医学统计学课程可以帮助您学习数据分析技术、研究设计原则、假设检验和临床试验结果的解释。您可以掌握分析患者数据、了解流行病学方法以及应用统计软件解决实际健康问题的技能。许多课程都会介绍 R、SAS 或 SPSS 等工具,这些工具支持有效地执行统计分析和实现健康数据的可视化。

Google Cloud
您将获得的技能: Google Gemini, Gemini, Big Data, Data Analysis, Exploratory Data Analysis, AI Enablement, Data Preprocessing, Generative AI, Data Visualization Software
初级 · 课程 · 1-4 周

您将获得的技能: Content Performance Analysis, Facebook, Digital Advertising, Advertising Campaigns, Web Analytics, Advertising, Driving engagement, Target Audience, Marketing, Social Media Marketing, Social Media
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Matplotlib, Data Visualization Software, Data Structures, Data Manipulation, Pandas (Python Package), NumPy, Exploratory Data Analysis, Python Programming, Data Preprocessing, Scripting, Scripting Languages
初级 · 课程 · 1-4 周

Novartis
您将获得的技能: Health Disparities, Health Equity, Diversity Training, Clinical Trials, Clinical Research, Diversity Awareness, Clinical Research Ethics, Diversity Equity and Inclusion Initiatives, Cultural Diversity, Medical Science and Research, Cultural Sensitivity, Informed Consent, Social Determinants Of Health, Healthcare Ethics
初级 · 课程 · 1-4 周

Amazon Web Services
您将获得的技能: Customer experience improvement, Customer Relationship Management, Customer Insights, Customer Service, Trend Analysis, Employee Performance Management, Text Mining, System Implementation
混合 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram
混合 · 课程 · 1-4 周

您将获得的技能: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming
初级 · 指导项目 · 不超过 2 小时

University of Colorado Boulder
您将获得的技能: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis
中级 · 课程 · 1-3 个月

您将获得的技能: Data Visualization Software, Data Wrangling, Data Manipulation, Google Cloud Platform, Data Import/Export, Data Transformation, Data Cleansing, Data Analysis, Sampling (Statistics), Course Development
初级 · 项目 · 不超过 2 小时

Google Cloud
您将获得的技能: Big Data, Data Cleansing, Exploratory Data Analysis, Google Analytics, Data Integration, Data Manipulation, SQL, Database Administration
初级 · 项目 · 不超过 2 小时

Northeastern University
您将获得的技能: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Pseudocode, Computational Thinking, Bayesian Network, Data Structures, Graph Theory, Machine Learning Algorithms, Classification Algorithms, Network Analysis, Probability, Probability & Statistics
混合 · 课程 · 1-3 个月

您将获得的技能: Data Manipulation, Data Pipelines, Data Transformation, Data Quality, Data Cleansing, Data Preprocessing, Data Import/Export, Extract, Transform, Load, Exploratory Data Analysis, Big Data, Google Analytics
中级 · 项目 · 不超过 2 小时