您将获得的技能: Python 程序设计, 数据分析, 数据结构, 分子生物学, 生物信息学, 计算思维, Algorithm, 生命科学

您将获得的技能: 交互式数据可视化, 数据可视化软件, 仪表板, 商业分析, Tableau 软件, 数据预处理, 数据操作, 商业智能, 数据清理, 数据整合, 性能调整

您将获得的技能: Python 程序设计, 模型评估, 决策树学习, Scikit-learn （机器学习库）, 无监督学习, 回归分析, 监督学习, 降维, 应用机器学习, 预测建模, 逻辑回归, 功能工程, 分类算法, 机器学习

您将获得的技能: Stored Procedure, Star Schema, Microsoft SQL Servers, Database Design, Relational Databases, Data Integrity, Data Integration, SQL, Transaction Processing, Power BI, Data Warehousing, Database Management, Transact-SQL, Data Maintenance, Databases, Query Languages, Database Architecture and Administration, Performance Tuning, Database Systems, Data Management

您将获得的技能: 数据导入/导出, 文本挖掘, 数据操作, 数据结构, 统计编程, 大数据, 数据分析, 数据转换, 性能调整, 数据清理, R 语言程序设计（中文版）, 网页抓取, 应用编程接口 (API), Tidyverse（R 软件包）

您将获得的技能: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering

您将获得的技能: 概率与统计, 模型评估, 描述性统计, 数据分析, 统计推理, 数学建模, 时间序列分析和预测, 统计建模, 统计分析, 软件安装, 相关性分析, R 语言程序设计（中文版）, 预测, 数据可视化

您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures

您将获得的技能: 统计方法, 概率与统计, 数据分析, 统计推理, 统计假设检验, 统计, 统计分析, 概率分布, R（软件）, 软件安装, 统计报告, R 语言程序设计（中文版）, 抽样（统计）

您将获得的技能: 数据预处理, 张力流, 数据建模, 数据存储, Keras（神经网络库）, MLOps（机器学习 Operator）, 功能工程, 数据转换, 机器学习, 数据管道, 实时数据, 数据处理

您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings

您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning