Today is an era of data speaking, and it is also an era of data competition. Everything depends on data to speak, and it is precisely because of these various reasons that the profession of data analyst has risen and the market demand is great. So, we need to first understand what a data analyst is.
A data analyst is a type of data scientist, referring to professionals in different industries who specialize in collecting, sorting, and analyzing industry data, and making industry research, evaluation, and prediction based on data.
Especially in the Internet age, there is a surplus of data, and data analysts must learn to use technical means to process data efficiently. More importantly, data analysts in the Internet age must continue to innovate and make breakthroughs in the methodology of data research. So what skills does a qualified data analyst need?
understand database
If you want to be a data analyst, you will find that almost everything uses databases to store data, such as MySQL, PostgreSQL, CouchDB, MongoDB, Cassandra, etc. Understanding the database and being able to use it proficiently will be a basic ability.
data management
Data management has to do with the structure of databases that can impose complex regulations on who has access to different pieces of information. There are many different ways to store data as efficiently as possible. A common job that requires data management skills is database administrator.
Business Intelligence
Business intelligence is the practice of collecting data to influence business decisions. At present, more than 90% of the world's top 500 companies have established data analysis departments. Well-known companies such as IBM, Microsoft, and Google are actively investing in data businesses, establishing data departments, and cultivating data analysis teams. In the U.S. election, Trump's successful campaign for president made full use of data analysis.
data analysis
"Data analysis" is the most in-demand skill for data analysts. In addition to knowing how to use specific programming languages and tools, employers need you to understand whether patterns in data make sense so you can draw accurate and actionable conclusions.
data visualization
The quality of information largely depends on how it is presented. One of the most important skills for a data scientist is to analyze the meaning contained in the data composed of numbers and visualize the results of the analysis.
Infographics, which combine data and design to visualize obscure information in an understandable form, are gaining more and more attention recently.
Finally, your chance to become a data analyst has come. The Data Analysis and Mining Course of Gami Valley College officially started on May 18. Welcome to consult and listen!
