应用数据科学课程可以帮助您学习数据分析、统计建模、机器学习和数据可视化技术。您可以掌握数据 Cleaning、探索性数据分析和预测性解析方面的技能,从而从复杂的数据集中获得洞察力。许多课程都会介绍 Python、R 和 SQL 等工具,以及 Pandas 和 Scikit-learn 等库,支持在实际应用中实施数据驱动的解决方案和自动化流程。

您将获得的技能: Statistical Visualization, Scatter Plots, Histogram, Data Science, Computer Programming
初级 · 课程 · 1-3 个月

您将获得的技能: Interoperability, Medical Privacy, Clinical Data Management, Data Cleansing, Data Preprocessing, Health Informatics, Feature Engineering, Data Transformation, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Data Quality, ICD Coding (ICD-9/ICD-10), Data Processing, Health Care, Health Information Management, Data Integration, Medical Records, Medical Coding, Data Validation, Electronic Medical Record, Machine Learning
中级 · 课程 · 1-4 周

IBM
初级 · 课程 · 1-3 个月

中级 · 专项课程 · 3-6 个月

您将获得的技能: 数据分析, 模型评估, 自然语言处理, 探索性数据分析, 数据科学, 生成式人工智能, 数据可视化, 预测建模, 人工智能赋能, 功能工程, 数据操作, Model Evaluation, 负责任的人工智能, 数据伦理, 数据综合, 数据预处理
中级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Data Literacy, Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Experimentation, Research Design, Research, Peer Review, Probability & Statistics, Statistical Inference, Statistical Methods, Media and Communications
初级 · 课程 · 1-4 周
University of Illinois Urbana-Champaign
您将获得的技能: 三维建模, 摄影, 讲故事, 数据可视化, 科学可视化, 数据可视化软件, 数据故事, 可视化(计算机制图), 空间数据分析, 数据扫盲
初级 · 课程 · 1-3 个月

Politecnico di Milano
您将获得的技能: Health Policy, Economics, Policy, and Social Studies, Crisis Management, Environmental Monitoring, Policty Analysis, Research, and Development, Emergency Response, Spatial Data Analysis, Socioeconomics, Geographic Information Systems, Public Health, Public Health and Disease Prevention, Infectious Diseases, Data Science, Financial Modeling, Finance, Network Analysis, Data Collection, Stakeholder Engagement
初级 · 课程 · 1-3 个月
University of Michigan
您将获得的技能: Scikit Learn(机器学习库), 数据操作, Pandas(Python 软件包), 自然语言处理, 无监督学习, 功能工程, 文本挖掘, 分类算法, Python 编程, 监督学习, 数据预处理
中级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, Linear Algebra, Data Visualization, NumPy, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Jupyter, Data Manipulation, Classification Algorithms, Regression Analysis, Data Structures, Software Installation
初级 · 课程 · 1-3 个月

University of Pittsburgh
您将获得的技能: Apache Hadoop, Cloud Computing, Apache Spark, Web Services, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, PySpark, Cloud Applications, Cloud Platforms, Data Pipelines, Google Cloud Platform, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture
攻读学位
中级 · 专项课程 · 1-3 个月

您将获得的技能: Cost Benefit Analysis, Data-Driven Decision-Making, Health Assessment, Decision Making, Health Technology, Health Care, Pharmaceutical Terminology, Medical Terminology, Model Evaluation, Quality Assessment
中级 · 课程 · 1-4 周