The 8th CDA Data Analyst Certification Exam ended successfully at the end of June 2018. The results have been announced, and most of the new certificates have arrived in the hands of every certificate holder who passed the exam! Recently, we interviewed several excellent students who ranked among the best in this exam, and in this article we have compiled their test preparation and learning experience. I hope that test preparers can have some reference and achieve ideal results. Let us take a look at the style of champions!

Graduated from Zhengzhou University in 2011. After graduation, he was responsible for software implementation in a software company. Currently, he is engaged in information technology work in financial institutions.

01 Current work is engaged in scientific and technological work in a rural commercial bank in Zhengzhou. At present, data analysis is not used in the work, but I have always hoped to use big data, cloud computing and other emerging financial technology methods to help the development of traditional financial businesses. Because in the future competition in the financial industry, technology will definitely play an increasingly important role.

02 The opportunity to apply for the exam started with the recommendation of a friend and participated in the CDA A degree training course, thus gaining a deeper understanding of the field of data analysis. The purpose of applying for the CDA certification exam is also to test the effect of course learning, and at the same time set a goal and give yourself some pressure to better study data analysis.

03 How to prepare for the exam efficiently The first thing to be clear is that, instead of taking the exam for the exam, a certain knowledge system and thinking framework must be established first. Many students hope to use the certification exam to find new jobs or change jobs, but they must know that it is not the paper certificate that can impress HR, but the knowledge and skills behind it. It is also not recommended to do a lot of exercises when preparing for the exam, because the knowledge built on the sea of questions is fragmented and unsystematic.
Personally, I am a computer-related major in university, and have a certain foundation in programming language and database theory. In the course of learning A course, I found myself obviously lacking in the theory of probability statistics, but this is the top priority in the field of data analysis. So I re-purchased the textbooks for university high mathematics, probability statistics, and linear algebra to make some evil supplements.

For the preparation of LEVEL I, I suggest:

1. First understand the exam outline and real questions, and have a preliminary understanding of the difficulty of the exam.
2. Then follow the outline and start to study the two teaching materials of CDA: "advance from zero" and "with confidence", carefully study the teaching materials, pay attention to the level of textbook layout, and facilitate the construction of your own knowledge system.
3. Finally, practice some simulation questions to check the effectiveness and check for gaps.

04 In the future development plan, I hope that I can further study and improve the competitiveness in the field of data analysis. The LEVEL 1 test is still more focused on basic theory. To apply the knowledge learned to actual work, more practical exercises are required. I also very much hope that I can apply the data analysis technology to my financial work more and play some role in business development.

He graduated from a university in Tianjin in 2015. After graduation, he worked in a bank, mainly engaged in data analysis and IT project management.

01 I am currently working in the banking industry, doing business data analysis in the early stage, and currently participating in the research and development of artificial intelligence related projects.

02 The opportunity to apply for the CDA. On the one hand, I hope to review and consolidate the relevant statistical foundation through the opportunity of the exam. In addition, I hope to obtain the professional certification of the data analyst.

03 How to prepare for the exam efficiently In the process of preparing for the exam, I mainly studied the basic materials provided by the CDA: exam outline, outline analysis and video materials. Among them, the video was watched twice before and after. "Statistics" (People's University Press, author: Jiajun Ping, Xiao group, Kim Yong Jin) looked smoking part.
It is recommended that students with professional foundations can take a serious look at the video. Different teachers have different angles of explanation. After listening, they will understand the knowledge point more. The truth is always the same. This book is a good entry-level textbook for interdisciplinary students. It is easy to understand and covers test sites. I hope you will not study hard for the purpose of the exam and get good results by the way!

04 Future development plan In the future, I hope to combine traditional statistical methods and cutting-edge machine learning methods, master new platform tools and languages, and further improve the data processing ability. In my work field, I will effectively Solve business problems and optimize business applications.

In 2015, he graduated from China Pharmaceutical University. After graduation, he worked in Shanghai Dishuo Beken Medical Laboratory Co., Ltd., engaged in marketing, and the position as product manager. Currently graduate students of Central South University.

01 Currently engaged in work as a product manager in a genetic testing company, mainly dealing with market information, studying structured or unstructured data obtained by front-line sales; but suffering from the lack of methods and methods, it is often impossible to line up data Effective refining.

02 Opportunity to apply for the test The stagnation of work made me realize that if the company wants to be in an undefeated position in the competition, data is the vitality and the soul of the entire enterprise. The interpretation of data is the exploration of the market. As we enter the 21st century and officially enter the era of big data, all kinds of data are emerging, so what is lacking is not resources, but the lack of ways to make full use of resources.
I am thinking of "using the world to apply". Since I need to work, I go deep to the bottom to find the answer, that is, the improvement of analytical tools; so I have explored and gradually entered the big data, and the CDA exam is famous in the big data industry. For a long time, it is a strong strengthening and verification of my ability, so I signed up for the CDA exam.

03 How to prepare for exams efficiently
1. Learn more and practice: Subject to practicality, any theory deviating from practice is useless;
2. Multi-party inspection: There are actually many resources available on the Internet, and many like-minded people share their experiences, provide materials or provide shortcuts to the south;
3. Accurate benchmarks: Of course, learning is not blind learning. You can participate in relevant training. When you first enter the big data industry, you need to have a good guide. In addition to CDA related courses, you also participate in the actual training of the Dane project. ;
4. Zhang Chi has a degree: with or without relevant foundation, the big data entry stage will inevitably experience pains. It also shows that if you can master big data technology, you must be the leader in the industry. Therefore, at the beginning, you must put down your mentality and study piously, even if it takes a week to study the original one-day course. It is most important to lay a good foundation. In the future, you will gradually find yourself getting better and better, so that the following three days of courses can be viewed in a glance.
5. Proficient in principle: The big data industry belongs to an emerging industry, but his framework is actually java, which understands the working principle and understands basic programming, and then promotes to a philosophical level of understanding, which can often be bypassed.
In the end, the exam is only a means to test the learning achievements. The real value lies in the future experience. Even if the exam passes, it is only the first step of the Long March.

04 In the future development plan, on the basis of consolidating the theory, more participation in the actual combat of the project, and constantly improving themselves in actual combat. Learn more about the underlying implementation principles, master the underlying programming languages of big data such as scala, and write more basic code, so as to cope with the changes constantly.
For the improvement of other data mining knowledge, I hope to complete step by step from data collection, database construction, to big data analysis, data visualization, etc. to establish a complete data analysis framework.
The application development of big data tools not only focuses on market analysis and other popular projects, but also deals with the application of big data in medical big data and bioinformatics analysis.