One-stop data analysis learning, let you become a qualified data analyst
With the advent of the digital age, the digital economy has become a new development trend, and the importance of data is becoming more and more significant. Coupled with the development of digital technologies such as big data, artificial intelligence, and cloud computing, the pace of the digital age has accelerated. It has penetrated into all aspects of our lives and work, and it is also promoting the overall development of the digital and intelligent era. Expect!
In the context of the era of big data, data has become an important resource, providing convenience for work and life, and it also brings new opportunities - data analysis. Data analysis has become a popular occupation in 2023, covering almost all walks of life. They all use data and all need the position of data analyst.
The following are jobs related to data analysis on the recruitment website:
According to the statistics of the recruiting website of Zhiyouji, the average monthly salary of entry-level positions related to data analysis can basically reach more than 8K , the average monthly salary of one year of work can reach 1.2W+ , and the annual salary of talents with 2-3 years of work experience can even reach 300,000- 500,000 , the longer you work, the higher your salary. So there is no need to worry about being eliminated at the age of 35. What data analysis requires is richer experience and the ability to continuously learn new technologies.
For this reason, we also follow the changes and updates of market demand, and specially develop training courses for the small partners who want to learn data analysis, mainly offline small class face-to-face teaching , 40% theoretical courses + 60% practical courses , to truly achieve theory Career education combined with practice . The course content fully covers the current popular analysis tools and methods: Excel , powerBI , MySQL database, Python , Tableau , Pandas , business intelligence BI , Matlab .
Our training goals
Pure data direction: data maintenance, data operations, data analysts, data mining engineers, data governance, BI business data analysts and other professional technical talents.
Data empowerment: operations, product managers, financial analysis, sales, advertising media and other comprehensive positions that require data analysis capabilities.
Next, we will introduce our courses in detail, so you can continue reading!
Our course setting is suitable for people who have zero foundation to change careers and on-the-job promotion. If you do not have any analysis foundation and experience but want to engage in data analysis, you can come to learn. The course starts completely from 0, from the introduction of the data analysis industry, the general job content and process of the position, the future development route to the learning of professional content, including basic knowledge of data analysis, common analysis tools (Excel, powerBI, MySQL, Python) , Common analysis methods (comparative analysis, logic tree, funnel analysis, etc.), let everyone step by step from a novice to a qualified data analyst.
If you have a certain foundation, or often deal with data and want to further improve your skills, you can also come to learn. You can further learn how to use Python+MySQL to solve more complex and large data analysis problems, improve analysis efficiency and capabilities, and use tools to achieve the goal of predicting the future.
The data analysis course is divided into six stages in total, and the learning stages are set up separately according to different analysis tools.
Course content:
The first stage of data analysis thinking + Excel analysis tools
Key content : data analysis methods, data analysis thinking training, common business analysis indicators and models, data analysis using Excel , advanced Excel , making visual reports
Through this stage of study, students can master basic data analysis methods, master Excel analysis methods, functions and professional charts; develop data analysis thinking, and learn to speak with data. It can conduct multi-dimensional analysis on millions of pieces of data and make visual reports. Competent for junior data analyst positions or analyst assistants for small and medium-sized enterprises. In actual work, they can also use analytical tools to improve their understanding of data and business.
The second stage of powerBI business analysis
Key content : power query data cleaning, power pivot data analysis, powerview/map data visualization
Through this stage of learning, students can master business data analysis methods and make business visualization reports. PowerBI has cool data presentation methods, timeliness, and large capacity features, which are faster than Excel report results. Competent for general enterprise data analysts and BI analyst positions, powerBI+EXCEL can basically solve most of the data analysis problems.
The third stage MySQL database
Key content : common analysis functions (mathematics, logic, statistics, text, time, etc.), DDL statements, DML statements
Through this stage of learning, students can master data processing technology: extract data from the database, and at the same time carry out association design on the underlying tables of the data, establish key tables in the middle layer, use SQL codes to count multi-dimensional data, and generate data that can be used directly . Then use excel for visualization. Competent for the position of data analyst in medium and large enterprises, and able to handle data business across data domains, this skill cannot be replaced by other tools.
