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Today, the editor will share with you the relevant knowledge points about the skills of using Excel. The content is detailed and the logic is clear. I believe most people still know too much about this knowledge, so share this article for your reference. I hope you can get something after reading this article. Let's take a look at it.

01. At the end of the month, the end of the quarter, the end of the year, repeated processing of data, repeated tabulation, inefficiency, looking forward to one click to import data, automatically generate reports

| how to solve the problem:

Master the general routines used by functions, more data entry skills, slicers and macros to achieve automatic analysis and report generation.

02. Conjecture conclusions, piece together evidence.

Because of the lack of scientific analysis methods, more subjective factors are incorporated into the screening, processing and analysis of data, and the original intention of data analysis is lost.

| how to solve the problem:

Learning scientific analysis methods, including statistical analysis, regression analysis, analysis of variance, etc., can effectively avoid the deviation caused by subjectivity.

03. Excel skills are at a standstill, and in the face of increasing demand for analysis, it is difficult to produce reports and dashboards to show the desired results.

| how to solve the problem:

Learn to drill down and hierarchical structure of data with powerpivot, and generate special reports for scenarios such as trend analysis, product analysis, user analysis, etc.

Cooperate with powerview+power map to generate report and make multi-meter linkage dashboard.

For beginners in data analysis, there are two common situations:

01. If the programming background is 0, it is very painful to use python directly.

| how to solve the problem:

Excel data analysis does not require programming, and it is more powerful than you can imagine.

Stop saying that excel can't do big data analysis. Power query implements the automatic cleaning process of Excel data processing, and power pivot enables Excel to handle 90% of the data types.

And raised the level of processing data to tens of millions or even hundreds of millions of levels, as long as the computer configuration can keep up.

02. Know all the technology, but when you get the project on your own, I don't know where to start.

| how to solve the problem:

Technology and methods are important, but the core is thinking.

In Excel, realize the omni-directional skills from "problem identification-disassembly and construction of complex problems-data acquisition-analysis methods and model selection-visualization-report writing" to form the self-cultivation of professional data analysts.

These are all the contents of this article entitled "what are the skills for using Excel?" Thank you for reading! I believe you will gain a lot after reading this article. The editor will update different knowledge for you every day. If you want to learn more knowledge, please pay attention to the industry information channel.

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