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DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives
Skills you'll gain: Analytics, Business Analytics, Data Analysis, Data-Driven Decision-Making, Business Intelligence, Big Data, Analytical Skills, Analysis, Data Visualization, Data Storytelling, Data Science, Statistical Analysis, Data Visualization Software, Decision Making, Data Collection, R Programming
Infosec
Skills you'll gain: Computer Security Incident Management
Skills you'll gain: Storyboarding, Wireframing, Figma (Design Software), Information Architecture, User Experience Design, User Centered Design, Prototyping, User Interface and User Experience (UI/UX) Design, Mockups, User Flows, Mobile Development, Design Elements And Principles, Data Ethics
Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots
Duke University
Skills you'll gain: Environmental Monitoring, Data Ethics, Environment, Environmental Issue, Geospatial Information and Technology, Ethical Standards And Conduct, Research, Science and Research, Data Collection, Safety and Security
Skills you'll gain: Data Wrangling, Data Cleansing, Data Analysis, Data Manipulation, Data Transformation, Data Import/Export, Exploratory Data Analysis, Predictive Analytics, Statistical Analysis, Regression Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Statistical Modeling, Machine Learning Methods, Feature Engineering, Python Programming, Data Pipelines, NumPy
Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Life Sciences, Physical Science, Process Analysis, Stress Management, Medical Science and Research
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Dimensionality Reduction, Data Cleansing, Applied Machine Learning, Data Access, Regression Analysis, Data Analysis, Machine Learning, Statistical Inference, Statistical Hypothesis Testing, Statistical Machine Learning, Data Quality, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Probability & Statistics, Predictive Modeling
Arizona State University
Skills you'll gain: Failure Analysis, Semiconductors, Manufacturing Processes, Structural Analysis, Mechanical Engineering, Thermal Management, Engineering, Process Control, Mechanics, Physical Science, Physics, Civil Engineering, Process Engineering, Product Testing, Engineering Calculations, Engineering Analysis, Electronic Components, General Science and Research
- Status: Free
University of Toronto
Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Software Design, Program Development, Integrated Development Environments, Data Structures, File Management
Amazon Web Services
Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Infrastructure as Code (IaC), Amazon DynamoDB, Amazon Web Services, Continuous Integration, DevOps, Cloud Computing, Amazon S3, Scalability, AWS CloudFormation, Cloud Infrastructure, Amazon Elastic Compute Cloud, CI/CD, Cloud Security, Devops Tools, Continuous Deployment, Application Deployment, Development Environment, MLOps (Machine Learning Operations)
Forensic Science learners also search
In summary, here are 10 of our most popular forensic science courses
- Calculus for Machine Learning and Data Science: DeepLearning.AI
- Data-driven Decision Making: PwC
- Stages of Incident Response: Infosec
- Build Wireframes and Low-Fidelity Prototypes: Google
- Data Visualization with Python: IBM
- Drones for Environmental Science: Duke University
- Data Analysis with Python: IBM
- Biochemical Principles of Energy Metabolism: Korea Advanced Institute of Science and Technology(KAIST)
- IBM Introduction to Machine Learning: IBM
- Materials Science for Technological Application: Arizona State University