The original address: blog.csdn.net/chszs/artic… With the emergence of data science and big data as mainstream career choices, there has been some confusion about the connotations of relevant job titles. Some people equate big data with data science, while others consider big data as a subset of data science. Data science has been around for a long time, and big data is fairly new. It comes from data science.
Here’s a comparison between data analysts, data scientists, and big data experts.
Data analyst
- define
Using automated tools, they can capture separate data and insights. They define datasets and perform extensive demographic analysis to identify strategies relevant to the business and product.
- The skills
Programming, Statistics and mathematics, machine learning, data visualization and communication technology, data processing and data set definition
- Applicable fields
Healthcare, insurance, travel, administration, gaming, distributed systems
Data scientist
- define
Acquire data, build and maintain databases, clean and separate data according to various requirements, and engage in data visualization and analysis.
- The skills
SAS/R/ similar tools, Python, Hadoop, SQL, data reconstruction, database construction and management
- Applicable fields
Search engines, advertising, adaptive algorithms, AI systems
Big data expert
- define
Processes continuous large volumes of data, defines parameters and data sets for analysis, and develops analytical systems to provide strategic insights for the enterprise.
- The skills
Mathematics and statistics, programming and computer science, analytical skills, business strategy
- Applicable fields
Retail, e-commerce, financial services, communications
As you can see, data analysis is the most fundamental of these options. The work of a data analyst has a wider range of applications, and therefore more diverse applications across different industries. Even data analysts have lower educational and academic requirements.
Then there are the big data jobs, which are quite complex and require advanced skills. Sometimes big data certification is a mandatory requirement to get a job as a big data analyst. Due to the popularity of digital technology in various industries, the scope of big data work is expanding day by day.
The most important thing is data science work. Data science certification is a prerequisite for employment. The range of data scientists is lower than big data, due to the different profiles of data science.
With this information, the differences between data analysts, data scientists, and big data experts should be clear. This information can be used to develop better career plans in the fields of data analysis and business strategy.