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 TrialJohns Hopkins University
Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Integration, Data Manipulation, Data Transformation, Relational Databases, Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Application Programming Interface (API)
Status: FreeSkills you'll gain: Data Visualization, Matplotlib, Marketing Analytics, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Analysis, Data Wrangling, Data Cleansing, Seaborn, Content Performance Analysis, Jupyter
Status: Free TrialUniversity of California, Davis
Skills you'll gain: Ajax, Javascript and jQuery, Data Validation, JSON, Javascript, Event-Driven Programming, Web Development Tools, Object Oriented Programming (OOP), Debugging
Skills you'll gain: SQL, Database Design, Database Management, Relational Databases, Data Manipulation, Databases, Data Import/Export, PostgreSQL, Database Management Systems, Data Integrity
Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Preprocessing, Statistics, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Web Scraping, Data Integration, Data Cleansing, Data Import/Export, Data Quality, Data Preprocessing, Data Collection, Data Wrangling, Data Manipulation, SQL, MySQL, Databases, Query Languages, Pandas (Python Package), Application Programming Interface (API)
Google Cloud
Skills you'll gain: Data Cleansing, Data Compilation, Data Wrangling, Data Integration, Data Transformation, Data Manipulation, Data Preprocessing, Google Cloud Platform, Excel Formulas, Self Service Technologies
Status: Free TrialSkills you'll gain: Java, Performance Tuning, Data Structures, Machine Learning Methods, Data Processing, Data Pipelines, Data Mining, Machine Learning, Application Performance Management, Analysis, Algorithms, Loyalty Programs
Google Cloud
Skills you'll gain: Big Data, Data Cleansing, Exploratory Data Analysis, Google Analytics, Data Integration, Data Manipulation, SQL, Database Administration
Skills you'll gain: Data Manipulation, Data Pipelines, Data Transformation, Data Quality, Data Cleansing, Data Preprocessing, Data Import/Export, Extract, Transform, Load, Exploratory Data Analysis, Big Data, Google Analytics
Status: Free TrialUniversity of Colorado System
Skills you'll gain: Extract, Transform, Load, Data Modeling, Clinical Data Management, Database Design, Data Warehousing, Data Quality, Data Transformation, Data Integration, Health Informatics, Relational Databases, SQL
Skills you'll gain: Data Visualization Software, Data Wrangling, Data Manipulation, Google Cloud Platform, Data Import/Export, Data Transformation, Data Cleansing, Data Analysis, Sampling (Statistics), Course Development
Searches related to data cleaning
In summary, here are 10 of our most popular data cleaning courses
- Importing Data in the Tidyverse: Johns Hopkins University
- Clean and analyze social media usage data with Python: Coursera
- Data Manipulation in JavaScript: University of California, Davis
- Performing Data Definition and Manipulation in SQL: Coursera
- Using Descriptive Statistics to Analyze Data in R: Coursera
- Data Collection and Integration: University of Colorado Boulder
- Working with Cloud Dataprep on Google Cloud: Google Cloud
- Optimize Java Data Performance for ML: Coursera
- Troubleshooting and Solving Data Join Pitfalls: Google Cloud
- Creating a Data Transformation Pipeline with Cloud Dataprep: Google Cloud
