Python for Data Analysis courses can help you learn data manipulation, statistical analysis, data visualization, and data cleaning techniques. You can build skills in using libraries like Pandas for data handling, NumPy for numerical data processing, and Matplotlib or Seaborn for creating informative graphs. Many courses also cover practical applications such as exploratory data analysis and predictive modeling, allowing you to apply your skills to real datasets and derive actionable insights.

University of Colorado Boulder
Skills you'll gain: SQL, Database Systems, Database Theory, Database Management, Query Languages, Database Design, Relational Databases, Database Administration, Database Application, Data Access, Data Science, Data Analysis, Data Manipulation, Data Modeling, Data Integrity
Build toward a degree
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Performance Tuning, Applied Machine Learning, Deep Learning, Vision Transformer (ViT), Tensorflow, Cloud Computing, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision
Advanced · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Scikit Learn (Machine Learning Library), Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Threat Modeling, Network Security, Threat Management, Vulnerability Management, Intrusion Detection and Prevention, Hardening, Computer Security Incident Management, Security Management, Cyber Threat Intelligence, Cyber Attacks, Incident Response, Cybersecurity, Network Protocols, Threat Detection, Bash (Scripting Language), Debugging, Linux, Interviewing Skills, Python Programming, SQL
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

New York Institute of Finance
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Statistics, Probability, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Project Controls, Project Performance, Issue Tracking, Project Management Software, Real Time Data, Stakeholder Communications, Dashboard, Data Visualization
Beginner · Course · 1 - 4 Weeks

Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Machine Learning, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Model Evaluation, Health Informatics, Artificial Intelligence, Applied Machine Learning, Data Preprocessing, Computer Vision, Feature Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Scikit Learn (Machine Learning Library), Random Forest Algorithm, Regression Analysis, Classification Algorithms, Logistic Regression, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

KodeKloud
Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Management, Data Security, Application Deployment, Personally Identifiable Information, Cloud Deployment, General Data Protection Regulation (GDPR), Continuous Deployment, Model Evaluation, Application Programming Interface (API)
Beginner · Course · 1 - 4 Weeks