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
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Cloud Security, Emotional Intelligence, Stakeholder Management, Risking, Data Ethics, Data Governance, Data Security, Enterprise Architecture, Executive Presence, Professional Development, AI Enablement, AI Product Strategy, Infrastructure as Code (IaC), Financial Forecasting, Systems Architecture, Application Deployment, Continuous Deployment, Terraform, Incident Management, Performance Tuning
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Selenium (Software), White-Box Testing, Scalability, Software Testing, Web Applications, Test Automation, Test Script Development, Automation, Scenario Testing, Maintainability, Hypertext Markup Language (HTML)
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Dashboard, Data Modeling, Data Import/Export, Interactive Data Visualization, Microsoft Power Platform, Data Cleansing, Business Intelligence, Data Transformation, Data Visualization Software, Data Sharing, Role-Based Access Control (RBAC), Security Strategy, Key Performance Indicators (KPIs)
Beginner · Course · 1 - 3 Months

Logical Operations
Skills you'll gain: Business Reporting, Microsoft Access, Report Writing, Microsoft Excel, Data Presentation, Business Intelligence Software, SAP Applications, Data Analysis Software, Business Intelligence, Data Analysis, Microsoft Office
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Responsible AI, Risking, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, AI Enablement, AI Product Strategy, System Monitoring, Model Evaluation, Performance Tuning, Compliance Management, Technology Roadmaps, Prompt Engineering, Machine Learning, Risk Management, Generative AI, Data-Driven Decision-Making, Performance Analysis, Statistical Analysis, Cross-Functional Collaboration
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Model Evaluation, Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Data Quality, Data Transformation, Data Cleansing, Model Deployment, Applied Machine Learning, Failure Analysis, Data Pipelines, Tensorflow, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Ethics, Responsible AI, LLM Application, Operations Research, Strategic Thinking, Strategic Decision-Making, Business Strategy, Apache Kafka, Large Language Modeling, Real Time Data, AI Enablement, Performance Testing, Prompt Engineering, Business Analytics, Operational Analysis, Reinforcement Learning, Technical Communication, Inventory Management System, Supply Chain, General Data Protection Regulation (GDPR)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Transformation, Unstructured Data, Feature Engineering, Predictive Analytics, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Natural Language Processing, Data Wrangling, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Sheets, Data Visualization, Spreadsheet Software, Data Presentation, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Statistics, Excel Formulas, Data Cleansing, Mathematical Software
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Data Pipelines, MLOps (Machine Learning Operations), Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Model Evaluation, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Predictive Modeling, Software Engineering, Applied Machine Learning, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Intermediate · Specialization · 1 - 3 Months