Here comes the chicken soup! Keep this quick guide for data analysts

You are a person who loves data and wants to be ​ ​ Data Analyst ​​ Of people ？ Do you like looking for a needle in a haystack ？ Do you always wonder about all kinds of things in life and take the initiative to think ？ If the answers are all yes , Then the role of data analyst may be very suitable for you .

 

Not everyone likes the knowledge of coding and mathematical statistics , however , Explore the mystery , And presenting the information contained in these data in a simple way may be something you want to get involved in . This article will guide you through the skills required by data analysts 、 Tools and other information , To help you become a professional data analyst .

Technical ability

The role of data analyst does not require a computer or mathematical background , Even if you're not a technician , You can also get the technical skills required for this position . The following is a list of key technical skills required to be competent in the role of Data Analyst ：

1、 Programming ： You need the ability to explore and analyze large data sets , have access to PowerBI and Tableau And other data visualization tools . However , Not all companies can afford to buy these tools , therefore , The common choice is to use Python、 Intelligent analysis and other free or cost-effective data tools .Python It is the best choice for novices in coding , It's easier to master , It is the most widely used programming language in data analysis , You can use Python Quickly analyze data in various libraries in ,Python Common libraries include Pandas、Matplotlib、Seaborn、Numpy and ScikitLearn.

SQL The basic knowledge of is also very helpful , Because it allows you to control access to data from a variety of sources . If you need to write on the report platform SQL, Intelligent analysis is highly recommended , After executing the code, you can directly use the data set for visual operation .

 

2、 Tools ： Data visualization tools are the driving force behind most data analyst roles , Mastering these tools does not require you to have a technical background , Most of these tools can be done by clicking and dragging , It is important that you understand the various functions required by these tools for data analysis and Visualization . according to Gartner Of 2020 Year Magic Quadrant , The top business intelligence and analysis tools on the market are PowerBI and Tableau, You can focus on one and master , You can also learn both at the same time . There is also a domestic tool that does better , That's intellectual analysis , This tool has a free cloud version , The visual performance is very good , It has the functions required for data analysis .

Excel Is another widely used data analysis tool , But its function is underestimated , Its function is equivalent to PowerBI, because Microsoft Most of the PowerBI The function of ( Such as PowerQuery Editor ) introduce Excel.

Business / Domain knowledge ： Mastering business knowledge means you need to understand the business environment of the enterprise 、 Product competitors and insight into the future . Every data analyst must spend enough time acquiring the business related to the problem / Domain knowledge , This will give you the ability to understand problems from different perspectives and propose the best solution .

Soft skills

The data analyst has the responsibility to effectively present the results of data analysis to each of your objects , These objects may include bosses 、 Customers or employees . So you need to have some necessary soft skills , To quickly transform information into something easy to understand . Here are some of the key focus areas required for this role ：

1、 Tell a story : Your dashboard consists of all the charts and data . If only the color is bright , Easy to see , It's not enough. . Every item on the dashboard should convey a message . Within a given time frame , You must be able to clearly convey the story in the data , Your story should be concise 、 Simple 、 Accurately highlight problem areas .

2、 Introduce ：“ A picture is worth a thousand words ”, It's a popular saying that emphasizes the importance of vision . As a data analyst , You must know exactly the types of charts commonly used for various data analysis .

3、 communicate ： Having good communication skills is very important , Because you can get a lot of key information from the communication results . Questioning is one of the most important skills . If you want to be a data analyst , You must master this skill .

Job prospects

According to the statistics of the data analysis Professional Committee of the China Federation of Commerce , Only 46 ten thousand , future 3-5 In terms of annual data analysis, the talent gap will be as high as 150 ten thousand , Therefore, the job prospect of data analysts is very big , There is no doubt about it , More people will join this position in the future .

Conclusion

These are the key points of becoming a successful data analyst summarized by Xiaobian , Improve your shortcomings and master these skills , Because this is a very competitive field . Learn to use Excel、Tableau、 Intelligent analysis and other tools to develop dashboard , It will enrich your knowledge of data analysis , You have a better chance of getting a high salary when you apply for a job .