混合式学习课程
混合式学习课程可以帮助您学习教学设计、有效的评估策略以及整合在线和面对面教学的技巧。您可以培养创造引人入胜的学习体验、利用多媒体资源和促进学生之间合作的技能。许多课程都会介绍学习管理系统（LMS）、视频会议软件和互动平台等工具，展示这些技术如何增强混合式学习环境并支持多样化的学习需求。
热门混合式学习课程和认证
您将获得的技能: 描述性统计, 数据存储技术, PySpark, 分布式计算, Machine Learning 方法, 数据存储, Apache Spark, 数据科学, 数据预处理, 机器学习, 模型评估, 应用机器学习, 大数据, 统计方法, 机器学习算法, 数据处理
状态：免费试用Board Infinity
您将获得的技能: Angular, Node.JS, Full-Stack Web Development, HTML and CSS, JavaScript Frameworks, User Interface (UI), Application Deployment, Application Frameworks, Back-End Web Development, Front-End Web Development, Hypertext Markup Language (HTML), MongoDB, User Interface (UI) Design, Web Design, Middleware, Bootstrap (Front-End Framework), jQuery, Javascript, Databases, Cascading Style Sheets (CSS)
状态：免费试用您将获得的技能: Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Applied Machine Learning, Python Programming, Fraud detection, Unsupervised Learning, Data Preprocessing, Model Evaluation, Performance Tuning
您将获得的技能: Data Cleansing, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Advanced Analytics, Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Machine Learning
状态：预览Georgia Institute of Technology
您将获得的技能: 以人为本的设计, 设计策略, 设计师, 音乐, 多媒体, 可用性测试, 设计思维, 设计研究
状态：免费试用University of Colorado Boulder
您将获得的技能: Python 程序设计, 分类算法, 卷积神经网络, 数据科学, 探索性数据分析, Scikit-learn （机器学习库）, 深度学习, Keras（神经网络库）, 递归神经网络 (RNN), 机器学习, 自动编码器, 无监督学习, 人工神经网络, 决策树学习, 机器学习算法, 监督学习, 降维, 模型评估, 生成对抗网络 (GAN), 应用机器学习
状态：免费试用Case Western Reserve University
您将获得的技能: 压力管理, 积极倾听, 文化 Transformer, 生理学, 领导力培养, 建立关系, 情绪商数, 自我意识, 人才发展, 管理团队, 培训, 组织领导力, 同理心, 个人发展, 同情心, 变革管理, 神经学
您将获得的技能: Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Statistical Methods, Dimensionality Reduction, Algorithms, NumPy, Python Programming
状态：新状态：免费试用您将获得的技能: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
Google Cloud
您将获得的技能: 预测建模, Apache Spark, 应用机器学习, 数据预处理, 大数据, Google 云端平台, 逻辑回归, 模型评估
状态：预览您将获得的技能: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Performance Metric, Data Analysis, Agile Methodology, Project Management, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, R Programming, Data Visualization
总之，以下是 10 最受欢迎的 blended learning 课程
- 使用 Apache Spark 在大数据上进行可扩展机器学习: IBM
- Learning MEAN Stack by Building Real world Application: Board Infinity
- Building Recommender Systems with Machine Learning and AI: Packt
- Regression Analysis for Statistics & Machine Learning in R: Packt
- 交互式学习工具的声音和声效设计: Georgia Institute of Technology
- 机器学习：理论与 Python 上机实践: University of Colorado Boulder
- 鼓舞人心的对话教练式学习、领导力和变革: Case Western Reserve University
- Cluster Analysis and Unsupervised Machine Learning in Python: Packt
- Deep Learning with ANN in Python: Build & Optimize: EDUCBA
- Natural Language Processing - Deep Learning Models in Python: Packt
