数据可视化课程可以帮助您学习如何创建引人注目的图表、图形和 Dashboard,以及了解数据故事和可视化设计原则。您可以掌握解读数据趋势、选择适当的 Visualization 格式以及向不同受众有效传达见解的技能。许多课程介绍了 Tableau、Power BI 和 D3.js 等工具,这些工具支持将原始数据 Transformer 成可视化叙述,并在各个领域做出数据驱动的决策。

您将获得的技能: Pandas (Python Package), Data Visualization, Data Manipulation, Data Cleansing, Matplotlib, Text Mining, Exploratory Data Analysis, Data Analysis, Data Preprocessing, Python Programming
初级 · 指导项目 · 不超过 2 小时

SAP
您将获得的技能: 仪表板, SAP Signavio, 根源分析, 数据驱动的决策制定, 业务流程改进, 绩效衡量, 业务流程建模, SAP 解析云, 流程改进, 业务过程, 工艺设计, 数据可视化, 过程分析, 差距分析, 流程制图, ChatGPT
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: 利益相关者的参与, 沟通, 组织发展, 利益攸关方沟通, 劳动力发展, 业务沟通, 员工参与, 生成式 AI 代理, 员工培训, AI 赋能, 内部交流, 组织变革, 业务转型, 变革管理
初级 · 课程 · 1-4 周

您将获得的技能: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic
初级 · 指导项目 · 不超过 2 小时

Simplilearn
您将获得的技能: Search Engine Marketing, Google Ads, Search Engine Optimization, Marketing Strategies, Web Analytics and SEO, Marketing, Email Marketing, Marketing Analytics, Digital Marketing, Performance marketing, Marketing Psychology, Customer Relationship Management, Paid media, Campaign Management, Marketing Automation, Advertising Campaigns, Google Analytics, UI/UX Strategy, Social Media Marketing, Digital Advertising
初级 · 专项课程 · 1-3 个月

University of Maryland, College Park
您将获得的技能: Customer Retention, Loyalty Programs, Marketing Budgets, Brand Loyalty, Customer Acquisition Management, Competitive Analysis, Customer Analysis, Customer Relationship Management, Customer Insights, Marketing Channel, Marketing Analytics, Customer Engagement, Marketing Effectiveness, Digital Marketing, Social Media Campaigns, Business-To-Consumer, Cross-Channel Marketing, AI Personalization, Data Ethics, Marketing Strategies
中级 · 专项课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: C 和 C++, 可扩展性, 硬件架构, 计算机图形学, 数字信号处理, Algorithm, 分布式计算, 性能调整, 图像分析, 数据处理
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
中级 · 课程 · 1-4 周

University of Maryland, College Park
您将获得的技能: 风险管理, 威胁建模, 网络风险, 网络治理, 网络安全, 网络安全评估, 网络安全战略, 安全管理, 基础设施安全, 脆弱性评估, 安全战略, 信息隐私, 安全意识, 网络安全政策
初级 · 课程 · 1-3 个月

Amazon Web Services
您将获得的技能: Amazon CloudWatch, Amazon Web Services, Cloud Infrastructure, Cloud Security, Database Management, Cloud Services, Databases, Cloud Solutions, Amazon S3, Cloud Computing, Cloud Management, Cloud Computing Architecture, Amazon Elastic Compute Cloud, Relational Databases, Cloud Storage, AWS Identity and Access Management (IAM), Data Storage, System Monitoring, Amazon DynamoDB, Solution Architecture
初级 · 课程 · 1-4 周

O.P. Jindal Global University
您将获得的技能: Supervised Learning, Tensorflow, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Convolutional Neural Networks, Machine Learning, Deep Learning, Unstructured Data, NumPy, Classification Algorithms, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Model Evaluation
攻读学位
初级 · 课程 · 1-3 个月

您将获得的技能: Pandas (Python Package), Data Analysis, Data Manipulation, Time Series Analysis and Forecasting, Python Programming
初级 · 指导项目 · 不超过 2 小时