As a love data analysis through student efforts to get the favorite offer, and is by many students strive to achieve common goals in one. Along the way, I put my experience to write down in accordance with the time line, interspersed with my experience at the same time recording their work, hoping to give music.brothers want to enter the data analyst's job a little bit small harvest.
First, the four-year undergraduate, mathematical modeling first met, fell in love with statistics
Grew particularly fond of math, college entrance 146, freshman particular logical attended the school of mathematical modeling contest, then until junior year, to participate in various mathematical modeling competition, also in the race, I met a good friend of my life - - my teammates. Mathematical modeling of students took first prize in Sichuan Province, sophomore, junior took first prize in the American Mathematical Contest in Modeling. I want to go directly to guide the data of the road, is the statistical basis for the repair of my sophomore year curriculum, the teacher speaks particularly good, explain sample class, sampling these concepts, I listened with great interest, but also the time, the concept of big data fire up slowly, I bought a book was the most fire - "the era of big data." At that time, the first time I heard that beer and diapers story. Then, Internet Baidu big data era, Okay, say industry thriving, strong demand for talent, Okay, brother has come, in any case, into the arms of big data!
At that time the basic knowledge of statistics is still there, SPSS will give skilled use, because the data modeling contest, learn a little matlab, sas, but I still have not quite understand the whole (brother but is responsible for modeling and writing papers Okay!) then also SQL absolutely no idea.
Second, security research, go to the Information Management
Junior summer camp participated in a lot of security research, regarded as fate, he came to the HIT School of Management Science and Engineering The following information management graduate, into a full Internet rhetoric environments.
At that time, Alibaba's dream is to go to work, the reason is very simple, close to home, massive, super valuable electronic business data, greatly Ma, waiting for me!
Particularly Kenichi course, that well first class! Over the past more than a year, almost all of the course content I have forgotten (embarrassing). Only two course listen carefully, and one of our strong teacher leaves Dean data mining, curriculum recommendations is "data mining concepts and technologies," Han Wei teacher to write, get big industry ah, data analysis, data mining industry entry books ah! Then know that the k-means clustering, neural networks, association rules algorithms these Niubi Hong Hong, ah, do these data probably do it, it sounds like there is a little excited about it! The second is Ge Hong, senior teacher of statistics, the basic method of solid statistical learning again again, correlation analysis, regression analysis, time series, multivariate regression, logistics regression, and then once every two weeks on board experiment, take data with SPSS, Excel analysis, the actual operation of the data analysis.
Third, learning, accumulation, trap, progress
We graduate to do this job, according to analysts or less (but we call professional information management, to companies such as SAP ERP is king whoops feed). Only search online.
First of all, I know that the Chinese statistical network, this is a good site on technology, the basics of business statistics, there is, for me to become a data analyst helpful.
Then again, I have to jump a big hole inside, caught in endless learning Python and R, resulting in for me, a little cart before the horse. Analysts think that the data is to write code all day on a tall variety with python and R.
But in fact, this is because the industry is now defined for this type of job data analysts, data mining division is not clear. But In my experience now 3 segment data analyst point of view, these two types can still distinguish very clearly the area, but also to music.brothers mind you, to find their own position:
1, data analysts, key skills SQL, Excel, write SQL statements to get data from the database, and then made statements or reports after processing visualization in EXCEL, the business use of your sensitivity to give reliable results. Sounds simple is not it, but this one requires commercial sensitivity, indeed most need to accumulate. There are three specific directions: data products, decision support, data operations. Among them, the demand for data products PK control & project management capability; decision support PK business sense (for example, do marketing, 360 this site navigation framework of millions per month in the end or not to sign?); PK data operations on refining capacity to deliver comprehensive features you will find the problem of Internet companies, data analysts to process, like marketing, product, operations.
2, algorithm engineers, the main skills Statistical mathematical skills + knowledge + ability + real deal to write code to see the ability to read the latest articles algorithm papers. Very demanding. The corresponding positions recommendation algorithm engineer, engineers, search algorithms, text mining, speech recognition, image processing algorithms such engineers. Ali, for instance, do the recommended algorithm based on the data visitor engineer, merchandise, business online, offline database of information, etc., to obtain a recommendation of logic, popular point that how a given company, considered a score for each item , ordered out to buyers see, buyers will want to buy more goods. The algorithm behind this, in fact, most of the machines on the market are not covered by the book learning, basic skills algorithm is based on the algorithm engineer (data structures, core algorithm paradigms) + business sense (business logic, comprehensive industrial operations, analysts assumed that require experience) + continues to experiment with the data iterations to get the best result, parameters, but also concerned for the sample is not random deviations caused by systems and so on.
After listening, you should be more understanding! In fact, the easiest method to find their own positioning is to find your favorite companies recruit school jobs, see the bottom of the job requirements, you find the most interested in, with your skills and experience best matches, can be friends! So easy! I can not find my mother no longer Do not worry about the direction of it! Ha ha ha!
