统计推理课程
统计 Inference 课程可以帮助您学习假设检验、置信区间、Regression 分析和数据分析。您可以掌握分析 Sampling 样本数据、进行 Prediction 预测以及对更大 Population 得出结论的技能。许多课程都会介绍 R 和 Python 等用于统计编程的工具，以及用于数据 Visualization 的软件，从而提高您有效应用统计方法的能力。
热门统计推理课程和认证
状态：新状态：免费试用您将获得的技能: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
您将获得的技能: Correlation Analysis, Portfolio Risk, Portfolio Management, Investments, Financial Analysis, Financial Market
状态：免费试用LearnQuest
您将获得的技能: Exploratory Data Analysis, Teradata SQL, JSON, Data Integration, Advanced Analytics, Data Cleansing, Text Mining, Data Quality, Data Analysis, Statistical Analysis, Application Programming Interface (API), Database Management, Natural Language Processing
您将获得的技能: Exploratory Data Analysis, Model Evaluation, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Matplotlib, Random Forest Algorithm, Machine Learning, Data Visualization, Decision Tree Learning, Artificial Neural Networks, Deep Learning, Python Programming
状态：预览您将获得的技能: Google Gemini, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Model Deployment, AI Workflows, Cloud Infrastructure, Data Preprocessing, Machine Learning, Feature Engineering, Natural Language Processing, Model Evaluation
状态：免费Johns Hopkins University
您将获得的技能: Algorithms, Responsible AI, Policy Analysis, Social Justice, Public Policies, Diversity Awareness, Data Ethics, Machine Learning
状态：新状态：免费试用Board Infinity
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning
状态：免费试用您将获得的技能: Model Evaluation, Classification Algorithms, Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Random Forest Algorithm, Feature Engineering, Logistic Regression, Data Manipulation
状态：预览Universidad Austral
您将获得的技能: Tensorflow, Deep Learning, Performance Tuning, Model Evaluation, Artificial Neural Networks, Data Preprocessing, Machine Learning Algorithms, Machine Learning
状态：免费试用您将获得的技能: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib
状态：免费试用Fundação Instituto de Administração
您将获得的技能: Marketing Analytics, Data Visualization, Sales Strategy, Marketing Strategies, Digital Media Strategy, Data Visualization Software, Customer Engagement, Analytics, Consumer Behaviour, Market Analysis, Regression Analysis, Statistical Analysis, Exploratory Data Analysis, Pandas (Python Package), Decision Tree Learning, Decision Making, Logistic Regression, Artificial Neural Networks
状态：免费试用Johns Hopkins University
您将获得的技能: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, AI Security, Machine Learning
总之，以下是 10 最受欢迎的 statistical inference 课程
- Advanced Machine Learning with R: Apply & Predict: EDUCBA
- Диверсификация портфеля с помощью корреляционной матрицы: Coursera
- Teradata: Building Analytics Systems: LearnQuest
- Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
- Introduction to AI and Machine Learning on GC - Português: Google Cloud
- Exploring Algorithmic Bias as a Policy Issue: A Teach-Out: Johns Hopkins University
- Java in Machine Learning: Board Infinity
- Intermediate Data Manipulation and Machine Learning: Packt
- Optimización de Redes Neuronales Profundas: Universidad Austral
- Recommender Systems: An Applied Approach using Deep Learning: Packt
