
Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Validation, Data Analysis Software, Data Analysis, Statistical Analysis, Financial Analysis, Data Management
Beginner Ā· Course Ā· 1 - 4 Weeks

Universitat PolitĆØcnica de ValĆØncia
Skills you'll gain: Pandas (Python Package), Matplotlib, Seaborn, Data Visualization, Data Visualization Software, Time Series Analysis and Forecasting, Statistical Visualization, Box Plots, Statistical Analysis, Exploratory Data Analysis, Data Analysis, Data Manipulation, Scatter Plots, Histogram, Data Structures, Python Programming
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Visualization
Beginner Ā· Course Ā· 1 - 3 Months
Skills you'll gain: Responsible AI, Data Ethics, Data Storytelling, Presentations, Technical Communication, Artificial Intelligence, Stakeholder Communications, Ethical Standards And Conduct, Case Studies, Accountability, Risk Mitigation, Governance, Design, Stakeholder Analysis, Risk Management, Project Documentation
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Cloud Deployment, Cloud Development, Microsoft Azure, Cloud Storage, Data Storage, Serverless Computing, Software Development, Cloud Security, Virtual Machines, Data Storage Technologies, Continuous Deployment, Development Environment, Cloud Management, Application Deployment, Cloud Applications, Virtualization and Virtual Machines, Data Security, Microsoft Power Automate/Flow, Event-Driven Programming, C# (Programming Language)
Intermediate Ā· Professional Certificate Ā· 3 - 6 Months

Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance
Intermediate Ā· Course Ā· 1 - 4 Weeks

Coursera
Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Data-oriented programming, Statistical Programming, Data Analysis Software, Data Analysis, Data Science
Beginner Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, AI Workflows, Generative Model Architectures, Model Deployment, Hugging Face, Programming Principles, Computer Programming, Transfer Learning, Application Deployment, Context Management, Embeddings, User Interface (UI), Model Evaluation, Vector Databases, Debugging, Software Installation
Intermediate Ā· Specialization Ā· 3 - 6 Months

Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting
Intermediate Ā· Course Ā· 1 - 4 Weeks

The State University of New York
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Correlation Analysis, Probability & Statistics, Descriptive Statistics, Statistical Inference, Software Installation
Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Responsible AI, Risk Analysis, Risk Management, Generative AI, Root Cause Analysis, Data-Driven Decision-Making, Analysis, Strategic Decision-Making, Trend Analysis, Scenario Testing, Strategic Thinking, Data Ethics, Strategic Planning, Artificial Intelligence
Intermediate Ā· Course Ā· 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics
Intermediate Ā· Course Ā· 1 - 4 Weeks