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Data analysis is the process of studying, cleaning, transforming, and modelling data to uncover useful information, draw conclusions, and aid in decision making. And also, Data analysis has many aspects, and approaches include different methods used in different economics, natural and social sciences.  In today’s business world, data analysis plays an important role in making decisions from a more scientific perspective and helping businesses operate more efficiently.

Data mining is a specialized data analysis system that focuses on statistical modelling and information discovery for analytical rather than purely descriptive purposes. Business intelligence involves highly aggregated data analysis that focuses mainly on commercial information. And also, Data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis in geometric applications.  EDA focuses on discovering new features in data, while CDA focuses on confirming or disproving existing hypotheses.  Predictive analysis efforts to apply statistical models to prediction or classification, Therefore, while text analysis uses statistical, linguistic and structural methods to extract and classify information from textual sources such as unstructured data. And also, All of the above options are data analysis options.

Data integration is the precursor to data analysis, and data analysis is closely related to data visualization and dissemination.

What is the data analyst, and what does he do

The data analyst or big data analyst is a profession that, thanks to data interpretation, makes it possible to establish strategies within a company. Therefore, you need to know how to collect and evaluate the data statistically.

Remember, big data analysts work with large amounts of data, but the data itself doesn’t tell you anything. The company needs a profile that can find models to carry out certain actions or others.

Daily tasks of a big data analyst

When you work in an organization with a digital presence, you know that companies always support the user. Therefore, it is important to have an analyst interpret the data to identify patterns of customer behaviour.

The data analyst is therefore responsible for:

Of course, an analyst must develop mathematical and statistical skills. In this way, you will be able to perform a full analysis of the extracted data. To do this, it uses tools like Python.

As part of the capabilities of tools and statistics, elements such as teamwork should also be considered. Without a doubt, big data must work hand in hand with the business intelligence department.

A data analyst is a number that is needed in every industry and department. Therefore, you must be prepared to present data at every stage of the business. Effective communication should be one of your trademarks, as you not only deal with the data scientist, but your mission is to make sure everyone in the business understands the data they are working with.

The data analyst is intrigued to discover what is behind all the information generated by a business. These are skills that are found in an innovative person who is committed to change. And also,  It has one of the most interesting challenges presented in the years to come.

Five Reasons Why Businesses Are Looking For A Data Analyst

The average salary of data analysts shows the recognition and value they bring to their work. Because. A good data analyst has five qualities that every business looks for. Do you want to get to know her?

Curiosity to analyze and interpret data. A data analyst is important to a business because they love to take data, analyze it, and get the most out of it—an important profile when you consider the large amount of data that businesses must store and manage.

A profile was familiar with the numbers. Therefore,  data analyst is a profile expert in mathematics and statistics. And also, That said, the right business data analyst knows how to handle the numbers, understand them, and direct them to the company they work for. Not all digital profiles have a skill that makes the data analyst so careful and important for companies.

Ability to solve problems. Therefore, One of the most common qualities of a good data analyst is that they are problem solvers and are good at solving them. Therefore,  business data analyst is characterized by his ability to solve problems that arise, one of the points that characterize a good employee.

Know how to solve technical problems. He not only knows how to analyze, interpret and process numbers. Therefore, Any good data analyst is characterized by his ability to solve technical problems. And also, It is a family profile with programming skills and uses computer language: HTML, CSS, SaaS, PHP, cloud.

It adapts to all sectors. Besides working with data and numbers, being determined, and knowing how to use computer language, another quality that makes data analysts good is adapting to any industry. Therefore,  ability to quickly adapt to a business, regardless of industry, is another reason companies positively value the profile of the data analyst.

What to study to become a data analyst

Therefore,  rise of this profession results from the need for companies to hire Big Data experts. This creates jobs that did not exist before. Adapting to market needs impacts education because this is where training needs to be provided to meet business demand.

This type of training can be completed in the form of a master’s, postgraduate or coursework. And also, In each of them, there is

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