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: Rmarkdown, Data Visualization, Statistical Visualization, Ggplot2, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Scatter Plots, Data Wrangling, Histogram
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Warehousing, Extract, Transform, Load, Data Integration, Data Modeling, Data Architecture, Star Schema, Data Governance, Database Design, Data Mart, SQL, Relational Databases, Business Intelligence, Data Mining, Data Quality, Data Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Responsible AI, Exploratory Data Analysis, OpenAI, Data-Driven Decision-Making, Artificial Intelligence, Pandas (Python Package), Automation, Data Processing, Data Visualization Software, Descriptive Statistics
Intermediate · Course · 1 - 3 Months

Arizona State University
Skills you'll gain: Computational Thinking, Data Strategy, Unstructured Data, Data Access, Data Literacy, Data Analysis, Data Management, Data-Driven Decision-Making, Data Collection
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Jupyter, Matplotlib, Data Visualization, Pandas (Python Package), Data Manipulation, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Programming Principles, Business Analysis, Databases, Accounting, Relational Databases, Data Modeling, Python Programming, Descriptive Statistics, Statistical Machine Learning
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistics, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Interoperability, Data Transformation, Python Programming, Application Security
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Feature Engineering, Statistical Analysis, Data Analysis, Data Transformation, Exploratory Data Analysis, Unsupervised Learning, Dimensionality Reduction, Probability & Statistics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Data Import/Export, Alteryx, No-Code Development, Data Visualization, Business Analytics, Data Governance, Workflow Management, Operational Efficiency, Business Reporting, Data Cleansing, Data Manipulation, Data Transformation, Data Analysis, Data Integration, Automation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tableau Software, Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Presentation, Data Analysis Expressions (DAX), Dashboard, Transact-SQL, Data Sharing, Data Analysis, Data Integration, Data Access, Advanced Analytics, Data Modeling, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Marketing Analytics, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing, Marketing Planning, Sales Pipelines, Customer Analysis, Marketing Channel, Advertising Campaigns, Regression Analysis, Forecasting, Data Analysis, Unsupervised Learning, Key Performance Indicators (KPIs), Return On Investment
Beginner · Course · 1 - 4 Weeks