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Results for "python for genomic data science"
Coursera Project Network
Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Python Programming
- Status: Free Trial
University of Amsterdam
Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, R Programming
- Status: NewStatus: Preview
Fractal Analytics
Skills you'll gain: Threat Modeling, Enterprise Architecture, Application Security, Security Controls, Real Time Data, Generative AI Agents, Interoperability, Systems Architecture, Security Strategy, Agentic systems, Generative AI, Servers, Computer Programming
- Status: Free Trial
Google Cloud
Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, Neurology, R Programming, Radiology, Data Processing, Scientific Visualization, Data Analysis Software
- Status: Free Trial
University of Colorado Boulder
Skills you'll gain: Data Presentation, Data Cleansing, Predictive Analytics, Predictive Modeling, Business Analytics, Analytics, Financial Analysis, Advanced Analytics, Data Analysis, Technical Communication, Data Processing, Data Manipulation, Statistical Modeling, Regression Analysis, Business Communication
- Status: Free Trial
Skills you'll gain: Cloud Development, Microsoft Azure, Cloud Storage, Data Storage, Serverless Computing, Software Development, Cloud Security, Virtual Machines, Data Storage Technologies, CI/CD, Continuous Deployment, Development Environment, Cloud Management, Application Deployment, Cloud Applications, Data Security, Cloud Computing, Microsoft Power Automate/Flow, Event-Driven Programming, C# (Programming Language)
- Status: NewStatus: Free Trial
Skills you'll gain: Prompt Engineering, Large Language Modeling, OpenAI, AI Personalization, Cost Management, Performance Tuning, Generative AI, Artificial Intelligence, Applied Machine Learning, Natural Language Processing
- Status: Free Trial
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric
- Status: Free Trial
Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation
Coursera Project Network
Skills you'll gain: ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Image Analysis, Machine Learning Methods, Data Import/Export, Test Data, Machine Learning, Python Programming, Performance Tuning, Artificial Neural Networks, Data Processing, Deep Learning
- Status: Free Trial
LearnQuest
Skills you'll gain: Time Series Analysis and Forecasting, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Matplotlib, Forecasting, Statistical Analysis, Predictive Modeling, Predictive Analytics, Supply Chain, Data Analysis, Pandas (Python Package), Machine Learning, Python Programming
In summary, here are 10 of our most popular python for genomic data science courses
- Deep Learning with PyTorch : Image Segmentation : Coursera Project Network
- Inferential Statistics: University of Amsterdam
- Model Context Protocol (MCP) Mastery: Fractal Analytics
- Feature Engineering: Google Cloud
- Introduction to Neurohacking In R: Johns Hopkins University
- Advanced Business Analytics Capstone: University of Colorado Boulder
- Microsoft Azure Developer Associate (AZ-204) Exam Prep: Microsoft
- Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
- Supervised Machine Learning: Classification: IBM
- Introduction to Neural Networks and PyTorch: IBM