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.

Skills you'll gain: Data Modeling, Power BI, Data Wrangling, Data Manipulation, Database Design, Data Transformation, Dashboard, Data Integration, Star Schema, Relational Databases, Data Cleansing, Data Processing
Beginner · Course · 1 - 4 Weeks

Chegg Skills
Beginner · Course · 1 - 4 Weeks

MathWorks
Skills you'll gain: Datamaps, Data Science, Spatial Data Analysis, Data Processing, Data Preprocessing, Machine Learning, Geographic Information Systems, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Model Training, Data Cleansing, Regression Analysis, Classification Algorithms
★ 4.9 (14) · Beginner · 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 Mapping, Microsoft Azure, Data Transformation, Data Pipelines, Extract, Transform, Load, Dataflow, Data Processing, Data Integration, Data Storage, Cloud Storage
★ 4.8 (8) · Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Presentation, Team Management, Analytical Skills, Presentations, Team Leadership, People Management, Statistical Inference, Statistical Modeling, Statistical Methods, Communication, Model Evaluation
★ 4.6 (3.4K) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Architecture, Distributed Computing, Data Modeling, Scalability, Data Management, Data Strategy, Data Pipelines, Software Architecture, Semantic Web, Continuous Deployment, Information Architecture, CI/CD, Maintainability, AI Enablement, Organizational Structure, AI Integrations, Product Automation, Interoperability, Data Analysis, Generative AI
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Cleansing, Rmarkdown, Data Storytelling, Data Presentation, Data Validation, Spreadsheet Software, Data Visualization, Data Ethics, Tableau Software, Data Visualization Software, Data Analysis, Google Sheets, R (Software), Ggplot2, Analytical Skills, Stakeholder Communications, Presentations, Data Quality, Data Collection, Case Studies
★ 4.9 (4.1K) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Preprocessing, Supervised Learning, Model Optimization, Feature Engineering, Pandas (Python Package), Data Wrangling, Exploratory Data Analysis, Data Quality, Model Training, Applied Machine Learning, Data Processing, Data Manipulation, Statistical Machine Learning, Data Transformation, Classification And Regression Tree (CART), Data Cleansing, Data Pipelines, Machine Learning, Data Modeling, Data Architecture
Intermediate · Specialization · 3 - 6 Months

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
★ 4.6 (274) · Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Generative AI, Generative Model Architectures, Business Analytics, Analytics, Data Quality, Process Analysis, Business Analysis, Data Integration, Data Ethics, Quality Improvement, Responsible AI, Artificial Intelligence, Data Analysis, LLM Application, Machine Learning
★ 4.6 (85) · Beginner · Course · 1 - 4 Weeks