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：预览National Taiwan University
您将获得的技能: Logistic Regression, Sampling (Statistics), Model Evaluation, Statistical Methods, Regression Analysis, Statistical Hypothesis Testing, Statistical Modeling, Statistical Analysis, R Programming, Business Analytics, Probability & Statistics
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods
您将获得的技能: Financial Analysis, Return On Investment, Portfolio Management, Financial Modeling, Portfolio Risk, Correlation Analysis, Investment Management, Variance Analysis, Asset Management
状态：预览Duke University
您将获得的技能: LLM Application, Large Language Modeling, Model Deployment, Embeddings, Application Programming Interface (API), Restful API, Natural Language Processing, Command-Line Interface, Machine Learning
状态：新状态：免费试用Packt
您将获得的技能: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Time Series Analysis and Forecasting, Data Manipulation
状态：免费试用Johns Hopkins University
您将获得的技能: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, General Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Correlation Analysis
状态：新状态：预览您将获得的技能: Data Storytelling, Data Presentation, Plotly, Matplotlib, Exploratory Data Analysis, Plot (Graphics), Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub
状态：免费试用Johns Hopkins University
您将获得的技能: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Data Ethics
状态：新状态：预览您将获得的技能: Model Evaluation, Logistic Regression, SAS (Software), Predictive Modeling, Regression Analysis, Predictive Analytics, Feature Engineering, Analytics, Statistical Methods, Data Transformation, Statistical Modeling, Statistical Analysis, Business Analytics, Estimation, Probability
状态：新您将获得的技能: JUnit, Restful API, Software Design, JSON, Software Testing
状态：免费试用您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science
状态：新状态：预览您将获得的技能: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making
总之，以下是 10 最受欢迎的 statistical inference 课程
- 商管統計資料分析三 (Analytics for Business and Management (III)): National Taiwan University
- Data Science Fundamentals Part 2: Unit 1: Pearson
- Оптимизация портфеля с помощью модели Марковица: Coursera
- Beginning Llamafile for Local Large Language Models (LLMs): Duke University
- Recommender Systems: Packt
- Honors Algebra 2: Linear and Quadratic Functions: Johns Hopkins University
- Explore and Visualize Data the Python Way: Coursera
- Household Surveys for Program Evaluation in LMICs: Johns Hopkins University
- Logistic Regression Fundamentals: Analyze & Predict: EDUCBA
- Modern Java - Mastering Features from Java 8 to Java 21: Packt
