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：免费试用您将获得的技能: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering
状态：免费试用Johns Hopkins University
您将获得的技能: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms
状态：免费试用您将获得的技能: Lean Methodologies, Process Improvement, Lean Six Sigma, Statistical Process Controls, Continuous Improvement Process, Process Optimization, Quality Control, Process Capability, Employee Training, Operational Efficiency, Waste Minimization, Data-Driven Decision-Making
Google Cloud
您将获得的技能: Data Preprocessing, Model Evaluation, Applied Machine Learning, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL
Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Keras (Neural Network Library), Statistical Methods, Data Transformation, Data Modeling, Machine Learning
您将获得的技能: Equities, Finance, Financial Analysis, Financial Acumen, Financial Modeling, International Finance
状态：预览Simplilearn
您将获得的技能: Autoencoders, Generative AI, Embeddings, Generative Model Architectures, Prompt Engineering, Image Analysis, Unsupervised Learning, PyTorch (Machine Learning Library), Transfer Learning
状态：预览University of Washington
您将获得的技能: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming
状态：免费试用您将获得的技能: Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Transformation, Responsible AI, Business Intelligence, Data Quality, Machine Learning, Natural Language Processing, Model Deployment, Applied Machine Learning, Cloud API, Data Analysis, Image Analysis
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
状态：新状态：免费试用您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
状态：新状态：预览您将获得的技能: Financial Modeling, Entrepreneurial Finance, Business Valuation, Private Equity, Business Modeling, Entrepreneurship, Investment Banking, Financial Analysis, Finance, Financial Forecasting, Return On Investment, Financial Management, Balance Sheet, Financial Statements, Income Statement, Cash Flows, Excel Formulas, Microsoft Excel
总之，以下是 10 最受欢迎的 statistical inference 课程
- Exploratory Data Analysis & Core ML Algorithms: Packt
- Advanced Methods in Machine Learning Applications: Johns Hopkins University
- Improvement Techniques and Control Tools: SkillUp
- Bracketology with Google Machine Learning: Google Cloud
- Feature Engineering - 한국어: Google Cloud
- Оценка акций через модель дисконтирования дивидендов: Coursera
- Image Generation with AI Training Course: Simplilearn
- 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
- Innovating with Google Cloud Artificial Intelligence - Español: Google Cloud
- Data Science Fundamentals Part 2: Unit 1: Pearson
