精算学课程
精算学课程可以帮助您学习风险评估、统计建模、金融数学和保险原理。您可以掌握数据分析、预测建模和评估各种情况下的金融风险的技能。许多课程都会介绍 R、Excel 和专项精算软件等工具，这些工具有助于分析数据并在保险和金融领域做出明智的决策。
热门精算学课程和认证
状态：免费试用Howard University
您将获得的技能: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis
状态：预览University of Pennsylvania
您将获得的技能: 数据结构, Algorithm, 计算机硬件, 计划发展, 计算思维, Python 程序设计, 调试, 面向对象编程（OOP）, 解决问题, 伪代码, 分析, 计算机编程
状态：免费试用Johns Hopkins University
您将获得的技能: Linux 命令, 数据管理, 分子生物学, 命令行界面, 大数据, 数据处理, 文件管理, 生物信息学, Unix 命令, 数据分析软件, Unix
状态：免费试用Universidad de Palermo
您将获得的技能: Responsible AI, Predictive Modeling, Business Transformation, Data-Driven Decision-Making, Business Leadership, Data Science, Business Ethics, Business Analytics, Organizational Change, Innovation, Strategic Leadership, AI Security, Artificial Intelligence, Natural Language Processing, Machine Learning, Computer Vision, IT Service Management
状态：免费试用University of Michigan
您将获得的技能: Histogram, Generative AI, Model Evaluation, Data Literacy, Data Visualization, Data Presentation, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Data Ethics, Experimentation, Data Science, Data-Driven Decision-Making, Research Design, Statistical Visualization, AI Enablement, Artificial Intelligence
状态：免费试用Duke University
您将获得的技能: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Exploratory Data Analysis, Image Analysis, Data Science, Data Transformation, Data Manipulation, Big Data, Performance Tuning, Python Programming, Data Import/Export
状态：免费试用Rice University
您将获得的技能: Timelines, Ancient History, Scientific Methods, World History, Anthropology, General Science and Research, Environment, Spatial Analysis, Research, Culture, Geospatial Information and Technology, Data Collection, Biology
状态：新状态：免费试用Birla Institute of Technology & Science, Pilani
您将获得的技能: Theoretical Computer Science, Applied Mathematics, Algorithms, Cryptography, Relational Databases, Data Management
状态：免费试用American Psychological Association
您将获得的技能: Public Policies, Compassion, Psychology, Mental Health, Resilience, Personal Development, Cultural Diversity, Empathy, Mindfulness, Relationship Building, Goal Setting, Research
您将获得的技能: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling
状态：新状态：免费试用您将获得的技能: Plotly, Model Evaluation, NumPy, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Probability & Statistics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Performance Tuning
状态：预览Johns Hopkins University
您将获得的技能: Data Science, Data Literacy, Project Design, Data Analysis, Data Management, Data Presentation, Data-Driven Decision-Making, Business Analytics, Performance Metric, Machine Learning, Statistical Inference
总之，以下是 10 最受欢迎的 actuarial science 课程
- Linear Algebra for Data Science Using Python: Howard University
- 解决问题的计算思维: University of Pennsylvania
- 基因组数据科学的命令行工具: Johns Hopkins University
- Data Science & Inteligencia Artificial aplicados a negocios: Universidad de Palermo
- Understanding Data: Navigating Statistics, Science, and AI: University of Michigan
- Data Science with NumPy, Sets, and Dictionaries: Duke University
- Introduction to Archaeology : Archaeology as Science: Rice University
- Discrete Mathematics for Computer Science and Engineering: Birla Institute of Technology & Science, Pilani
- Positive Psychology: The Science of Happiness: American Psychological Association
- Essential Causal Inference Techniques for Data Science: Coursera
