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: Amazon Web Services, AWS Identity and Access Management (IAM), Amazon S3, Information Architecture, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, Multimodal Prompts, Responsible AI, Embeddings, Prompt Engineering, AI Security, Autoencoders, Vision Transformer (ViT), Model Deployment, Image Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Microsoft Copilot, Microsoft Power Automate/Flow, Microsoft Power Platform, Microsoft 365, AI Enablement, Threat Detection, Compliance Management, AI Security, Workflow Management, Automation, Incident Response
Intermediate · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Universidad Austral
Skills you'll gain: Supervised Learning, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms, Linear Algebra, Regression Analysis
Beginner · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Reinforcement Learning, Theoretical Computer Science, Supervised Learning, Classification Algorithms, Model Evaluation, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Deep Learning, Decision Tree Learning, Algorithms, Convolutional Neural Networks, Network Architecture
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Microsoft Power Platform, Dashboard, Data Modeling, Business Intelligence, Microsoft Excel, Data Visualization Software, Microsoft Copilot, Data Integration, Data-Driven Decision-Making, Performance Reporting, Data Transformation, Data Cleansing, ChatGPT
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Forecasting, Time Series Analysis and Forecasting, Statistical Methods, Predictive Modeling, Data Preprocessing, Automation, Anomaly Detection, Data Transformation, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Prompt Engineering, Development Environment, Large Language Modeling, Text Mining, Databases, OpenAI, Semantic Web, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Informatics, Clinical Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Version Control, Integrated Development Environments
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
Mixed · Course · 1 - 4 Weeks