Which one to choose for Nanjing Big Data Analysis Training Class

Release time: 2024-05-15 10:40:04 Source: Youkao.com Comprehensive

Under the background of the digital economy and the trend of the artificial intelligence era, data analysts are professional international qualification certification oriented to the whole industry, aiming to improve the digital skills of the whole people, help enterprises to achieve digital transformation, and promote the digital development of the industry, CDA data analysts specifically refer to new data analysis talents who are specialized in data collection, cleaning, processing and analysis in the Internet, finance, retail, consulting, telecommunications, medical care, tourism and other industries, and can produce business reports and provide decision-making.

About Big Data

What exactly is big data?

Big data refers to a collection of data that cannot be captured, managed and processed with conventional software tools within a certain period of time. It is a massive, high growth rate and diversified information asset that requires a new processing model to have stronger decision-making power, insight and discovery power, and process optimization capabilities. The strategic significance of big data technology does not lie in mastering huge data information, but in specialized processing of these meaningful data. In other words, if big data is compared to an industry, the key to the profitability of this industry is to improve the "processing ability" of data and realize the "value-added" of data through "processing". "

Who is suitable for the data analysis course?

Want to go into business

Age 20-30 years old, college degree or above, no limitation on major/experience/gender.

have interest in

Be interested in data analysis, have certain anti pressure, patience and learning ability.

Want to change careers

People from all walks of life who want to change careers in IT, Internet, finance and other high paying industries.

graduate

The majority of fresh graduates and former graduates who intend to engage in data analysis related work.

Career development direction

Data analyst

Engaged in data collection, sorting, analysis, finding problems, analyzing problems, drawing conclusions, providing data support for the company's decision-making level, and focusing on business.

Data Mining/Algorithm Engineer

Using model training data to mine laws from massive data, predict or classify objects, mainly focusing on programming and algorithms, and requiring high statistical theoretical knowledge.

Data Product Manager

Mainly responsible for data oriented refining of demand, design, planning, project scheduling to project implementation, and later product improvement and optimization.

Data development engineer

Design, build, and maintain infrastructure to provide platforms for data collection, storage, processing, and computing. Partial code development needs to be compensated in terms of code capability, but compared with programmers in pure technology stacks, it needs some business logic.

Campus environment

Organization Introduction

Bo Wei Feng

Since its establishment, Boweifeng has been committed to providing IT vocational training for new graduates and new workers, and providing overall software testing solutions for customers at home and abroad. For many years, Boweifeng has always adhered to the teaching quality and sincerely served the students. Boweifeng has successively delivered software technology elites to many domestic and foreign enterprises. In the future, it will set up more training projects for talents in need according to industrial changes and technological innovation: help more recent graduates and new workers find satisfactory jobs and realize their career dreams; Help more employers easily recruit available talents, and promote enterprise development and industrial progress.

Which one will be selected for Nanjing Big Data Analysis Training Class? Boweifeng provides software test Web front-end, Java full stack development, Python full stack development, super full stack development, AI and other courses help students master the professional skills required from weak foundation to advanced career.

What data analysts should learn

1、 Statistics

I think some people recommended many professional statistics books, which scared people away. I learned Probability Theory and Mathematical Statistics when I was in college, and I haven't read much about other statistics. For data analysis on the Internet, it is not necessary to master too complex statistical theory. Therefore, it is enough to learn statistics according to undergraduate textbooks.

2、 Programming ability

Learning a programming language will greatly improve the efficiency of data processing. If you can only copy and paste in Excel, it is impossible to be quick. I recommend Python, which is fast and elegant.

3、 Database

Data analysts often deal with databases, and they can't do without mastering the use of databases. Learning how to create tables and use SQL language for data processing is an essential skill.

4、 Data warehouse

Many people can't tell the difference between a database and a data warehouse. To put it simply, a data warehouse records all historical data and is specially designed to facilitate the use of data analysts.

5、 Data analysis method

For Internet data analysts, you can look at Lean Entrepreneurship and Lean Data Analysis to master common data analysis methods, and then adjust and flexibly combine them according to your company's products.

6、 Data analysis tools

SAS, Matlab, SPSS and other tools are often recommended. What I want to say is that they are generally not available in Internet companies. Make visualized Tableau, statistical analysis of Youmeng and Baidu, as well as our Shence analysis.

Application of data analysis

The role of data analysis on the Internet. With the development of mobile Internet technology, using mobile terminals to receive news, listen to music, and watch TV is the first choice of many consumers. If marketers want to occupy a place in the fierce market competition, they need to mine and analyze massive user data to discover users' personal preferences, In order to accurately grasp the user's consumption behavior, this paper finds the user's online behavior based on the analysis of the user's massive online data, and combines it with the business support system data to analyze, showing the complementarity of user dynamic and static data marketing management The personnel have laid a good foundation for finding target customers and improved the marketing accuracy.

More training courses: Nanjing Boweifeng Big Data Analysis Training Course More school information: Nanjing Boweifeng IT Vocational Training Consulting telephone: