管理人员数据分析NBS8295Data Analytics for Managers: 课程目标: 1、开发行业所需的专业技能和技术,以实现数据分析的价值。 2、使用行业标准软件对数据进行查询、管理、分析和可视化,以识别和应对潜在的组织优势、劣势、威胁和机遇。 3、通过一系列学习活动(可能包括扩展阅读、思考、研究和实践练习)进行自主学习,以...
This course is an upgrade from Hidden Secrets of Data Analysis in Excel. The course will train you on the new Data Analytics functions added recently to Microsoft Excel and show you how to make use of them effectively for Data Analytics. At the end of the course, you will be able to co...
This is an ideal introduction to data science for managers, giving you the chance to learn about this powerful business tool. Read More Prerequisites There are no prerequisites for this course 1 Introduction to Data Science Start Chapter
Course 8: Generative AI & Prompt Engineering Course 9: Microsoft Excel Course 10: Visualizations using Power BI Additionally, Data Analyst course Capstone Projects and multiple electives will be provided to enhance your knowledge in the Data Analytics & Analyst course domain. Why become a Data Analy...
Who can apply for this Data Analytics program? Non-IT Professionals in sectors such as HR, banking, marketing, and sales, etc. BI Professionals Data Analytics Professionals Project Managers Software Developers Information Architects Freshers and Undergraduates can apply for the course as well What ...
Unlock your potential with Codebasics comprehensive Data Science, Analytics, and AI courses. Ideal for all skill levels, learn and grow your career today.
Course to start with: Get started with our SQL for Business Analysts course to boost your skills and learn to make data-driven decisions. 5. Marketing Analytics Manager There are various ways to use data science in marketing. A marketing analytics manager brings many of these functions together...
By completing all ten modules, you'll earn a professional certification, demonstrating to current employers and future hiring managers that you’ve got just the right skills to bring value to their organization. View Course Data Analytics with Power Query:Mastering ETL Skills Power Query is an...
1. Course Overview and Level Set Objectives of the Class Expectations for the Class 2. Understanding “Real-World” Data Unstructured vs. Structured Relationships Outliers Data growth 3. Types of Data Flavors of Data Sources of Data Internal vs. External Data ...