Do you know that, according to recent statistics, the typical data analyst salary in India is approximately 10 LPA? You would have come across the term "data analytics" a lot recently. Companies from all sectors need experts who can gather data, analyse it, make meaningful inferences from it, and then use those inferences to solve challenging business problems. Any organisation now considers data analytics to be one of its core competencies. The demand for this position has increased significantly over the past few years. And what exactly is "data analytics"? What exactly do data analysts do? How to start a career as a data analyst in 2023? Qualification of the data analyst. How to become a data analyst is provided in this article. If you're interested in kickstarting your career in data analytics, take a look at SkillSafari's data analytics course.
What is data analytics?
The process of using data to discover patterns and knowledge that can be applied to decision-making is known as "data analytics." It is used to find patterns, trends, and correlations, it entails gathering, organising, and analysing huge sets of data. Data analytics can be applied in many different situations, including business, healthcare, and sports. To extract meaning from complicated data sets, it frequently involves the use of statistical methods and software tools. Data mining, predictive modelling, and machine learning are a few of the frequently used techniques in data analytics. Data analytics can help improve decision-making, streamline procedures, and spot untapped business opportunities.
Why Data Analyst?
One of the fastest-growing profession around the globe is data analytics. Data analysts can anticipate a wealth of career opportunities from working in a thriving industry because there is an enormous need for skilled data analysts and the pay is quite high compared to all other tech jobs. Are you keen to know how to become a data analyst? Let’s know the roadmap to becoming a data analyst in 2023.
How do I become a data analyst?
To become a data analyst, we need to follow the upcoming steps, and learning those steps in a structural way helps you become a skilled analyst in 5 months.
Step 1: Mathematics and Statistics:
The fundamental elements of data science are maths and statistics. To become a successful candidate in this field, you must have a solid background in linear algebra, calculus, probability, and statistics. These concepts lay the groundwork for understanding data analysis techniques and machine learning algorithms.
Step 2: Acquire coding knowledge:
Strong programming skills are necessary for data analysis. Learn at least one programming language, either Python or R, and become proficient in it. These languages are frequently employed in the industry and have a sizable user base and resource base.
Step 3: Learn data cleaning and preprocessing:
Data analysis must first go through pre-processing and cleaning of the data. Here, you will gain knowledge of how to prepare and purify data from a range of sources, such as databases and text files.
Step 4: SQL:
Become knowledgeable about databases and SQL because relational databases are crucial to data science. You have to be proficient in writing SQL queries and possess a thorough knowledge of databases in order to extract and manipulate data.
Step 5: Learn the fundamentals of data visualisation:
Using Tableau, you will learn how to create visuals that effectively communicate data insights.
Conclusion:
Starting a career in data analytics couldn't be more ideal than right now! Without the appropriate expert to analyse the data, it is useless. To learn data analytics from scratch, join our Alchemyst 2.O Program where you will be learning things from scratch with one on one personal mentorship and 100% Placement assistance.