应用统计学课程可以帮助您学习数据分析、假设检验、回归技术和实验设计。您可以掌握解释 Data Set、进行预测和有效交流统计结果的技能。许多课程都会介绍 R、Python 和 Excel 等工具,这些工具支持执行统计分析和数据可视化。

您将获得的技能: Program Development, Python Programming, Jupyter, Algorithms, Engineering Calculations, Computer Programming, Mathematical Modeling, Linear Algebra, Applied Mathematics
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning
中级 · 指导项目 · 不超过 2 小时

University of California, Davis
您将获得的技能: 持续监测, 集成测试, 安全控制, 持续集成, 版本控制, Devops, 持续部署, 系统监控, Docker (软件), 自动化, CI/CD, 应用程序部署, 持续交付, GitHub
中级 · 课程 · 1-4 周

Banco Interamericano de Desarrollo
您将获得的技能: Digital Transformation, Business Transformation, Sustainability Standards, Operational Efficiency, Business Technologies, Sustainable Business, Internet Of Things, Technology Solutions, Innovation, Market Trend, Trend Analysis
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Preprocessing, Data Quality, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Embeddings, Applied Machine Learning, Exploratory Data Analysis, Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Machine Learning, AI Enablement, Machine Learning Algorithms, Artificial Neural Networks, Data Pipelines
中级 · 专项课程 · 3-6 个月

Sungkyunkwan University
您将获得的技能: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability & Statistics
混合 · 课程 · 1-4 周

GRAMMY GO
您将获得的技能: 营销分析, 打造品牌, 内容营销, 数字化营销, 趋势分析, 营销预算, 专业网络, 目标受众, 客户参与, 客户分析, 品牌战略, 品牌意识, 数字媒体战略, 营销设计, 媒体战略, 促销策略, 内容战略, 社交媒体战略, 营销策略, 预算管理
初级 · 专项课程 · 1-3 个月

Duke University
您将获得的技能: Python 程序设计, 集装箱化, 微服务, 命令行界面, 软件包和软件管理, 测试自动化, 应用机器学习, CI/CD, 数据管道, Algorithm, 云工程, AWS SageMaker, Jupyter
中级 · 课程 · 1-4 周

您将获得的技能: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis
初级 · 专项课程 · 1-3 个月

Imperial College London
您将获得的技能: 流行病学, 社会经济学, 卫生系统, 统计分析, 健康的社会决定因素, 公共卫生, 健康差异, 医疗保健, 传染病, 数据收集, 卫生政策, 健康评估, 慢性疾病
初级 · 课程 · 1-4 周

您将获得的技能: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing
中级 · 课程 · 1-3 个月