Fourth, Kenichi winter, first internship experience
For find a job, I am very anxious, fear can not find work, and thus, fast winter time, when I was to turn professional one semester yo, I started to vote online resume the practice, I pull hook-line vote resume.
Is a start-up companies, the main business is data-driven marketing planning company. And I kinda counterparts, combined with marketing and data thing - the main way to get data is the web crawler accessing, analyzing text data mining methods. For example, I was in the team is status quo analysis of sales of electric vehicles. First of all, understand that car home, car and other automotive love card forum is a very important source of auto data, including word of mouth, prices, reviews and other data on the forums, is very comprehensive. Thus, a computer science Ph.D. inside the team, is responsible for a web crawler, crawling down the data, and then we write the word with the company's own set of software and word frequency statistics, correlation analysis entry, and then give the blabla an analysis of the results, then blabla given marketing solutions. On Jiang Zi ~
Practice for about a month, on the New Year, and then I went home, very sorry boss!
Fifth, adjust the direction of learning, learning, and SQL database
After the first paragraph of the internship, and I Baidu relevant data analyst articles, and I know the essence of the requirements of the Data Analyst: business understanding + SQL, Excel skills, Ever since, I began to adjust my learning content: focus on understanding how to analyze a company's business, SQL statements, Excel improve.
Sixth, the basic course ended, I went to Beijing Internship
The basic graduate program in April 2015 is over, I am very anxious to find internships, internships have always believed that the most important job is to find a good stepping stone (it turns really so!) Ever since, I began to resume, pull hook net, fresh graduates network (way I vote resume relatively simple, in fact, to find a sister school seniors also recommended a very good choice, and we have to own a lot of seniors sister school exchange, they are very happy and mentees sharing experience!) voted about 20 bar, cities are Beijing, jobs are data analyst. So I communicate with the interviewer, the interview is scheduled to week, so I went to Beijing to attend a series of interview.
1, together superior product data analysts. I follow the HR and agreed to ahead of time, also made the subject of a personality test, to fill the parts need to write family situation questionnaire. After filling, I just waited, and then to HR told me to interview my boss now that in a meeting, I do not know what, let me come tomorrow. End result of the interview the next day called me and said that after going to focus on training for a job in Chengdu, (heart os:! Your sister, job descriptions did not say it, wasting my time) asked me to go, I do not want to say go with. Over!
2, a data analyst at the US group takeaway, before the interview also conducted a written test, the test subject is innocent SQL, SQL I was not so skilled, less certain to me to let the students help look ha ha ~ ~ then when the interview process is very standardized, look pen questions, introduce yourself, introduce the project, the US Mission takeaway understand do not understand, how (this problem is really very important and other competitors contrast, many hiring We will ask, the answer can expand their thinking ah, more fully staffed good topic ah). At that time because I really do not know the department is interviewing takeaway department, so the answer is not very good. Finally he asked me if I had any problems. I asked: What are the usual analysis tools? Other forgotten.
3, Lenovo's user research. Phone interview, it is routine.
4, data Baidu search Commerce Department analyst. 3 interview. The first round, let me introduce myself major projects, I blabla said that the first round of the interviewer are alumni, I also try to set it near the heart chuckle. The second round, I asked a lot of things algorithm, let me draw a schematic diagram of the scene neural network, asked me to write the modeling process k-means clustering (heart os: Assi it, cast the wrong job, these formulas to write mathematical model I will not Yeah, there usually is a direct throw to run the program). Bite the bullet and I know a little bit written down. Then asked me what is the problem? My answer: no problem (I really do not know what to ask Yeah !!!) Well, actually there is a third round, the interviewer busy look, had been in the middle of the computers and colleagues exchanges. Computer directly to me, give me a figure, let me write a program implementing the packet ?????? Sounds simple right, I try to use the python, python after all, I still bought some of the books studied but now, the school did not mean blood, I can not write ?????? At this point, I know, must be hopeless. (Whether formal internship or work, corporate recruiters want to get started right away you can hire a lot of people, you will not, then I'm sorry, goodbye; we must deliver to the corresponding positions according to their skills, otherwise, can only be a waste of time, disgrace ...)
5, nice. I had not heard before nice. Post time it was inadvertently cast, it may be seen very high salary (6k, other companies are 100 / day, to give such a high wage companies, it should be pretty good). In Beijing time, HR called me and said, boss think I said three-month internship too little time, and asked if I could be extended to five months, if not, it does not match up. At that time, I can say without hesitation ah! (In fact, really, internship three months, the company's high cost of training, trainees also learn anything. But for our students, it is difficult to have the entire 3 months to practice. So, once practice time to ask questions, if you really think this job is good, it must be said, first to agree internship for three months, after all, we do not find a job easily well, trained, trained, trained, do not call me ...) and HR says, well, talk to his boss discuss it. I said yes.
Then I went back to school, one day an appointment at 8 o'clock in the telephone interview (start-up companies will work late, and we all feel that it is not called to work overtime, that's life!). It was a very good interview and a great practice!
