, Data Quality, Data Analysis, Data Integration, Data Storage Technologies, Business Intelligence
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Data Cleansing, Snowflake Schema, Data Quality, Data Transformation, Data Validation, Data Manipulation, Data Analysis, SQL, Big Data
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Ethics, Data Analysis, Data Literacy, Data Security, Google Sheets, Databases, Data Storage, Data Quality, Data Management, Data Collection, SQL, Data Import/Export, Metadata Management, Unstructured Data
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Ethics, Data Quality, Data Sharing, Information Privacy, Data Analysis, Informed Consent
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Extract, Transform, Load, Power BI, Data Transformation, Data Cleansing, Query Languages, Data Manipulation, Data Integration, Data Processing, Data Validation, Data Import/Export, Data Quality, Data Analysis, Data Modeling
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Processing, Data Collection, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Statistical Analysis, Data Mining, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Transformation, Data Quality, Exploratory Data Analysis, Statistical Analysis, Data Integration, Programming Principles, Python Programming, Scripting
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Ethics, Generative AI, Microsoft Copilot, Data Quality, Responsible AI, Data Cleansing, Data Processing, Data Synthesis, Data Transformation, Data Integrity, Feature Engineering, Data Validation, Personally Identifiable Information, Data Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Extract, Transform, Load, Data Integration, SQL Server Integration Services (SSIS), Data Cleansing, Data Pipelines, Data Quality, Data Migration, Data Mapping, Database Management, Data Transformation, File Management, Data Manipulation, Data Processing, Metadata Management, JSON, Extensible Markup Language (XML), Debugging
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Processing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks