How to quickly become a data analyst?

Do you still think you have to deal with text data? The answer is: no! Entering this field, you will find that almost everything uses databases to store data, such as MySQL, Postgres, CouchDB, MongoDB, Cassandra and so on. Knowing the database and being able to use it skillfully will be a basic ability.

2. Skill 2: Master data sorting, visualization and report making.

Data collation is to convert the original data into a convenient and practical format. The practical tools are DataWrangler and R, and data visualization is to create and study the visual representation of data. Utility tools are ggvis, D3 and vega. Data report is to report data analysis and results. It is also the follow-up work of data analysts. This skill is the main skill of being a data analyst. You can help yourself learn to analyze quickly with new software.

3. Tip 3: Know how to design.

When it comes to making report results, we have to talk about the design of charts. When using charts to express the views of data analysts, understanding design directly affects the choice of graphics, layout design, color matching and so on. Only by mastering the design principle can the result be clear at a glance. Otherwise, the chart is chaotic, and the data analysis content cannot be well presented, and the analysis results cannot be effectively conveyed.

4. Skills 4: Several professional skills

Statistical skills-statistics is the basis of data analysis, and mastering the basic knowledge of statistics is the basic skill of data analysts. From data collection and sampling to concrete analysis, statistics are used in verification, exploration and prediction.

Sociological skills-From the perspective of socialization, people are social and influenced by group psychology. Without the basic skills of sociology, it is difficult for data analysts to make a reasonable explanation of market phenomena.

In addition, it is best to understand financial management knowledge and psychological investigation. These will make it easier for you to do data analysis.

5. Tip 5: Improve your personal ability.

With products, you can display data and you need to have basic analyst skills. First of all, to understand the logic behind the model, we should not simply look at it in the model, but look at it in the context of the whole project. Only by understanding the information of the data and forming a whole system can the details be done well. In addition, when dealing with data, care and patience are also essential.

Skills required to start data analysis include:

1, SQL (database):

How to get data from the database? How to get the specific data you want? These problems are the first thing you should consider, and these problems are all solved by SQL, so SQL is the most basic skill of data analysis.

2、excel

Analysts are more inclined to analyze data. When analyzing data, they need to put the data into a file, and this file is excel.

Proficient in excel common formulas, learn to make pivot tables, and draw charts for any data.

3. The basis of 3.Python or R:

The necessary item is also a plus item, which is a necessary item in the direction of data mining. Compared with tools, this language is more flexible and practical.

4. Learn a visualization tool.

If you want to develop to a higher level, the above things only account for 20% at most, and the remaining 80% are the ability to understand business, decompose goals, and learn more new skills according to data requirements.