筛选依据
主题必需的
语言必需的
在整个课程(说明和评估)中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
“ad hoc reporting” 的结果
- 状态:免费试用
University of California, Irvine
您将获得的技能: 写作, 编辑, 撰写报告, 校对, 演讲, 语法, 新闻发布, 沟通策略, 说服沟通, 目标受众, 简明扼要, 商务信函, 商务写作, 虚拟团队, 沟通, 业务沟通, 全球营销
- 状态:免费试用
Arizona State University
您将获得的技能: Research, Data Collection, Surveys, Scientific Methods, Research Methodologies, Persuasive Communication, Data Analysis, Information Management
- 状态:预览
Tally Education and Distribution Services Private Limited
您将获得的技能: Accounts Payable and Receivable, Accounting Software, Ledgers (Accounting), Accounting, Financial Accounting, Sales Tax, Financial Statements, Bookkeeping, International Finance, Invoicing, Inventory Management System, Cash Handling, Tax Compliance, Reconciliation, Payment Systems, Banking, Corporate Tax
- 状态:新状态:免费试用
您将获得的技能: Calendar Management, Virtual Teams, Telecommuting, Team Building, Teamwork, Collaboration, Productivity, Professional Development, Time Management, Expectation Management, Organizational Change, Communication Strategies, Communication, Digital Communications
- 状态:免费试用
University of Michigan
您将获得的技能: 数据清理, 数据收集, 数据分析, 抽样(统计), 数据质量, 威胁检测, 数据处理, 数据访问, 数据验证
Coursera Project Network
您将获得的技能: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Infectious Diseases, Python Programming
- 状态:免费试用
University of Michigan
您将获得的技能: Debugging, Data-oriented programming, Python Programming, Maintainability, Data Manipulation, Data Analysis, Technical Support
总之,以下是 7 最受欢迎的 ad hoc reporting 课程
- 高效商务写作: University of California, Irvine
- Information Gathering and Vetting: Arizona State University
- Financial Business Accounting and MIS Reports : Tally Education and Distribution Services Private Limited
- Personal & Professional Development: Digital Norms for Teams: Skillshare
- 全面数据质量框架: University of Michigan
- COVID19 Data Analysis Using Python: Coursera Project Network
- Python Debugging: A Systematic Approach: University of Michigan