Data Analysis with Python courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with datasets, interpreting results, and communicating findings effectively. Many courses introduce tools like Pandas for data handling, Matplotlib and Seaborn for visualization, and Scikit-learn for implementing machine learning algorithms. These skills and tools empower you to analyze complex data sets and derive actionable insights across various domains.

Coursera
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Apache Kafka, Real Time Data, Performance Testing, Scalability, AI Enablement, Data Pipelines, Apache Spark, Operational Databases, Data-Driven Decision-Making, Enterprise Architecture, Anomaly Detection, System Monitoring, System Configuration, Service Level, Usability
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Predictive Modeling, Predictive Analytics, Logistic Regression, Exploratory Data Analysis, Data Visualization, Data Modeling, Data Presentation, Business Analytics, Data Analysis, Statistical Modeling, Regression Analysis, Classification Algorithms, Microsoft Excel, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Coursera
Intermediate · Course · 1 - 4 Weeks

The University of Edinburgh
Skills you'll gain: Responsible AI, Data Ethics, AI Product Strategy, AI Enablement, Business Risk Management, Business Ethics, Artificial Intelligence, Risk Analysis, Regulation and Legal Compliance, Compliance Management, Governance, Stakeholder Engagement, Open Source Technology
Beginner · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Entry, Productivity Software, Data Manipulation, Expense Management, Budgeting, Inventory Management System, Data Management, Data Visualization, Data Analysis, Business Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, Multimodal Prompts, ChatGPT, AI Enablement, Generative AI Agents, Ideation, Scenario Testing, Solution Design, Software Versioning
Beginner · Course · 1 - 4 Weeks