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。

您将获得的技能: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Data Preprocessing, Pandas (Python Package), Heat Maps, Data Manipulation, Seaborn, Histogram, Scatter Plots, Matplotlib, Exploratory Data Analysis, Applied Machine Learning, Data Visualization Software
混合 · 课程 · 1-4 周

Microsoft
您将获得的技能: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Exploratory Data Analysis, Data Analysis, Data Cleansing
初级 · 课程 · 1-4 周

Empower School of Health
您将获得的技能: Healthcare Project Management, Internet Of Things, Cybersecurity
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

您将获得的技能: Deep Learning, Applied Machine Learning, Artificial Intelligence, Computer Vision, Image Analysis, Natural Language Processing, Model Evaluation, Exploratory Data Analysis, Interactive Data Visualization, Performance Tuning, Data Import/Export
初级 · 课程 · 1-3 个月

Arizona State University
您将获得的技能: Exploratory Data Analysis, Decision Making, Unstructured Data, Data-Driven Decision-Making, Data Literacy, Data Management, Solution Design, Data Analysis, Needs Assessment, Requirements Analysis
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Decision Tree Learning, Credit Risk, Random Forest Algorithm, Feature Engineering, Financial Modeling, Logistic Regression, Data Analysis, Statistical Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Classification Algorithms
混合 · 课程 · 1-4 周

Coursera
您将获得的技能: Exploratory Data Analysis, R Programming, Data Manipulation, Statistical Programming, Data Analysis, File Management, Integrated Development Environments, Programming Principles, Data Science, Data Structures, Computer Programming
初级 · 指导项目 · 不超过 2 小时

Northwestern University
您将获得的技能: Robotics, Machine Controls, Mechanics, Torque (Physics), Automation Engineering, Mathematical Modeling, Engineering Analysis, Engineering Calculations, Structural Analysis, Mechanical Design, Numerical Analysis, Applied Mathematics, Trigonometry, Control Systems, Linear Algebra, Visualization (Computer Graphics), Spatial Analysis
中级 · 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

您将获得的技能: Dashboard, Kibana, Google Cloud Platform, Cloud Computing, Data Import/Export, Financial Data, Mainframe Computing, Dataflow, Big Data, Exploratory Data Analysis, SQL, Data Analysis
初级 · 项目 · 不超过 2 小时

LearnQuest
您将获得的技能: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Analysis, Data Literacy, No-Code Development, Data Science, Predictive Modeling, Data Ethics, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Integrity, Data Cleansing, Applied Machine Learning, Data Governance, Data Collection, Data Integration
中级 · 课程 · 1-4 周