How to start your journey as Data Analyst
A data analyst is one of the most sought-after profiles today. With the growth of digital transformation, companies have begun to generate a huge quantity of data that they still do not know how to process, manage or use. Here, a data analyst makes valuable interpretations of that data and manages to apply it properly to benefit the business. Looking at the scope of this task, it is not surprising that companies are having a huge demand for data analysts. To better understand data, you can take Data Analyst online course for quick learning. Moving further, this article will help you understand how to start your journey as a data analyst.
How to start your journey as Data Analyst
A good data analyst must have certain skills to perform day-to-day business functions. If you are looking to start a career in data analysis, you can follow the below steps;
Step 1: Fulfill the Educational Criteria
You need to have a basic qualification in Science, Technology, Engineering, and Mathematics. These are the basic necessary skills for this profession.
Step 2: Develop a Strong Knowledge of Programming
You need to have the ability to explore and analyze huge data sets. However, Python is the best choice for anyone new to the world of coding. Moreover, a candidate needs to have excellent math, statistics, and basic programming knowledge, along with an eagerness to crunch the data. Basic knowledge of SQL is another most talked-about data analyst skills. Knowledge of SQL would give you control over accessing data from different sources.
Step 3: Hands-on with Data Visualization Tools
Data analysts use data visualization tools on a regular basis. Mastering these data visualization tools does not require any technical knowledge. The important aspect is to understand the different functionalities to analyze and visualize data using these tools. MS Excel is the most basic tool, and also it is being used in all major companies and in all professions. Its features, such as pivot table creation, formulas for data manipulation, and graphs for visualization are effective to develop highly remarkable dashboards.
Step 4: Become a Storyteller
The dashboard consisting of all charts and data is not enough. Each item on the board should convey a message and conclusions with a solution-based approach for stakeholders. Thus, a business analyst must have the ability to convey a history of their findings without confusing the user. The story needs to be concise, simple, and accurately highlight the problem area.
Step 5: Acquire Machine Learning
Machine learning enables organizations to gather a larger volume of insights from structured and unstructured data. It further enables leaders to plan and take proper action. Applying machine learning and analytics broadly enables you to respond faster to dynamic situations and get more value from treasures of data. Thus, making it an inevitable tool for data analysis.
Step 6: Sharpen Your Analytical Skills
It is quite clear that analytical skills are of great importance to data analysts. These skills include gathering, classifying, and further analyzing all kinds of particular raw data. Therefore, if you want to be a professional data analyst, you need to expand your analytical skills and thinking.
Step 7: Build Your Logical Thinking
It is crucial for a data analyst to have a good command of logic. It makes you better understand algorithms and complex structures easily. Therefore, you can quickly and easily interpret native solutions such as CRM or ERP systems, and run complex reports. Additionally, improving logical thinking will further help you solve business problems more conveniently.
Step 8: Be a Successful Decision Maker and a Problem-Solver
These skills are certainly the foundation of data analysis. The main job of a data analyst is to give the correct information for decision-making and problem-solving. This is why it seems to be a perfect skill you need to be a data analyst.
Step 9: Communication
Excellent communication skills, both oral and written, are extremely crucial to be a data analyst. You should be able to communicate effectively with teammates to develop, present, and explain data. Communication is key to collaborating with your colleagues.
CONCLUSION
The role of a data analyst is very lucrative and also high-paying. However, if you want to become a data analyst without having any prior experience then you could take a Data Analyst Course in Noida. Moving ahead some project work experience and some added skills would make your data analyst resume stand out and help you land your dream job.
