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.

Skills you'll gain: Web Scraping, Data Visualization, Data Preprocessing, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Extensible Markup Language (XML), Python Programming, Jupyter, GitHub
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Apache Hadoop, Big Data, Database Design, Data Processing, Distributed Computing, Scalability, Data Pipelines, Data Warehousing, Query Languages, Data Cleansing, Data Transformation, Data Management, Analytics, Business Intelligence
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Data Preprocessing, Exploratory Data Analysis, Data Cleansing, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Preprocessing, AWS SageMaker, Data Cleansing, Apache Spark, Extract, Transform, Load, Data Pipelines, Data Transformation, Amazon Web Services, Responsible AI, Data Quality, Data Integrity, Amazon S3, Personally Identifiable Information, Data Security
Intermediate · Course · 1 - 4 Weeks

Vanderbilt University
Skills you'll gain: Data Storytelling, Data Presentation, Data Synthesis, Microsoft Excel, Infographics, Data Visualization, Data Analysis, Data Cleansing, ChatGPT, Data Integration, Data Transformation, Data Validation, Exploratory Data Analysis, Prompt Engineering, LLM Application, Data Quality, Generative AI
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: SAS (Software), Data Import/Export, Data Manipulation, Predictive Modeling, Statistical Analysis, SQL, Logistic Regression, Regression Analysis, R (Software), Data Analysis, Pandas (Python Package), Excel Macros, Statistical Hypothesis Testing, Software Installation, Data Cleansing, System Configuration
Beginner · Course · 3 - 6 Months

Skills you'll gain: Data Analysis Expressions (DAX), Customer Insights, Power BI, Dashboard, Data Modeling, Data Transformation, Data Import/Export, Interactive Data Visualization, Business Intelligence, Time Series Analysis and Forecasting, Data Visualization Software, Data Cleansing, Trend Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks