因果推理课程
因果推论课程可以帮助您学习统计技术、实验设计和观察研究方法。您可以掌握识别因果关系、分析 Data Set 和解释结果的技能，为决策提供依据。许多课程都会介绍 R、Python 等工具以及进行因果分析的专项软件，使您能够在公共卫生、经济学和社会科学等现实世界中应用这些技能。
热门因果推理课程和认证
状态：免费试用University of Colorado System
您将获得的技能: Advanced Mathematics, Mathematical Modeling, Systems Of Measurement, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability & Statistics
状态：免费试用您将获得的技能: Exploratory Data Analysis, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Regression Analysis, Supervised Learning, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Data Cleansing, Bayesian Network, Performance Tuning
状态：预览Northeastern University
您将获得的技能: Generative AI, Generative Model Architectures, Artificial Neural Networks, Deep Learning, Bayesian Network, Mathematical Modeling, Computer Vision, Estimation, Applied Mathematics, Machine Learning, Network Architecture, Probability Distribution, Calculus
状态：新状态：免费试用您将获得的技能: Amazon Elastic Compute Cloud, Continuous Deployment, Continuous Integration, Debugging
状态：免费DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 降维
状态：免费您将获得的技能: Kotlin, Software Design Patterns, Debugging
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
状态：新状态：免费试用您将获得的技能: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Data Science, Data Analysis, Statistical Modeling, Histogram, Pandas (Python Package), NumPy, Statistical Inference, Probability, Correlation Analysis
您将获得的技能: Big Data, Data Analysis, Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Statistical Inference, Machine Learning Methods, Machine Learning Algorithms
状态：免费试用您将获得的技能: Deep Learning, Data Processing, Data Manipulation, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Data Visualization Software, Pandas (Python Package), System Design and Implementation
状态：新您将获得的技能: Restful API, Software Design, JSON
状态：预览University of Illinois Urbana-Champaign
您将获得的技能: Descriptive Statistics, Statistical Inference, Sampling (Statistics), Histogram, Data Analysis, Probability & Statistics, Data Presentation, Statistical Analysis, Quantitative Research, Microsoft Excel, Statistical Methods, Probability Distribution, Graphing, Influencing
与 causal inference 相关的搜索
总之，以下是 10 最受欢迎的 causal inference 课程
- Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
- Exploratory Data Analysis & Core ML Algorithms: Packt
- Generative AI: Foundations and Concepts: Northeastern University
- AWS: Model Training , Optimization & Deployment: Whizlabs
- 深度量化: DeepLearning.AI
- Mastering Streamlined Syntax: Efficient Kotlin Coding: Coursera
- Data Science Fundamentals, Part 2: Pearson
- Statistics for Data Science with Python: EDUCBA
- Utiliser BigQuery Machine Learning pour l'inférence: Google Cloud
- Recommender Systems: An Applied Approach using Deep Learning: Packt
