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.

Board Infinity
Skills you'll gain: Inventory and Warehousing, Supply Chain Management, Business Continuity, Forecasting, Predictive Analytics, Logistics, Automation, Logistics Management, Real Time Data, Risk Mitigation, Risk Management, Case Studies, Business Ethics, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, OpenAI API, Application Deployment, ChatGPT, AI Security, Serverless Computing, Cloud Applications, Model Deployment, LLM Application, Generative AI, Web Applications, Artificial Intelligence, Web Development Tools, Real Time Data
Intermediate · Course · 1 - 3 Months
Google Cloud
Skills you'll gain: Data Ethics, Google Cloud Platform, Applied Machine Learning, Image Analysis, Responsible AI, Machine Learning, Model Evaluation, Data Strategy, Data Governance, AI Enablement, Innovation, Feasibility Studies, Business Analysis, Model Deployment
Beginner · Course · 1 - 3 Months

Skills you'll gain: Hugging Face, LLM Application, LangChain, Large Language Modeling, OpenAI, Natural Language Processing, Generative AI Agents, ChatGPT, Responsible AI, Embeddings, Application Programming Interface (API), Text Mining, Restful API, Agentic systems, Open Source Technology, Data Preprocessing, MLOps (Machine Learning Operations), Python Programming, Model Evaluation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Patterns, AI Enablement, AI Personalization, LLM Application, Ideation, Solution Design
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, OpenAI API, LangGraph, Model Deployment, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Generative Model Architectures, CI/CD, Embeddings, Text Mining, Containerization, Restful API, Open Source Technology, Data Preprocessing, Docker (Software)
Intermediate · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
Beginner · Specialization · 3 - 6 Months
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Model Evaluation, Estimation, Data Analysis
Mixed · Course · 1 - 4 Weeks
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Intermediate · Specialization · 3 - 6 Months

Intermediate · Course · 1 - 3 Months