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.

Johns Hopkins University
Skills you'll gain: Ggplot2, Plot (Graphics), Data Visualization, Statistical Visualization, Data Visualization Software, Exploratory Data Analysis, Data Presentation, R (Software), Tidyverse (R Package), R Programming, Graphing, Data Wrangling, Data Manipulation
★ 4.7 (20) · Mixed · Course · 1 - 3 Months

University of Pittsburgh
Skills you'll gain: Data Storytelling, Data Presentation, Plot (Graphics), Data Visualization, Matplotlib, Interactive Data Visualization, Data Visualization Software, Seaborn, Statistical Visualization, Graphing, Data Analysis, Graphic and Visual Design, Python Programming
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Data Visualization, Statistical Visualization, R (Software), Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Data Wrangling, Data Processing, File Management, Software Installation
★ 4.7 (309) · Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Graph Theory, Data Structures, Java Programming, Java, Object Oriented Design, Software Design, Algorithms, Theoretical Computer Science, Code Reusability, Object Oriented Programming (OOP), Network Routing, Application Design, Application Development
★ 4.8 (1.2K) · Intermediate · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Javascript and jQuery, jQuery, Data Validation, Javascript, Event-Driven Programming, Application Programming Interface (API), Object Oriented Programming (OOP)
★ 4.8 (69) · Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Data Modeling, Data Transformation, Data Processing, Data Warehousing, Data Preprocessing, Apache Hadoop, Extract, Transform, Load, Data Pipelines, Apache Spark, Feature Engineering, Star Schema, Applied Machine Learning, Real Time Data
★ 4.5 (97) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Professional Networking, Interviewing Skills, Data Analysis, Presentations, Relationship Building, Job Analysis, Writing, Portfolio Management, Oral Expression, Company, Product, and Service Knowledge, Market Opportunities
★ 4.7 (788) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Pipelines, Apache Airflow, Data Integration, Cloud Deployment, Dataflow, Extract, Transform, Load, Cloud Computing, Data Infrastructure, Data Processing, Data Warehousing, Maintainability
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Generative AI, Data Ethics, AI Enablement, Responsible AI, Data Synthesis, Model Training
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Microsoft Azure, Cloud Security, Data Security, Network Security, Cloud Applications, Role-Based Access Control (RBAC), Application Security, Microsoft SQL Servers, Cloud Development, Security Controls, Firewall, Database Architecture and Administration, Relational Databases, Cloud Management, Key Management, Identity and Access Management, Threat Detection, Encryption
★ 4.5 (20) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Data Import/Export, NumPy, Time Series Analysis and Forecasting, Business Reporting, Data Wrangling, Jupyter, Data Visualization, Microsoft Excel, Plot (Graphics), Data Transformation, Data Analysis, Data Cleansing, Data Preprocessing, Analytics, Performance Reporting, Data Processing, Python Programming
★ 4.8 (23) · Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Data-Driven Decision-Making, Regression Analysis, Data Science, Statistical Inference, Predictive Analytics, Rmarkdown, Statistical Methods, Applied Machine Learning, Model Evaluation, Machine Learning
★ 4.7 (10) · Mixed · Course · 1 - 3 Months