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: Report Writing, Digital Transformation, Automation, Generative AI, Business Reporting, Business Process Automation, AI Enablement, Operational Efficiency, Artificial Intelligence, Data Collection, Data Analysis
Beginner · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Technical Communication, AI Enablement, Model Deployment, Generative AI Agents, Data Integration, AI Orchestration, Business Transformation, Cloud Deployment, Initiative and Leadership, Application Deployment, AI Product Strategy, Digital Transformation, Continuous Monitoring, Agentic systems, Compliance Management, Stakeholder Communications, Regulatory Compliance, Dashboard, CI/CD, Data Pipelines
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: OpenAI API, Embeddings, Dimensionality Reduction, OpenAI, Application Development, Exploratory Data Analysis, Application Programming Interface (API), Text Mining, Python Programming, Data Analysis, Data Manipulation
Intermediate · Guided Project · Less Than 2 Hours

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Statistics, Data Analysis, Regression Analysis
Mixed · Course · 1 - 4 Weeks

University of California, Irvine
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Tableau Software, Exploratory Data Analysis, Correlation Analysis, Storytelling, Data Ethics, Data Analysis, Advanced Analytics
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Treatment Planning, Data Analysis, Model Evaluation, Applied Machine Learning, Patient Treatment, AI Personalization, Machine Learning, Text Mining, Health Informatics, Medical Terminology, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing
Advanced · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Applied Machine Learning, Machine Learning Methods, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
Advanced · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Exploratory Data Analysis, R Programming, Data Manipulation, Statistical Programming, Data Analysis, File Management, Integrated Development Environments, Programming Principles, Data Science, Data Structures, Computer Programming
Beginner · Guided Project · Less Than 2 Hours