On the self-accomplishment of a data analyst--the basic article

Write down the title of this article, immediately feel very frightened, there are a lot of data analysis great God all silently in the post, I did not make any achievements, what mercy how to write this article. Because no one writes, so many data analysts or people who are interested in doing a good job in data analysis do not know why the data analysis, what the actual work of the value generated, feel the future is very confused.

On the other hand, in the actual data analysis work, I really feel that a data analyst must have a certain degree of professionalism and industry knowledge in order to play their maximum value, some achievements to discover the beauty of data analysis, so I will my own data analysis process as far as possible to share. I am here to declare that this direction is just the way I walk, not necessarily the right direction of development, may be the right direction also need to discuss more, the amendment to become a bright avenue.

As the saying goes, the people who walk more also become the road, want to become asphalt or highways, but also need more people to contribute, also without their own groping and forward.

Preface to Here, let me say my definition of data analysts and views.

According to my current understanding, the data analyst is in the industry objective data (macro + micro) on the basis of the analysis of the existing industry, the discovery of industry trends and problems, understand the industry's strengths and weaknesses, and can more accurately predict the direction of the industry to the rational assistant decision-making personnel.

and data Mining engineers partial details (or called execution) data mining, data analyst partial macro analysis.

My advice is that data analysts must be proficient in both macro and micro data, only to know the source of the data, to be able to quweicunzhen, to recognize the real law hidden in the data. Stretch for yin and yang, a reason looms for the movement--can be found in a multitude of data rules, originally is a kind of happiness, this is the ability and value of data analysts.

Having said the definition of the data analyst, I'll analyze the basic skills that a primary data analyst should have:

1, learn simple statistical analysis--with high school mathematics knowledge level + skilled Excel operation

Primary data analysts must learn from the data to get simple statistical conclusions, basic domestic high school mathematics theory knowledge can meet this demand, in addition, with the Foundation of Excel table to intermediate operation, can be competent in the enterprise any project execution and results analysis and other factual descriptive work.

2, learn from the industry perspective of statistical analysis results--with the knowledge level of undergraduate industry + about one year actual industry position operation experience

The second basic skill is a bit more complex, and this skill is primarily a requirement for primary data analysts to have the ability to combine data and industry issues in a single analysis. Analyzing the relationship between data and facts from an industry perspective is a required course for data analysts, and non-long-term learning is unlikely to get the right insights, and I personally feel that for about a year, a data analysis intern can grow into a basic industry junior data analyst.

3, try to give a solution to the proposal-with a simple definition of the industry problem method + Time series prediction knowledge

Understanding the relationship between industry issues and data is not yet known as a qualified primary data analyst, and a qualified primary data analyst can initially define what the problem is and what the possible solution is. Here I am going to explain the book "Pyramid Principle" that the data analyst must read. It was originally a must read in the consulting industry books, is a special explanation of how people analyze the problem, define the problem, describe the problem, refine the problem, the ultimate solution to the high-value books, anyone who is interested in making their own problems easier people should read this book, I recommend to every friend to see, all say good, Also recommended to the vast number of Bo friends to see, must be your analysis to solve practical problems have a great help.

In addition to industry trend forecasts, data analysts ultimately need to report solutions to their leaders, and they need to provide solutions based on their own forecasts.

      Even if you're a junior data analyst, you can make a prediction about the future and what we might do, based on the data graph you just drew.