The data analyst will be ruined without project experience. These 8 project resources will not be taken away

How to understand the skill needs of data analysts

To understand the skill needs of a position , There is a simple way , That is to go to the recruitment website .

If your learning goal is to find a job , Look at the job requirements on the job search website . This is the most direct . It's also Start with the end Methods .

Pay attention to several points when reading ：

1. See more ： The recruitment requirements of different companies are mixed , Just looking at the recruitment needs of several companies may not get the core needs , Even mislead you . Take a look at the recruitment needs of dozens or hundreds of representative companies . As the saying goes Familiar with 300 tang poems , If you can't sing poetry, you can also sing .

2. bold ： Recruitment companies often ask you to build an atomic bomb , Screw in . Therefore, the recruitment requirements are usually very high , Be bold , Don't be afraid. . Those must require 3 Years of experience and other needs do not care , As long as you have technology , Project experience , They'll want you .

3. Use your brain ： The data analysis we are talking about here . Let me give you an assignment first ： Let's analyze the dozens of data analysis jobs ：

• What are the different types of jobs ？ It's all about data analysis , But the types are different
• What are the core requirements ？ Arrange the order according to the demand . for instance ：python, sql, excel etc. .
• What is the salary demand range ？ We need to determine the city first .
• Write a data analysis post data analysis report . send it to me , I give red envelopes , Only give the best analysis before 5 Hey .

After such a general analysis , You must have a deep understanding of this position . If you are lazy to analyze , You should think it over again , Are you suitable for this position ？

You might say , But I haven't learned any skills yet ！ It's not my fault ！

Analysis depends on brain and diligence , We have both , Or both .

You can be a good data analyst without any technology （ Not necessarily efficient ）, All technologies will , You can only be a tool person without using your brain .

Have a brain , People are diligent , Coupled with data analysis, energy conservation , That must make you a very good data analyst , And become a data scientist .

Skill requirement

First realize that data analysis is not equal to Python, If some training institutions exaggerate Pytohn, Or put Python Equivalent to data analyst , It's probably irresponsible to cut leeks .

Tell the truth , I also need leeks to make a little money , But only the right leeks are harvested , Because every leek is my friend . So from time to time, I will persuade some people who want to learn from me . Not suitable for my course , Or expect too much of my course , I will dissuade .

Look at the picture above ,Python Just one of many branches , But it is indeed a very important branch .

Now come on , One by one ：

1. Theoretical support ： Everyone can do some data analysis , Just like the task I assigned you earlier , You can do it right away . But you have to pass the interview , To become a professional data analyst , It still needs some theoretical support . For example, a complete data analysis process may include data collection , Storage , cleaning , Integrate , Transformation , classification , clustering , forecast , Association analysis and other steps . At the same time, statistical knowledge such as probability theory is also advanced , Interview and pretend B Must have .

2. Data base ： Or a data trial , In this respect, we may all have . Whether you are a data analyst or not , You'll probably use Excel etc. . It is not difficult to learn the common data formats a little . such as CSV,JSON,XML etc. .

3. Then learn a programming language that is easy to use for data analysis . The main candidate is Python and R. Of course, I recommend Python 了 , Because it is more widely used .

Python The most important is the three piece set of data analysis ：numpy, pandas and matplotlib, Learn again on this basis Seaborn Class library . Of course Python The foundation is a must . In addition, learning the relevant class libraries of office automation can do a lot of data analysis . Reptile technology is also important , Because data can be collected .

4. database ： A little more data will not be saved in ordinary files , It will be saved in the database . So database is more important than a programming language . Because there is no programming language, you can do a lot of data analysis . The database aspect includes 2 Let's have a part ： One is SQL And database basics , Second, master a database management system . such as MySQL.

5. Next you need some practical experience . There are two categories here , One is project experience , Do some data analysis projects with practical business value ; Second, industry experience , For example, you want to go to an e-commerce company for an interview , You need to know the common data of e-commerce industry , Common application scenarios . The figure also lists Kaggle, This is a competition website for data analysis . For those who have no practical experience , Go here to find your experience .

6. Next, advance and expand . Including common methods of machine learning , For learning Python For people who sklearn Don't know . This part is very difficult , It belongs to advanced . And that is Tableau Tools such as , It is not , With the foundation in front , You can learn it soon , Tools ！

About Python Technology reserve

Learn from good examples Python Whether it's employment or sideline, it's good to make money , But learn to Python Still have a learning plan . Finally, let's share a complete set of Python Learning materials , For those who want to learn Python Let's have a little help ！

One 、Python Learning routes in all directions

Python All directions are Python Sort out the common technical points , Form a summary of knowledge points in various fields , The use of it is , You can find the corresponding learning resources according to the above knowledge points , Make sure you learn more comprehensively .

Two 、 Learning software

If a worker wants to do a good job, he must sharpen his tools first . Study Python Common development software is here , It saves you a lot of time .

3、 ... and 、 Getting started video

When we were watching videos to learn , You can't just move your eyes and brain without hands , A more scientific way to learn is to use them after understanding , At this time, the hand training program is very suitable .

Four 、 Practical cases

Optical theory is useless , Learn to knock together , Do it , Can you apply what you have learned to practice , At this time, we can make some practical cases to learn .

5、 ... and 、 Interview information

We learn Python Must be to find a well paid job , The following interview questions are from Ali 、 tencent 、 The latest interview materials of big Internet companies such as byte , And the leader Ali gave an authoritative answer , After brushing this set of interview materials, I believe everyone can find a satisfactory job .

This full version of Python A full set of learning materials has been uploaded CSDN, Friends can scan the bottom of wechat if necessary CSDN The official two-dimensional code is free 【 Guarantee 100% free 】