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: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Model Training, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Data Analysis
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Command-Line Interface, Linux Commands, Linux, File Management, Linux Administration, File Systems, File I/O
★ 4.7 (80) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Vector Databases, Embeddings, AI Integrations, Generative AI, Artificial Intelligence, Retrieval-Augmented Generation, Scalability, Anomaly Detection, Unstructured Data
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Training, Forecasting, Financial Data, Financial Forecasting, Performance Metric, Financial Analysis, Credit Risk, AI Integrations, Applied Machine Learning, AI Workflows, Data Pipelines, Artificial Neural Networks, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AI literacy, Cybersecurity, Computer Security Awareness Training, AI Personalization, Incident Response, Mitigation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data-Driven Marketing, Drive Engagement, Driving engagement, Content Development and Management, Marketing Budgets, Brand Marketing, Paid media, Digital Media Strategy, Professional Networking, Branding, Brand Strategy, Brand Awareness, Budget Management, Promotions and Campaigns, Creative Design, Digital Marketing, Promotional Strategies, Social Media Strategy, Media Strategy, Customer Analysis
★ 4.7 (23) · Beginner · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud API, Cloud Deployment, Machine Learning, Microsoft Azure, Model Training, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API)
★ 4.5 (96) · Intermediate · Course · 1 - 4 Weeks

Peking University
Skills you'll gain: Game Theory, Social Network Analysis, Graph Theory, Network Analysis, Computational Thinking, Market Dynamics, Web Analytics and SEO, Network Model, Social Sciences, Socioeconomics, Sociology, Market Analysis, Economics, Bidding, Behavioral Economics, Analysis, Decision Making
★ 4.7 (114) · Mixed · Course · 3 - 6 Months

Google Cloud
Skills you'll gain: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Continuous Deployment, Tensorflow, Metadata Management, Model Training, Model Optimization
Advanced · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Financial Forecasting, Forecasting, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Model Evaluation, Advanced Analytics, Business Analytics, Data Storytelling, Data-Driven Decision-Making, Business Metrics, Performance Analysis, Regression Analysis, Data Science, Stakeholder Communications, Technical Communication, Model Training
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Model Optimization, Embeddings, Machine Learning Methods, Artificial Neural Networks, Deep Learning, Machine Learning, Dependency Analysis, Supervised Learning
Mixed · Course · 1 - 3 Months

Skills you'll gain: Cloud-Native Computing, Cloud Deployment, DevOps, CI/CD, Application Deployment, Cloud Development, Devops Tools, Development Environment, Continuous Delivery, Cloud Applications, Continuous Deployment, Version Control, Continuous Integration, Amazon Web Services, Platform As A Service (PaaS), Git (Version Control System), Data Persistence, Database Development, Interactive Data Visualization, Application Programming Interface (API)
Mixed · Course · 1 - 4 Weeks