The world around us is always changing. We are not in the world anymore where everything was written, or data was collected in black and white. We are in a world where everything is digitized and runs on computers. Every company and organization value strategies and decisions made after analyzing detailed data analyst. This is why the demand for data analysts has seen a spike in recent years.
This rising demand is an opportunity that should be utilized by those candidates who aspire to pursue a career in data science. To be a data analyst or engineer, there are some skills you must possess to truly excel in your profession. Given below are some important skills to help you to be a successful data analyst. Click here for more details Data Science Training in Pune
(I) Structured Query Language (SQL)
SQL is a database language that a data analyst must learn. It is one of the most important skills needed to handle big data. It is considered a more advanced version of Excel which can handle complex data sets.
Every organization needs an employee who has a thorough knowledge of SQL. Using SQL, not only can you store and manage data, but you can also relate multiple databases.
(II) Using Microsoft Excel
Microsoft Excel is used on a worldwide scale. Every office uses it to store data. Usually, common people think that Microsoft Excel is all about creating and maintaining spreadsheets, but there is a lot more to know and learn. For handling data on a small or medium basis, Excel is still used by many data analysts. Startups mostly prefer Excel to be their first database.
For lighter and quicker analysis, Microsoft Excel is the most used one. Every data analyst must learn how to handle data on an Excel sheet and analyze it.
(III) Thinking Critically
Critical thinking will help you to find out the answers to questions by using data analytics. Being a successful analyst requires the critical thinking skills used with every question or problem and using data to solve them. As an analyst, your job is to solve certain complicated doubts and questions that are not solvable by a normal person.
(IV) Learning R and Python
R and Python can do everything that Excel can do, but at a faster pace. Both of them are programming languages used for statistics. These languages are used for analyzing big data sets and for predictive analysis. Apart from knowing SQL, knowing one of these languages is necessary for every data analyst. Visit here for more details Data Science Training in Chennai
(V) Data Visualization
Data visualization is a skill that enables you to represent your data in a graphical form. To enable people to pay the utmost attention to your findings, data must be represented in an eye-catching format such as graphs, charts, diagrams, etc. It makes data more precise and easy to comprehend.
(VI) Good Presentation Skills
Presenting data and data visualization go hand-in-hand. However, not presenting data in a concise and neat form means all your efforts are in vain. The presentation can highlight important points, show the problem, and what needs to be the ultimate goal.
These are some skills you need to teach if you see yourself as a data analyst in the future. Start developing skills like critical thinking and delivering good presentations early before entering into the corporate world!
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