Data manipulation courses can help you learn data cleaning, transformation techniques, and exploratory data analysis. You can build skills in using functions for data aggregation, filtering datasets, and visualizing information effectively. Many courses introduce tools like Python, R, and SQL, that support handling large datasets and performing complex analyses. You'll also explore libraries such as Pandas and NumPy, which streamline data manipulation tasks and enhance your ability to derive insights from raw data.

Coursera
Skills you'll gain: Data Visualization, Data Literacy, Data Presentation, Google Sheets, Data Compilation, Data Visualization Software, Statistical Visualization, Graphing, Spreadsheet Software
Beginner · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Dashboard Creation, Data Visualization Software, Data Visualization, Dashboard, Interactive Data Visualization, Google Cloud Platform
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Generative AI, Data Storytelling, Data Visualization Software, Data Presentation, LLM Application, Data Wrangling, Large Language Modeling
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Presentation, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Microsoft
Skills you'll gain: Data Pipelines, Databases, Extract, Transform, Load, Data Lakes, NoSQL, Data Processing, Data Architecture, Azure Synapse Analytics, Data Warehousing, Database Systems, Data Management, Microsoft Azure, Data Transformation, Database Management Systems, Data Integration, Data Governance, Data Storage Technologies, Analytics, Data Storage, Real Time Data
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Statistical Reporting, Data Analysis, Data Presentation, Data Management, Data Literacy, Management Training And Development, Technical Communication, Team Management, Workflow Management, Analytical Skills, Presentations, Team Leadership, Statistical Inference, Statistical Modeling, Statistical Methods, Data Collection, Communication
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, PySpark, Data Engineering, Data Pipelines, Data Lakes, Data Governance, Databricks, Data Manipulation, Data Transformation, Data Processing, Performance Tuning, Data Access, Real Time Data, Data Capture, Devops Tools, DevOps, Apache
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Pipelines, Big Data, Microsoft Azure, Data Processing, Data Integration, Cloud Management, Cloud Services
Advanced · Guided Project · Less Than 2 Hours

Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Statistical Visualization, Rmarkdown, Shiny (R Package), Plot (Graphics), Dashboard Creation, Dashboard, Leaflet (Software), Interactive Data Visualization, Data Presentation, R (Software), R Programming, Scatter Plots, Graphing, Box Plots, Geospatial Information and Technology, Data Science, Data Analysis
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Research Methodologies, Statistical Analysis, Data Analysis Software, Data Collection, Statistical Software, Interviewing Skills, Research Design, STATA (Software), R (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Statistical Programming, R Programming
Beginner · Specialization · 3 - 6 Months

The University of North Carolina at Chapel Hill
Skills you'll gain: Data Sharing, Data Management, Data Storage, File Management, Data Security, Information Management, Metadata Management, Records Management, Data Governance, Data Integrity, Data Persistence, Data Ethics, Version Control
Mixed · Course · 1 - 3 Months

Skills you'll gain: Data Quality, Data Cleansing, Data Pipelines, Data Processing, Data Integrity, Data Integration, Data Validation, Data Transformation, Extract, Transform, Load, Data Preprocessing, Data Mapping, Problem Management, Exploratory Data Analysis, Analysis, Data Import/Export, Continuous Monitoring, Systems Analysis, Debugging, Dependency Analysis, Risk Modeling
Intermediate · Course · 1 - 4 Weeks