Exploratory Data Analysis courses can help you learn data visualization techniques, statistical summaries, and data cleaning methods. You can build skills in identifying patterns, detecting anomalies, and interpreting results to inform decision-making. Many courses introduce tools like Python, R, and Tableau, which facilitate the analysis and presentation of data insights, allowing you to effectively communicate findings and support data-driven strategies.

Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Responsible AI, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Computing, Cloud Storage, Generative AI, Infrastructure As A Service (IaaS), Generative Model Architectures, Big Data, LLM Application, AI literacy, Data Analysis, Data Science, Business
★ 4.7 (107K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SQL, Database Development, Databases, Debugging, Maintainability, Procedure Development
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: SQL Server Reporting Services, Microsoft SQL Servers, Business Reporting, Business Intelligence, Report Writing, SQL, Interactive Data Visualization, Code Reusability, Data Visualization, Microsoft Development Tools
Mixed · Course · 1 - 3 Months

Skills you'll gain: Security Controls, Security Management, Data Security, System Configuration, Security Awareness, Project Management Software, Identity and Access Management, Multi-Factor Authentication, Authentications
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Package and Software Management, Data Science, Exploratory Data Analysis, Computer Programming, Mathematical Software
★ 4.7 (82) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, MLOps (Machine Learning Operations), Software Visualization, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Regression Analysis, R (Software), Statistical Programming, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Model Evaluation, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics, Statistical Hypothesis Testing
★ 4.8 (1.8K) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Statistical Methods, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Training, MLOps (Machine Learning Operations), System Monitoring, Continuous Monitoring, Model Deployment, Verification And Validation, Performance Metric, A/B Testing, Statistical Methods, Failure Analysis, Statistical Hypothesis Testing, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking
Intermediate · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods
★ 4.8 (5.6K) · Mixed · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Fine-tuning, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Model Training, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression
★ 4.5 (4.2K) · Intermediate · Professional Certificate · 3 - 6 Months