临床研究课程可以帮助您学习研究设计、数据收集方法、统计分析和研究中的伦理考虑因素。您可以掌握招募患者、数据管理和解释临床试验结果的技能。许多课程都会介绍一些工具,如用于数据分析的统计软件、电子数据采集系统和项目管理平台,这些都有助于高效开展研究。

DeepLearning.AI
您将获得的技能: Tensorflow, Image Analysis, Computer Vision, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Supervised Learning, Data Processing
中级 · 课程 · 1-4 周

您将获得的技能: Benchmarking, Search Engine Optimization, Content Performance Analysis, Keyword Research, Marketing Analytics, Key Performance Indicators (KPIs), Performance Analysis, Web Analytics and SEO, Performance Measurement, Content Strategy, Performance Improvement, Driving engagement, Trend Analysis, Customer Insights
初级 · 课程 · 1-4 周

Goldman Sachs
您将获得的技能: Process Mapping, Operational Efficiency, Business Operations, Operations Management, Business Process, Process Analysis, Business Process Improvement, Process Improvement, Customer experience improvement, Business Technologies
混合 · 课程 · 1-4 周

您将获得的技能: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Performance Tuning, Applied Machine Learning, Natural Language Processing, Artificial Neural Networks, Deep Learning
中级 · 课程 · 1-4 周

Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures
中级 · 课程 · 1-3 个月

您将获得的技能: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scripting Languages, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Object Oriented Programming (OOP), Data Manipulation, Linear Algebra
混合 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Google Gemini, Generative AI, Google Workspace, Productivity Software, Google Cloud Platform, Workflow Management, Prompt Engineering, Enterprise Security, Research Reports, Content Development and Management
初级 · 课程 · 1-4 周

您将获得的技能: Data Governance, MLOps (Machine Learning Operations), Data Management, Google Cloud Platform, Workflow Management, Applied Machine Learning, Machine Learning, Data Pipelines, Artificial Neural Networks, Performance Tuning, Continuous Monitoring
中级 · 课程 · 1-3 个月

您将获得的技能: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Natural Language Processing, Text Mining
中级 · 课程 · 1-4 周