基础统计学课程
基础统计学课程可以帮助您学习数据收集方法、描述性统计、概率分布和假设检验。您可以培养解释数据 Set、进行调查和执行 Regression 分析的技能。许多课程都会介绍 Excel、R 和 Python 等工具，这些工具支持数据分析和结果的 Visualization。通过应用这些技能和工具，您可以有效地交流研究结果，并根据统计证据做出明智的决策。
热门基础统计学课程和认证
您将获得的技能: User Interface (UI), Interactive Design
您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality
Amazon Web Services
您将获得的技能: Amazon Web Services, Real Time Data, Control Panels
您将获得的技能: Data Preprocessing, Data Pipelines, Java Programming, Java, Data Processing, Feature Engineering, Data Import/Export, Data Cleansing, Data Quality, Model Training, Data Transformation, Data Validation, Data Integrity, Data Access, Continuous Monitoring, Apache Maven, Object Oriented Programming (OOP)
Coursera
您将获得的技能: Google Workspace, Editing, Vocabulary, Persuasive Communication
您将获得的技能: UI Components, Swift Programming, iOS Development, User Interface (UI), Mobile Development, Application Development, Interactive Design, Application Design, User Interface (UI) Design, Model View Controller, Application Programming Interface (API), Software Design, Restful API, Animations, Typography, Data Modeling
Coursera
您将获得的技能: Brand Awareness, Looker (Software), Data Storytelling, Brand Marketing, Branding, Brand Strategy, Data Integration, Brand Management, Trend Analysis, Data-Driven Marketing, Competitive Intelligence, Dashboard Creation, Promotional Strategies, Case Studies, Competitive Analysis, Performance Analysis, Marketing Strategies, Market Intelligence, Marketing Communications, Gap Analysis
您将获得的技能: Frontend Performance, Data Persistence, Web Applications, User Interface (UI), User Experience Design
Packt
您将获得的技能: Code Reusability, Open Source Technology
University of Maryland, College Park
您将获得的技能: Data-Driven Marketing, Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Digital Marketing, Digital Marketing Tools, Search Engine Marketing, Paid media, Digital Marketing Campaigns, Web Analytics, Online Advertising, Advanced Analytics, A/B Testing, Apache Hadoop, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
您将获得的技能: Information Architecture, User Experience, Content Management, Usability, UI/UX Research, Usability Testing, Design Research, User Centered Design, User Research, Statistical Analysis, Content Strategy, Goal Setting, Team Management, Sample Size Determination
您将获得的技能: Code Reusability, Infrastructure Architecture, Enterprise Architecture
总之，以下是 10 最受欢迎的 basic statistics 课程
- Advanced Android Game Development in Unity: Packt
- Getting Started with Automated Machine Learning (AutoML): Edureka
- Amazon Connect: Introduction to the Administrative Interface: Amazon Web Services
- Parse & Normalize Data for ML Pipelines: Coursera
- Power-Up Email Copy: Coursera
- Practical Apps & Interaction Patterns: Packt
- Track Brand Awareness: Coursera
- Official Recoil Tutorial Code Along - React Web Development: Packt
- Using Community Code: Packt
- Digital Marketing 2: University of Maryland, College Park
