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.

Universidad Austral
Skills you'll gain: Interactive Data Visualization, Data Visualization, Data Visualization Software, Dashboard Creation, Tableau Software, Dashboard, Tree Maps, Data Presentation, Data Literacy, Data Analysis, Software Installation
Beginner Ā· Course Ā· 1 - 4 Weeks

Coursera
Skills you'll gain: Content Performance Analysis, Marketing Analytics, Web Analytics and SEO, Conversion Funnel Analysis, Campaign Management, Marketing Effectiveness, Performance marketing, Digital Marketing, Marketing Automation, Data-Driven Marketing, Search Engine Optimization, Digital Analysis, Search Engine Marketing, Marketing Budgets, Performance Analysis, Cross-Channel Marketing, Digital Advertising, Customer Relationship Management (CRM) Software, Keyword Research, Media Planning
Beginner Ā· Course Ā· 1 - 3 Months

University at Buffalo
Skills you'll gain: Blockchain, Cryptography, Transaction Processing, Cryptographic Protocols, Network Protocols, Payment Systems, Distributed Computing, Virtual Environment, Data Integrity, Virtual Machines, Algorithms, Verification And Validation, User Accounts
Beginner Ā· Course Ā· 1 - 4 Weeks

Duke University
Skills you'll gain: Programming Principles, Algorithms, C (Programming Language), Computer Programming, Program Development, Problem Solving, Solution Design, Computational Logic
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Development Environment, OpenAI API, AI Integrations, Large Language Modeling, LLM Application, Generative AI, Databases, OpenAI, Artificial Intelligence, Virtual Environment, System Configuration
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning
Intermediate Ā· Guided Project Ā· Less Than 2 Hours

Imperial College London
Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation
Advanced Ā· Course Ā· 1 - 3 Months

Emory University
Skills you'll gain: Data Cleansing, Presentations, Data Presentation, Consulting, Microsoft PowerPoint, Management Consulting, Executive Presence, Business Consulting, Excel Formulas, Benchmarking, Microsoft Excel, Proposal Writing, Storytelling, Data Storytelling, Analytical Skills, Proposal Development, Lean Six Sigma, Interviewing Skills, Six Sigma Methodology, Problem Solving
Beginner Ā· Specialization Ā· 3 - 6 Months

Skills you'll gain: Apache Kafka, Performance Tuning, Amazon Web Services, Amazon Elastic Compute Cloud, Cloud-Native Computing, Data Pipelines, Event-Driven Programming, Amazon S3, Data Integration, Data Governance, Systems Architecture, Cloud Security, Scalability, DevOps, Real Time Data, Continuous Integration, Data Security, Resilience
Intermediate Ā· Course Ā· 1 - 4 Weeks

Meta
Skills you'll gain: Mobile Development, React.js, UI Components, Mobile Development Tools, Webpack, Front-End Web Development, Application Development, Dataflow, Code Reusability, Hypertext Markup Language (HTML), User Interface (UI), Event-Driven Programming, Cascading Style Sheets (CSS), Javascript, Development Environment
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Model Training, Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning, Classification Algorithms
Beginner Ā· Guided Project Ā· Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Statistical Programming, Statistical Analysis, Predictive Modeling, Predictive Analytics, Probability & Statistics, Correlation Analysis, Model Evaluation, Plot (Graphics)
Build toward a degree
Intermediate Ā· Course Ā· 1 - 3 Months