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：预览DeepLearning.AI
您将获得的技能: Tensorflow, Deep Learning, Performance Tuning, Model Evaluation, Machine Learning Methods, Artificial Neural Networks, Debugging, Machine Learning, Algorithms
状态：免费您将获得的技能: Alteryx, Predictive Modeling, People Analytics, Scripting, R Programming, Predictive Analytics, HR Tech, Data Science, Advanced Analytics, Scripting Languages, Trend Analysis, Data Preprocessing, Data Integration, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Visualization Software, Data Analysis, Model Evaluation, Machine Learning
状态：新状态：免费试用您将获得的技能: Model Deployment, Large Language Modeling, Cloud Deployment, Data Ethics, CI/CD, Transfer Learning, Model Evaluation, Performance Tuning
状态：免费您将获得的技能: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis
状态：新状态：免费试用您将获得的技能: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction
状态：免费试用Johns Hopkins University
您将获得的技能: Social Network Analysis, Machine Learning, Natural Language Processing, Text Mining, Network Analysis, Analytics, Data Preprocessing, Unstructured Data, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
状态：预览Northeastern University
您将获得的技能: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Supervised Learning, Model Evaluation
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：新状态：预览Northeastern University
您将获得的技能: Data Storytelling, Plotly, Statistical Visualization, Interactive Data Visualization, Matplotlib, Data Visualization Software, Network Analysis, Seaborn, Data-Driven Decision-Making, Data Mining, Scatter Plots, R Programming, Graph Theory, Data Science, Time Series Analysis and Forecasting
状态：预览您将获得的技能: Google Cloud Platform, Data Infrastructure, Machine Learning, Systems Design, Data Processing, Data Pipelines, Data Architecture, Big Data, Data Warehousing, Cloud Engineering, Data Visualization, Cloud Security, Data Storage, Scalability, Data Migration, SQL
Google Cloud
您将获得的技能: Generative AI, Google Gemini, Prompt Engineering Tools, Artificial Intelligence, Machine Learning
状态：预览您将获得的技能: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Vector Databases, Model Deployment, OpenAI API, Hugging Face, Scalability, Embeddings, Generative AI, Data Integration, Data Science, Machine Learning
总之，以下是 10 最受欢迎的 statistical inference 课程
- 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
- Scripting with Alteryx: Python and R for Advanced Workflows: Coursera
- Advanced Deployment, MLOps, and Generative AI in Azure: Packt
- TensorFlow Prediction: Identify Penguin Species: Coursera
- Advanced Machine Learning, Big Data, and Deep Learning: Packt
- Artificial Intelligence in Social Media Analytics: Johns Hopkins University
- Machine Learning with Small Data Part 1: Northeastern University
- Explore and Visualize Data the Python Way: Coursera
- Computation and Visualization for Analytics Part 2: Northeastern University
- Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro: Google Cloud
