Since time immemorial, human beings have been faced with various challenges that have necessitated their rigorous attempts to solve them. This gesture has brought to existence extensive innovation and creativity over the years. In the past human beings have created and delivered more straightforward ways to solving problems such as coming up with innovative means to improve their livelihood. However, in modern times the issues have shifted to more pressing matters to curb the rise of technology. Technology has enabled human beings to communicate with ease as well as to record various actions and transactions with minimal space and comfort of computation. This propagates from simple data calculations that could be performed by hand or the use of a calculator.
The transition from the use of simple data such as the calculations of books and pens to the number of vehicles in a town or even the billions of users of an application necessitate the use of data analysis and its experts. The manipulation of the data analysis tools could create and dissipate forecasting and prediction of future demand in products as well as the tastes and preferences of a population to different products and services. This, as well as other practical skills that are gained from the study of data analysis, provide me with the opportunity to become of use to the society and the world at large. Further, technological advances in the future will require data scientists to provide information on the relevant experience, drugs, education, medication as well as many other interdisciplinary requirements in the field before they are developed.
Boston University is one of the revered research institutions in the world. Subjects such as computer studies, statistics, and mathematics are taught and professionally trained, which provides a firm foundation for the data analysis profession. This information about the faculties and their even connection to the profession, outright energy, and resilience has been dedicated to my part to learn and educate myself different computational techniques in the field. This has been accompanied by a corresponding involvement in data analysis software such as R and Matlab. This provides a relevant and conversant perspective to the technological advances in the field.
This aside, rigorous internships in the field of insurance and the participation in the North American Modelling Competition have ensured to provide the necessary learning skills and environment that could be encountered. In addition, the internship programs have overseen the keen education on how to be self-motivated and teamwork. Different organizational values were learned in the process, which has equipped me with the necessary skills and practicability required for this next step. The gesture in the participation in competitions and challenges tested the ability to come up with authentic solutions to problems in a fast and credible manner. These I regard as practical involvements that could be useful.
The development of different involvement techniques and the application of data analysis knowledge is what brings relevance to the career. The ability to use education to generate outright solutions to problems is an even bonus skill. This has been acquired over time due to the class exercises and computer tasks in my previous work in insurance. I anticipate facing more significant challenges that will sharpen my knowledge and skill in due course.
The future of data analysis can only be understood backward. The previous data collection techniques and the methods used can then be modified to come up with solutions that assist in the advancement of the field. Planning is, therefore, essential for any individual that seeks to provide relevance, especially in data analysis. Through the different career goals set previously, the opportunity to study and be involved with Boston University creates a platform to meet and interact with different individuals with different perspectives towards the course. This plan is set to be the learning goal and to build relationships that are bound to last a lifetime. From these relationships, it is anticipated that different contributions, such as research work and papers on development aspects of data analysis, may be developed.
Post-graduation career plans always involve the matter of employment and the procedure of job search. As a young motivated individual, I believe in the work of my hands and mind to yield exceptional service in both the educational field and in industry. Through such a perspective, I anticipate being useful in multi-disciplinary areas such as the business sector and the health sector in matters such as record keeping and the design of systems assisting in data analysis ion these areas. I believe in a sound and robust architectural systems that may greatly help these sectors to keep and maintain records with aspects such as ease of retrieval and analysis. This is supported by the knowledge acquired in computers and statistics, which are the foundations of data analysis.
In general, I believe data analysis and its branches are essential to human beings as it equips them for the future. The simple, practical skills of data analysis should be instilled in every curriculum to build the necessary data foundation in the technological world to come. These are my long-term professional goals, which will be my gift to the young generation.
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