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: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms
初级 · 课程 · 3-6 个月

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

您将获得的技能: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning
中级 · 课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Anomaly Detection, Applied Machine Learning, Network Security, Machine Learning, Unsupervised Learning, Supervised Learning, Artificial Neural Networks
中级 · 课程 · 1-3 个月

您将获得的技能: Cash Flows, Business Valuation, Financial Statement Analysis, Financial Analysis, Balance Sheet, Financial Modeling, Profit and Loss (P&L) Management, Business Metrics, Case Studies, Return On Investment, Financial Forecasting, Market Analysis, Market Dynamics
混合 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms
中级 · 课程 · 1-3 个月

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: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging
混合 · 课程 · 1-3 个月

您将获得的技能: User Experience Design, User Flows, Wireframing, UI/UX Research, User Centered Design, User Interface and User Experience (UI/UX) Design, Usability, Prototyping, Design Software
中级 · 课程 · 1-4 周

您将获得的技能: Diagram Design, Persona Development, User Accounts, Productivity Software, Strategic Thinking, Market Analysis, Marketing Communications
初级 · 指导项目 · 不超过 2 小时

Northeastern University
您将获得的技能: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing
中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Regression Analysis, Applied Machine Learning, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Analysis, R Programming, Predictive Analytics, Exploratory Data Analysis, Supervised Learning, Statistical Analysis, Correlation Analysis, Probability & Statistics, Data Manipulation, Linear Algebra, Statistical Hypothesis Testing
混合 · 课程 · 1-4 周