As technology continues to grow at a rapid pace, the demand for data analysts also increases. Data analysts are responsible for analyzing large sets of data, finding patterns, and making predictions. The job requires technical and soft skills, analytical abilities, and domain knowledge. With that being said, it can be overwhelming to learn all the necessary skills to become a data analyst. In this article, we will share with you how Luke, a data analyst, learned the four skill sets to become an excellent data analyst.
The Two-Step Process
According to Luke, the two-step process for learning anything involves learning and using it. Learning a skill without using it makes it harder to retain. The skills can be applied in various ways such as coursework projects, portfolio projects, work projects, and teaching others. Using your skills provides you with something to showcase as experience to potential employers.
Technical Skill Set
Luke recommends starting with the technical skill set. He believes that technical skills are easier to set goals and accomplish. Furthermore, technical skills are fun to learn, which motivates learners to achieve their goals. To build on soft skills while learning technical skills, Luke suggests writing a blog post about it. He also found that Excel and SQL are the two most important technical skills a data analyst should learn.
Analytical Skill Set
Analytical skills are necessary for data analysts. A data analyst should be able to analyze large sets of data, find patterns, and make predictions. It is also essential to be able to communicate these findings to different stakeholders. Luke recommends learning statistical analysis, regression analysis, and machine learning algorithms. One way to apply analytical skills is by analyzing and finding patterns in data sets.
Soft Skill Set
Soft skills are equally important as technical skills. A data analyst should be able to communicate and present their findings effectively. Luke recommends developing soft skills through writing and presenting. Writing a blog post about a technical skill will help build writing skills, while presenting your findings to colleagues or clients will develop communication skills.
Domain Knowledge Skill Set
Lastly, domain knowledge is essential for data analysts. Domain knowledge includes understanding the industry or sector you will be working in. Domain knowledge is necessary to understand the data, interpret the findings, and communicate the findings to stakeholders. Luke recommends learning about the industry or sector you are interested in and getting certifications or completing courses.
Conclusion
To become an excellent data analyst, one should focus on four skill sets: technical, analytical, soft, and domain knowledge. Luke’s experience showed that starting with the technical skill set, followed by the other skill sets, is the most efficient way to learn. Applying these skills through coursework, portfolio projects, and work projects is crucial to retain the knowledge. Learning these skills will help you become an excellent data analyst in today’s fast-paced technological world.