Interview Q 3 main parts: (1) my own project description. (2) SQL statements. Connect the left and right connection, various queries. Nice analysis of this product (3). Very professional throughout the interviewer, ask questions very level, very humble tone, anyway, is comfortable! End of the interview, etc. As a result, the next day notified and asked me when I could go to practice.
A week later, the results are basically down, got nice, the US group, Lenovo internship offer, choose to go to nice.
Seven, five months from May to September, learning practical work
Memories of the past six months, a myriad of thoughts, summary, pay a harvest! I was in a nice data set technology sector, and for data analysts, meet the data needs of operations, marketing and other departments of their own data analysis based on knowledge of the business.
2 months ago, I seriously study, read the company's learning materials, skilled write SQL, use Excel, read books, recommended a few books, "Data mining and data of actual combat operations", "data management", "Who says rookie data analysis will not be "worth interns repeated reading of data analysis, to enhance the understanding of business analysis, business analysis enough to deal with the subject of interviewer given. And then two months, devote themselves to learning python, python want to be able to solve the massive Excel can not deal with (millions, ten million) data, and improve the efficiency of my work, after all, I was in the technology group.
From the beginning of June, I began to devote themselves ready within Alibaba data analysts pushed. Alibaba is I've always wanted to go very firm. In late July and early August, we have participated in the 3 + 1 round technical interview HR interview, to get inside to push the offer. Then very fortunate, in early August to participate in the annual foreign nice trip to Japan! ! ! Yeah good company good company! ! ! August and September have been able to work relatively freely in response to demand. We met a very good leader, a small group of great partners, very happy, especially reluctant to leave when everyone.
Eight, I was pushed inside Ali's how to prepare
Within Ali push is probably the beginning of the end of July, I found a classmate colleague of my company to help me in the push (as long as Alibaba employees can help recommend, you can contact your own sister school seniors working in Alibaba help recommend, or contact I can ^ _ ^). Telephone interviews are generally pushed inside, you can choose your own city, low-cost alternative, how good! I voted for the data analyst job, place of work in Hangzhou or Shanghai.
Only around July 20 received the first phone interview (at that time almost everyone in our class voted in Alibaba, a lot of people after another have received the first round of the call, I was very lost, do not do the first round of interviews I do, wreck! proved that each sector recruitment time will be different, or not to decide according to their own departments tense recently, if you have confidence in yourself, you can be patient.)
Old saying, do not fight the battle ready, I have a good habit: to prepare in advance. For example, Ali ready to push inside, I wrote a 10,000-word document:
(1) according to my own ideas, according to the comparison colloquial text, collated each of my internship experience, project experience, game experience, to ensure that once asked to introduce his own experience, it can be very clear ideas, smooth answer them.
(2) ready Taobao analysis of related issues, such as I prepared: Data Technology and Products Division, Taobao data analysis tools which, Taobao data product technical architecture, Taobao monitoring data, the Mid-Autumn Taobao moon cake buy report, Taobao shop traffic sources and mobile phone user behavior analysis Taobao, Taobao data analysis: basic methods, data analysis mother, I understand the problems of data analysts, Taobao 100 index.
It turns out that these problems greatly expanded my thinking when answering interview questions, some still exactly the same topic, prepared in advance, to ensure confidence in the interview, not panic disorder!
Technical interview three basic steps are: "to introduce their project" + "title several Taobao business analysis of the" + "you have to ask what we do?" In this order. My first round of interviews is now my supervisor, P7; second round of interviews is my big boss of our department, reporting directly to Happy child; the third round of cross interviews, Beijing phone call, still do not know Which brothers.
The third round technical interview is not a good answer, such as HR silently, and then went to Japan to play, the phone threw my classmates, if HR call, and that is basically admitted (I've heard, As long as HR received a telephone interview, we can basically admitted, except for some special values do not match). That night at the phone suddenly there my classmates did not answer the phone, did not participate in the General Assembly Fireworks hurried back to the hotel to call back the heart that excited ah! HR actually first of all I would ask now of technology, tools, and then asked me future career plans, why Ali wanted to come, I will answer. Talk happy, still laughing! (Heart os: basically set, ha ha ha)
Then after returning home, 1 week, received the admission and told me a few days mail, heart ecstasy!
Nine, get after Ali offer
Get the offer, a lot of sentiment, a lot of pot bowl of chicken soup: "still have a desire, in case desire to achieve", "efforts will harvest", "people's efforts have been very lucky"!
After a day of work learning to 11:00, the train back and forth back and forth between Beijing and the school day a week, easy to grow! (Ha ha ha good hypocritical!)
Happy for a long time!
Of course, pleased after another journey, to continue to learn it!
Back to the company to work and school early September back to school one week, a symbolic attended some lectures will then leave in mid-September, Mid-Autumn Festival to go home, my first formal job so set.
Ten, the dust has settled
Now I have the Alibaba data entry analyst jobs, to achieve the goal of feel nice!
I wrap my way is this:
Looking Positioning - skills training - practice and then practice - given work, more learning, more reading, more communication.
Music.brothers hope eventually to get offer favorite!
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