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。

您将获得的技能: User Experience Design, Design Reviews, Prototyping, User Experience, Interaction Design, Mockups, Peer Review, UI/UX Research, Wireframing, Design Software, Collaborative Software
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining, Natural Language Processing
中级 · 课程 · 1-4 周

您将获得的技能: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
混合 · 课程 · 1-4 周

您将获得的技能: Data-Driven Decision-Making, Regression Analysis, Logistic Regression, Scatter Plots, Data Analysis, Predictive Analytics, Analytics, Business Analytics, Predictive Modeling, Minitab, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Hypothesis Testing, Correlation Analysis, Microsoft Excel, Model Evaluation
混合 · 课程 · 1-4 周

University of Maryland, College Park
您将获得的技能: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Keyword Research, Google Analytics, Digital Marketing, Search Engine Marketing, Paid media, Web Analytics, Online Advertising, Digital Advertising, A/B Testing, Marketing Automation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Customer experience improvement
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
混合 · 课程 · 1-4 周

您将获得的技能: Experience Design, Design Strategies, Service Design, Customer experience improvement, User Experience Design, Customer Engagement, UI/UX Strategy, User Interface and User Experience (UI/UX) Design, Design Research, Customer Insights, Business Analysis, Process Mapping, Cross-Functional Collaboration, Business Strategy, Stakeholder Engagement, Product Strategy, Prioritization, Ideation
初级 · 课程 · 1-3 个月

您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Data Preprocessing, Text Mining, Recurrent Neural Networks (RNNs), Deep Learning, Model Evaluation, Tensorflow
混合 · 课程 · 1-4 周

Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Large Language Modeling, Text Mining
中级 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Mathematics Education, Survey Creation, Simulations, Research, Experimentation
中级 · 课程 · 1-3 个月

您将获得的技能: Tensorflow, Data Preprocessing, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Cleansing, Data Transformation, Scalability, Data Pipelines, Deep Learning, Artificial Neural Networks, Model Evaluation
中级 · 课程 · 1-3 个月