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: Salesforce Object Query Language (SOQL), Salesforce Development, Simple Object Access Protocol (SOAP), Systems Integration, Salesforce, Restful API, Web Services, Data Integration, Software Development Tools, Application Programming Interface (API), Real Time Data, Test Tools, Development Environment, Postman API Platform, JSON, Authentications, Web Components
您将获得的技能: Responsive Web Design, HTML and CSS, Web Design, Application Deployment, Cascading Style Sheets (CSS), Web Design and Development, Development Environment, Webpack, Animations, Javascript, UI Components, Typography
状态：免费试用LearnKartS
您将获得的技能: Google Cloud Platform, Kubernetes, Google App Engine, Cloud Storage, Load Balancing, Cloud-Native Computing, Cloud Infrastructure, Cloud Computing, Containerization, Data Storage Technologies, Virtual Machines, Cloud Security, Application Deployment, DevOps, Application Performance Management, Scalability
状态：免费试用您将获得的技能: User Interface (UI) Design, Figma (Design Software), UI Components, User Experience Design, Layout Design, Prototyping, Wireframing, Mobile Development
状态：新状态：免费试用您将获得的技能: Responsive Web Design, Cascading Style Sheets (CSS), HTML and CSS, Javascript, Web Design, Web Design and Development, Event-Driven Programming, Development Environment, Web Development, User Interface and User Experience (UI/UX) Design, Web Applications, Interactive Design, Animations, Typography, Color Theory, Web Analytics and SEO, Debugging, Data Validation
状态：预览University of Illinois Urbana-Champaign
您将获得的技能: Team Management, Team Building, Teamwork, Staff Management, Collaboration, Team Motivation, Professional Development, Leadership, Accountability, Conflict Management, Organizational Effectiveness, Leadership Development, Emotional Intelligence, Safety Culture
状态：新状态：免费试用您将获得的技能: Apache Spark, Apache Hadoop, Data Lakes, Big Data, Linux Commands, File Systems, Data Management, Command-Line Interface, Data Processing, Software Installation, Distributed Computing, System Configuration
状态：新状态：免费试用您将获得的技能: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing
状态：免费试用您将获得的技能: Network Security, Wireless Networks, Network Performance Management, Network Monitoring, Dynamic Host Configuration Protocol (DHCP), Ansible, Network Administration, Firewall, Software-Defined Networking, Network Planning And Design, Network Infrastructure, Network Protocols, Infrastructure as Code (IaC), Terraform, Configuration Management, Encryption
状态：预览您将获得的技能: z/OS, Computer Architecture, Mainframe Computing, System Programming, Computer Programming, Computational Logic, Data Storage, Job Control Language (JCL)
状态：预览Institut Mines-Télécom
您将获得的技能: Image Analysis, Digital Signal Processing, Computer Vision, NumPy, Numerical Analysis, Python Programming, Applied Mathematics
状态：免费试用您将获得的技能: Hypertext Markup Language (HTML), Responsive Web Design, Cascading Style Sheets (CSS), HTML and CSS, Web Development Tools, Web Design, Development Environment, Web Design and Development, Web Content Accessibility Guidelines, Front-End Web Development, Web Development, Web Content, Semantic Web, Integrated Development Environments, Typography
总之，以下是 10 最受欢迎的 basic statistics 课程
- Salesforce Integration With External Systems Part 1: Packt
- Tailwind CSS From Scratch - Learn by Building Projects: Packt
- GCP Computing and Storage Services: LearnKartS
- UI Design using Material Design 3: Designing a Reminder App: Coursera
- The Art of Doing - Web Development for Beginners: Packt
- Managing Professional Work Teams: University of Illinois Urbana-Champaign
- Hadoop and Spark Fundamentals: Unit 1: Pearson
- Python: Logistic Regression & Supervised ML: EDUCBA
- Advanced Network Services, Security, and Programmability: Packt
- z/Architecture Assembler Language Pt 2: Machine Instructions: IBM
