Data Analyst

Build a back-end system to manage databases and analyze databases to expand servers, clustering databases, move enough databases, manage performance servers or mail servers to meet the needs of the organization

Why analyze data?

Big Data Analytics is the use of insights within Big Data, such as hidden patterns. unknown relationship Market trends and customer needs are then analyzed and processed. To use as a reference for decision-making. Development or production of goods and services and improve quality Increase your business advantage from Big Data, strategize wisely, ready for every situation in the world of online commerce. In every industry, for example, various platforms have millions of users every day. Each platform recommends products, songs, etc. based on viewing, listening, liking, sharing, and search history. which is a result of using Big Data Analytics

Analyze data scientifically with high accuracy (Data Science)

Today, the world is driven by big data. Every organization or company, regardless of size, will use this data in their business. Data science will play an important role in data management. Find insights or hidden insights for strategic planning by using data mining statistics, algorithms, or machine learning systems. And develop better products and services.
-Collect unorganized information and convert it into something easy to understand and use.
-Addressing issues related to data
-Working with various codes such as SAS, R, and Python
-Understanding Statistical Data
-Analytical techniques
-Ability to communicate and collaborate with technology and business
-Sort and format data and determine profit trends

Predict stock prices or sales through statistics

Use artificial intelligence to predict prices. Collect statistical data from past databases, such as transaction volume, charts, and related data, as well as artificial intelligence. Ability to track economic conditions and currency prices to assess risks, such as news articles, social media posts, and research papers. Use machine learning algorithms to analyze market patterns and trends, and simulate events to predict prices.


The advantages of using artificial intelligence to predict prices
-Quick and effective analysis
-Continuous learning and adaptation
-Objective decision-making

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