The fourth stage of Python data analysis
Key content : Python programming foundation, data crawling, modeling, pandas data analysis, Numpy data analysis
Through this stage of learning, students can master the ability to clean, process, convert and analyze large-scale data sets, and be able to model and visualize various complex business scenarios and data, breaking through the limitations of simple Excel and BI tools, and greatly improving everyone. data analysis capabilities. Competent for the position of middle and senior data analysts, and can continue to learn and develop in the direction of big data analysis and mining.
The fifth stage Matlab data analysis
Key content : Matlab functions and variables, grammar and practical operation
Through this stage of learning, students can master rapid modeling skills and improve analysis efficiency. As a scripting language, matlab is easy to write code and very convenient to debug. You can use matlab to do some simulations, reduce the failure rate, find optimization points, verify your innovation, and so on. Competent for the position of senior data mining engineer in the enterprise.
The course contains a total of more than 20 real business projects of different types, which are interspersed in the teaching process in different situations such as stage projects and graduation projects. Not only can you learn technology, but also cultivate business understanding ability and solutions, and have a complete business process Strong data analysis ability, deepen the mastery of data direction and skills, and be able to cope with different business needs.
In the whole learning process, in addition to the mastery of analytical work and analytical methods, it is more necessary to accumulate practical analytical experience and skills and establish systematic analytical thinking. After work, I can cope well with project types that I have never been in contact with, and find solutions and methods in a timely manner. Even if you don't choose a professional analysis position, you can use these tools and analytical thinking to solve various data problems and find problems and solutions from the data.
course features
1 easy to learn
Not limited to majors, zero-basic beginners can also learn, liberal arts students, college students can learn
2 Frontiers
Launched the popular FineBI business intelligence large-screen visualization tutorial, which is close to the needs of enterprises. The learning content is highly practical, and all technical points are designed from actual projects. After learning, you can go to work directly
3 cycles
Full-time class: study period of three months; amateur class: study period of 4~5 months
4 Wumart
In 6 weeks, you can quickly grow from a novice to a BI business visualization analyst that is urgently needed by the enterprise, which is cost-effective. The curriculum system is perfect and updated in real time, and different types of projects are interspersed among them, so that you can master the latest and most complete data analysis content
5 employment
Enroll in the school and sign a recommended employment agreement, enjoy professional employment guidance, and tailor-made employment plans
Teaching advantage
1 Combination of theory and practice
For IT employment education, we require practical exercises for each technical point, and each tool must be operated in combination with actual projects from entry to proficiency. Let students not only know what this technical tool is for, but also know how to use it, which tool is suitable for what kind of scene, etc.
2 Teach him to fish
Skills are only auxiliary, the important thing is to master the methods and techniques. It is impossible to get in touch with all types of projects within three months. We can only allow students to get in touch with more projects in a limited time. The important thing is to summarize the methods and skills of data analysis and establish a complete data analysis Thinking, can also find ideas to solve problems when encountering other industry projects.
3 Teaching route from shallow to deep
Our course content design is completely based on students who start from zero foundation. The explanation method is easy to understand, and the teaching route is from shallow to deep; more practical exercises and less theoretical explanation, so that students can not only understand but also do it. It is not like other course setting and explanation models on the market, which make it difficult for students to understand, and feel that they have taught a lot, but they have learned nothing.
In recent years, more and more enterprises have paid attention to the value of data. With the promotion of digitalization, enterprises cannot do without data. The ability to manage data has gradually become the core competitiveness of enterprises. The value of data analysis positions has also increased. If you are interested in the data analysis industry, you can seize this opportunity to join us and become an excellent data analyst. Especially for friends with zero foundation, if you want to get into data analysis, choose a professional course and institution to study in order to maximize your gains in the shortest time .
However, no matter what kind of technical occupation, if you want to have a good development and salary, you need to have a solid foundation of skills, business understanding, and problem-solving skills. Break out your own sky in the industry. If you want to know more about data analysis, you can take a private class~~~Follow me and learn more about technical dry goods! !