What does a Data Analyst do?
Data Analysts are the people who analyze data to extract more meaningful data from the data of businesses. They focus on basic data processing processes such as data analysis, data cleaning and data visualization.
They work to organize the data they collect from the units within the business, to eliminate deficiencies and to ensure data integrity. Through their analysis, they understand the current performance of the business, interpret and report on past trends.
Data Analysts work mostly on small and medium-sized datasets and perform basic level analysis. They are experts in cleaning, visualizing and reporting data. They help make decisions based on historical data.
They work to organize the data they collect from the units within the business, to eliminate deficiencies and to ensure data integrity. Through their analysis, they understand the current performance of the business, interpret and report on past trends.
Data Analysts work mostly on small and medium-sized datasets and perform basic level analysis. They are experts in cleaning, visualizing and reporting data. They help make decisions based on historical data.
How to become a Data Analyst?
To become a Data Analyst, it is very important to have basic knowledge and skills by studying statistics, computer science or mathematics. Data science is based on foundations such as statistics and mathematics. Knowledge of basic theorems and analysis related to statistics will also be an advantage here.
Although programming languages such as Python and R are frequently used by data analysts, it is important to know them at a basic level. Using these languages, you can process data, perform analysis and create data visualizations.
It is very important to convey the results of the analysis verbally and in writing. For this reason, people working as a Data Analyst should have advanced communication skills.
Learning big data technologies and database management is important for a data analyst who will be working on large data sets. Therefore, it is important to know tools such as Hadoop, Spark, and NoSQL databases, even at a basic level. In addition, report writing and presentation skills are also critical for a data analyst.
Microsoft and Google's data analyst certifications are also processes that will support you in investing in yourself.
Although programming languages such as Python and R are frequently used by data analysts, it is important to know them at a basic level. Using these languages, you can process data, perform analysis and create data visualizations.
It is very important to convey the results of the analysis verbally and in writing. For this reason, people working as a Data Analyst should have advanced communication skills.
Learning big data technologies and database management is important for a data analyst who will be working on large data sets. Therefore, it is important to know tools such as Hadoop, Spark, and NoSQL databases, even at a basic level. In addition, report writing and presentation skills are also critical for a data analyst.
Microsoft and Google's data analyst certifications are also processes that will support you in investing in yourself.
