Now more and more intense competition in the workplace, not to learn the twelve new skills, keep their knowledge updated, it is easy to be younger than the young. Some people choose to learn a foreign language, some people choose to deal with people the ability to learn in the workplace.
If you need to work and work with data, I believe, Python will surely become your stepping stone to promotion and pay rise.
why?
Because efficient.
Let's look at an annual salary of senior data analyst 24w-48w of jobs, the following four capabilities are more valued by employers:
Carefully combed, you will find, if not the data analyst, can have these four capabilities in the workplace for their own plus points.
Imagine a large electricity providers to promote the end of the recovery disk, others spend a lot of time to sort out the data, and you have more energy analysis positioning problems, but also to make better-looking interactive charts. Business analysis, you pull a lot of data, manual tagging chart do, not as a few lines of Python code efficient.
We resolve to a bar.
1, business insight and execution
Business insight and execution, said the popular point is how to get useful information from the mass of information.
Python can be used MySQLdb libraries connect to the database, you can use pandas and matplotlib cleaning and analysis, you can use pyecharts interactive visualization, you can use numpy and sklearn modeling, even use pyinstaller packaged workflows to colleagues, together, Improve Efficiency ......
Matplotlib call the library to quickly organize data in a few lines of code and a map
When the tool is more efficient and have more time to understand and analyze business.
2, communication power
Python also can improve communication skills?
Data Analyst belong to the business side work, the company projects with long-term exposure to customer needs. The technique is generally just end product features to achieve. Analysts grasp of Python, would be more understanding of the business side and end technology pain points where the two sides in.
3, Python and SQL
And dealing with huge data, Excel is not only economical, so most of the SQL Data Analyst jobs require skills.
SQL language entry is very simple to master the basic access data and data cleansing function after, you can get to work. Junior analyst may take a few to do local analysis, analyst efficient data will be analyzed using the Python connection to the database, make work more efficient rheology.
Using Python library pymongo tool for database query documents
4, and logical initiative
Initiative is a logical and metaphysics, career people will say that they have the initiative, but the question is how to feel your boss initiative it? such as……
Soon the transfer of data in the conversion of the downturn when the data to find the cause, and even an automatic warning written in Python script, accurately express to front-line operational staff, rather than asking your boss when it said, "I think";
Valid data collected by Python in shaping the company's new business has not yet time to establish a visual indicator system to guide the business, rather than asking your boss when it said, "I think";
Active learning, the initiative to find new effective way in curing mention data workflow, such as colleagues also found that copy and paste duplication of effort, to help my colleagues to write scripts in Python a merged file. Although the details will not ask the boss, but the initiative and logical because a person has a strong ability to show up.
Use a small tool written in Python, a few minutes to complete the merge 912 Excel spreadsheet
Want to be a "senior" data analyst, is not easy to always rest on our laurels it is not possible. Only by constantly learning and constantly thinking can do better.