Data Science 课程可帮助您了解如何分析数据、创建模型并评估其性能。您可以发展统计、自动学徒、数据准备和可视化方面的能力。许多课程使用最新的语言和书库,用于实践项目。

您将获得的技能: Data Storytelling, Data Ethics, Data Analysis, Data-Driven Decision-Making, Analytics, Workflow Management, Data Science, Advanced Analytics, Analytical Skills, Business Solutions, Technical Communication, Process Design, Project Management, Communication, Stakeholder Communications, Machine Learning
★ 4.7 (3905) · 高级设置 · 课程 · 1-3 个月

您将获得的技能: Data Storytelling, Data Visualization, A/B Testing, Sampling (Statistics), Data Analysis, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Data Ethics, Feature Engineering, Statistical Hypothesis Testing, Analytics, Statistical Analysis, Data Science, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Web Presence, Python Programming
★ 4.8 (1.1万) · 高级设置 · 专业证书 · 3-6 个月

Johns Hopkins University
您将获得的技能: 数据科学, 统计资料, R 程序设计, 数据分析, 数据建模, 抽样(统计), 线性代数, 统计建模, 统计方法, 统计假设检验, 概率, 应用数学, 概率与统计, 统计分析, 统计推理, 回归分析, 概率分布, 贝叶斯统计, 数学建模, 生物统计学
★ 4.4 (797) · 高级设置 · 专项课程 · 3-6 个月

Duke University
您将获得的技能: 数据管理, 微软 Azure, 负责任的人工智能, 数据分析, Python 编程, 云计算, 拥抱的脸, 模型部署, DevOps, MLOps(机器学习运营), 单元测试, 大数据, 微调, 云部署, GitHub 飞行员, AWS SageMaker, Data Management, 机器学习, NumPy, Microsoft Azure, Pandas(Python 软件包), GitHub
★ 4.2 (606) · 高级设置 · 专项课程 · 3-6 个月

您将获得的技能: A/B Testing, Sampling (Statistics), Data Analysis, Analytics, Statistics, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Probability & Statistics, Statistical Software, Advanced Analytics, Probability Distribution, Data Science, Statistical Inference, Statistical Programming, Statistical Methods, Probability, Python Programming
★ 4.8 (890) · 高级设置 · 课程 · 1-3 个月

Corporate Finance Institute
您将获得的技能: Classification Algorithms, Data Preprocessing, Feature Engineering, Data Visualization, Model Evaluation, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Presentation, Data Science, Plot (Graphics), Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Machine Learning Algorithms, Correlation Analysis, Advanced Analytics, Predictive Analytics
★ 4.8 (30) · 高级设置 · 专项课程 · 3-6 个月

University of Michigan
您将获得的技能: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Data Quality, Unstructured Data, Anomaly Detection, Machine Learning Methods, Data Science, Supervised Learning, Machine Learning, Data Preprocessing, Data Analysis, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis
★ 4.6 (18) · 高级设置 · 专项课程 · 3-6 个月

您将获得的技能: Data Modeling, Database Design, Stakeholder Engagement, Dashboard, Business Intelligence, Business Intelligence Software, Extract, Transform, Load, Dashboard Creation, Tableau Software, Databases, Data Warehousing, Stakeholder Communications, Data Visualization, Web Presence, Interviewing Skills, Business Process, Business Analysis, Professional Development, Data Analysis, SQL
★ 4.8 (8080) · 高级设置 · 专业证书 · 3-6 个月

您将获得的技能: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming
★ 4.4 (366) · 高级设置 · 专项课程 · 3-6 个月

Google Cloud
您将获得的技能: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning
★ 4.5 (1545) · 高级设置 · 专项课程 · 3-6 个月

您将获得的技能: Disaster Recovery, Star Schema, Business Continuity Planning, Cost Benefit Analysis, Database Design, Business Continuity, Data Infrastructure, Snowflake Schema, Database Architecture and Administration, Relational Databases, Data Warehousing, Data Modeling, Data Architecture, Data Validation, SQL, Terraform, Infrastructure as Code (IaC), Extract, Transform, Load, Business Analytics, Cost Management
高级设置 · 专项课程 · 3-6 个月

您将获得的技能: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
高级设置 · 专项课程 · 1-3 个月
Data Science 是一个跨学科领域,它将统计学、计算机科学和领域专业知识相结合,从数据中提取有意义的见解。它在各行各业的决策中发挥着至关重要的作用,帮助企业了解趋势、预测结果和优化流程。在当今数据驱动的世界中,分析和 Interpretation 数据的能力对于企业保持竞争力和创新力至关重要。
从事数据科学工作可以获得各种职位,包括数据分析师、数据工程师、机器学习工程师和数据科学家。这些职位在金融、医疗保健、技术和营销等行业需求量很大。每个角色都专注于数据的不同方面,从数据收集和 Cleaning 到高级解析和 Prediction Modeling,为专业人士提供了多样化的机会。
有许多在线课程可用于学习 Data Science。一些最佳选择包括IBM 数据科学专业证书(涵盖基本技能和工具)和应用数据科学专项课程(侧重于实际应用)。这些课程提供了结构化的学习路径和实践经验,帮助您建立数据科学专业知识。
是的,您可以通过两种方式免费开始在 Coursera 上学习 Data Science:
如果您想继续学习、获得 Data Science 证书或在预览或试用后解锁全部课程访问权限,您可以升级或申请经济援助。
要有效地学习 Data Science,首先要明确自己的学习目标和想要掌握的具体技能。从涵盖基本概念的基础课程开始,逐步深入到更高级的主题。参与实践项目以应用所学知识,并考虑加入在线社区或学习小组以增强学习体验。坚持练习和实际应用是掌握 Data Science 的关键。
对于培训和提高员工的数据科学技能,CertNexus Certified Data Science Practitioner Professional Certificate和Fractal Data Science Professional Certificate等课程是很好的选择。这些课程旨在提高实用技能,为数据科学打下坚实基础,适合劳动力发展。