定量研究课程
定量研究课程可以帮助您学习统计分析、 Research Design、数据分析和假设检验。您可以掌握 Regression Analysis、Sampling 技术和数据可视化方面的技能。许多课程都会介绍 SPSS、R 和 Excel 等工具，这些工具有助于分析数据集和得出有意义的结论。您还将探索进行实验和调查的方法，使您能够在社会科学、市场研究和公共卫生等各个领域应用定量技术。
热门定量研究课程和认证
状态：新状态：预览Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
状态：预览Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Applied Machine Learning, Machine Learning Methods, Large Language Modeling, Artificial Neural Networks, Embeddings, Text Mining
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: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
状态：新状态：预览您将获得的技能: Business Valuation, Financial Analysis, Financial Modeling, Financial Statement Analysis, Investment Banking, Mergers & Acquisitions, Corporate Finance, Interviewing Skills, Real Estate, Benchmarking, Microsoft Excel
状态：免费试用University of Colorado Boulder
您将获得的技能: Mathematics Education, Survey Creation, Simulations, Research, Experimentation
状态：新状态：免费试用您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning
状态：预览您将获得的技能: Tensorflow, Model Deployment, Data Pipelines, Keras (Neural Network Library), Google Cloud Platform, Data Preprocessing, Cloud Deployment, Embeddings, Feature Engineering, Deep Learning, Artificial Neural Networks, Model Evaluation, Machine Learning
状态：新状态：免费试用您将获得的技能: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
状态：新状态：免费试用您将获得的技能: Model Evaluation, Regression Analysis, Applied Machine Learning, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Analysis, R Programming, Predictive Analytics, Exploratory Data Analysis, Supervised Learning, Statistical Analysis, Correlation Analysis, Probability & Statistics, Data Manipulation, Linear Algebra, Statistical Hypothesis Testing
状态：新状态：免费试用您将获得的技能: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity
状态：预览Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Large Language Modeling, Text Mining
总之，以下是 10 最受欢迎的 quantitative research 课程
- Statistical Learning for Engineering Part 2: Northeastern University
- Attention Mechanism - 한국어: Google Cloud
- Data Science Fundamentals Part 2: Unit 1: Pearson
- Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
- Comparable Company Analysis: Apply, Evaluate & Excel: EDUCBA
- A Turma Toda com Simulações PhET para Educação STEM: University of Colorado Boulder
- Learning Deep Learning: Unit 3: Pearson
- Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
- Data Science Fundamentals Part 2: Unit 2: Pearson
- Linear Regression with R: Build & Optimize: EDUCBA
