With
increasing data production, the term "data analyst" has become more
and more popular today. However, becoming a data analyst requires a set of
skills and several steps to follow. Before knowing how to become data analyst,
you must know what is about data analytics.
Does Data Analytics Mean?
Data
analytics (DA) is the process of reviewing a set of data to identify trends and
extract conclusions about the information they possess. Increasingly, data
analysis is being used with specialized systems and software.
There
are some components in the data analytics process that can help in various
initiatives. By integrating these components, a successful data analytics plan
gives you a clear idea of where you are, where you have been, and where you
need to go. If you want to enhance your knowledge in the field of Data
Analytics, get enrolled in the Data Analytics Online Certification in Oman.
The course is created to make you aware about the tools that are needed to
become a successful Data Analyst and obtain a competitive dominance.
Who is a Data Analyst?
Today,
companies receive a lot of information every day that they can be used to
optimize their approaches. To gain insight into the huge amount of data
collected, organization need a highly trained expert: A Data Analyst.
The
task of a Data Analyst is to process various data about customers, products, or
company benchmarks in order to produce indicators that are useful to decision
makers. Thus, the information provided by the Data Analyst allows companies to
determine the products to be delivered to the customer according to their
needs, the marketing strategy to be adopted, or the modifications to be made to
the production process.
What are the Skills One Must Have to Become a Data Analyst?
The given below are some of the skills needed to become a Data Analyst:
- SQL Database: SQL Database is a relational database having structured data. The data is stored in tables and the data analyst finds out information from different tables for analysis.
- Query Language: The most common query language used by data analysts is SQL and there are several types of this language that include T-SQL, PostreSQL, PL/SQL (Procedural Language/SQL).
- Data Warehouse: Data Analysts connect databases from multiple sources for creating a data warehouse and apply query languages to search and manage data.
- Machine Learning: Data analysts having machine learning skills are extremely valuable, although machine learning is not the typical job of a data analyst.
- Data Visualization: A successful data analyst understands what types of charts to use, how to scale images, and knows which charts to use based on their audience.
- Advanced Microsoft Excel: Data Analysts must be proficient in Excel and use advanced modeling and analysis techniques.
- Creative and Analytical Thinking: It is important to have a solid foundation in statistical methods, but it is even more important to resolve problems with the creative and analytical lens in order to create interesting research questions that give the company an understanding of the subject.
- Programming Languages (R/SAS): Programming languages such as R and SAS are used by Data Analysts, to collect data, cleanse data, perform statistical analysis, and visualize data.
- Strong and Effective Communication: Data analysts need to communicate their findings clearly - whether it be an audience of readers or a small group of managers who make business deals.
- Data Mining, Cleaning, and Modification: When data is not stored in a database correctly, data analysts should use other tools to collect unstructured data. Once they have enough information, they can clean and process it via programming.
If
you are looking to master these skills, get yourself enrolled in the Data Analytics Online Training in Qatar and go for becoming a Data Analyst.
What’s the Career Growth?
A
skilled Data Analyst is highly in demand in almost all sectors. So, it comes as
no surprise that the projected growth for Data Analysts over the next seven
years is 19%. Data analysis is considered as the most important skill, so you should
learn data analytics in order to succeed in the professional work.
