Book recommendation|Excel big data processing & analysis, which is necessary for everyone in the big data industry

"Excel Big Data Processing & Analysis" is a loose-leaf textbook in a new form. It introduces the basic operations of Excel 2016 data tables, data input, data acquisition, data sorting, data filtering, subtotaling, formulas and functions, date and time functions, and mathematics. And statistical functions, lookup and reference functions, pivot tables, visual analysis of charts, macros and VBA, applications of data analysis tools, etc.

 

Contents of "Excel Big Data Processing & Analysis":
task 1 basic operation of data table
task 2 data input
task 3 data acquisition task
4 data sorting
task 5 data screening task
6 sorting and summarizing
task 7 formula and function
task 8 date and time function
task Nine Mathematical and Statistical Functions
Task Ten Search and Reference Functions
Task Eleven Data Selection Table
Task Twelve Visual Analysis of Charts
Task Thirteen Macros and VBA

Features of the book "Excel Big Data Processing & Analysis":
    It is equipped with rich digital learning resources such as curriculum standards, micro-lesson videos, teaching plans, teaching PPT, and case materials. The digital course "Data Processing and Analysis" accompanying this book has been launched on the "Smart Vocational Education" website. You can log in to the website to learn online and download resources.    
    Professional tasks are based
    on typical professional tasks and work task arrangements in Excel data processing and analysis, combining theory with practice, and focusing on the implementation process. The content is both closely related and relatively independent.
    Taking students as the main body to design
    each task structure is reasonable, the goal is clear, the process is detailed, and the assessment indicators are specific, covering a complete learning process such as preview teaching, practice, summary, monitoring, and mutual evaluation. The task information, task planning, task implementation, task expansion, work log, and work summary in each task require learners to complete by themselves, and are designed with a 100-point system to facilitate the inspection of learners' completion of tasks.
    Applicable people
    This book can be used as a teaching material for big data technology majors in higher vocational colleges, and can also be used as a self-study reference book for those who are engaged in data processing and analysis.

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Origin blog.csdn.net/tipdm0526/article/details/131167149