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.

Kennesaw State University
Skills you'll gain: Internet Of Things, Cybersecurity, Cyber Security Strategy, Cyber Security Policies, Security Awareness, Wireless Networks, Information Privacy, General Networking, Data Security, Emerging Technologies, Cyber Security Assessment, Vulnerability Assessments
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), File I/O, Object Oriented Design, Java, Java Programming, File Management, Application Development, Programming Principles, Data Structures, Data Management, Integrated Development Environments
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Target Market, Sales Strategy, Marketing Planning, Marketing, Sales Process, Sales, Marketing Strategy and Techniques, Marketing Analytics, Digital Marketing, Brand Management, Market Opportunities, Market Research, Business Metrics, Customer Analysis
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Apache Airflow, Docker (Software), Git (Version Control System), Data Pipelines, Containerization, CI/CD, Debugging, Ansible, Continuous Deployment, Database Management, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, SQL, Automation, Configuration Management, Root Cause Analysis, Python Programming
Intermediate · Specialization · 3 - 6 Months

Columbia University
Skills you'll gain: Computer Vision, Image Quality, Image Analysis, Computer Graphics, 3D Modeling, Photography, Virtual Reality, Visualization (Computer Graphics), Medical Imaging, Artificial Neural Networks, Unsupervised Learning, Graph Theory, Dimensionality Reduction, Mathematical Modeling, Estimation, Machine Learning Algorithms, Color Theory, Algorithms, Automation Engineering, Electronic Components
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Visualization, Data Visualization Software, Data Presentation, Interactive Data Visualization, Data Literacy, Visualization (Computer Graphics), Javascript, Data Analysis, Microsoft Visual Studio
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Workflow Management, Make.com, Social Media Content, Instagram, ChatGPT, AI Workflows, Prompt Engineering, Content Creation, Social Media Marketing, Google Docs, Social Media, Social Media Management, Social Media Strategy
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Portfolio Management, Plotly, Data Visualization, Portfolio Risk, Investment Management, Exploratory Data Analysis, Financial Modeling, Financial Analysis, Statistical Analysis, Financial Data, Risk Modeling, Market Data, Finance, Equities, Data Analysis, Pandas (Python Package), Python Programming, Data Manipulation
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Visualization, Dashboard, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Medical Billing, Patient Registration, Revenue Cycle Management, Billing, Health Systems, Medicare, Health Policy, Healthcare Industry Knowledge, Health Care, Insurance, Administration
Beginner · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Supply Chain Planning, Demand Planning, Customer Demand Planning, Supply Chain Management, Supply Chain, Capacity Planning, Production Planning, Materials Management, Forecasting, Performance Measurement, Microsoft Excel, Data-Driven Decision-Making, Statistical Methods, Key Performance Indicators (KPIs), Data Analysis, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science
Beginner · Course · 1 - 4 Weeks