<p style="text-align: justify;"><span class="p" style="color: #262626;">我們的許多學員在準備不同方向申請項目的個人陳述時，基于同一段經歷準備的寫作素材大都是一樣的，往往是對于科研或者實習內容的羅列，而忽略了不同項目的側重點。為此，<strong>我認為針對同一經歷在不同申請方向的PS中，應當基于申請項目內容來深入挖掘其經歷，從而呈現(xiàn)出與申請項目相契合的內容。</strong></span></p> <p style="text-align: justify;"><span style="color: #262626;">&nbsp;</span></p> <p style="text-align: justify;"><span class="p" style="color: #262626;">新國立大學的MSc Statistics旨在為學生提供解決工業(yè)和學術界實際問題的實用知識，使學生成為統(tǒng)計相關工作的人才，并在銀行、金融、營銷、醫(yī)療健康、制造和工程、研究和學術機構等行業(yè)發(fā)揮價值。</span></p> <p style="text-align: justify;"><br /><span class="p" style="color: #262626;">那對于擁有同樣經歷的學生，應該如何去體現(xiàn)個人有別于定量金融的統(tǒng)計能力呢？</span></p> <p style="text-align: justify;"><br /><span class="p" style="color: #262626;">首先我們要知道MSc statistics看重的各部分能力：數理統(tǒng)計和分析能力（學術），統(tǒng)計軟件的熟練程度（R, Python, SASS等），研究過程中運用統(tǒng)計術語和方法進行數據處理和結果產出等。整體來看，統(tǒng)計學是定量金融的基石（后者更強調金融相關的理論知識和實操能力如通過量化進行風險管控，定價等金融業(yè)務）</span></p> <p style="text-align: justify;"><br /><span class="p" style="color: #262626;">今天#心動的文書#欄目，老師就跟大家分享一下如何通過描寫自己的經歷來突出自己的優(yōu)勢，表達自己對該專業(yè)和未來的熱情和追求，從而吸引招生官。（<strong>下劃線加粗為好詞好句，大家可以收藏積累哦~</strong>）</span></p> <p style="text-align: justify;"><span style="color: #262626;">&nbsp;</span></p> <h1 style="text-align: center;"><span style="color: #262626;"><strong><span class="h1">01 PS Sample</span></strong></span></h1> <p style="text-align: justify;"><span style="color: #262626;">&nbsp;</span></p> <p style="text-align: justify;"><span class="p" style="color: #262626;">My enthusiasm toward statistics might trace back to my sophomore year when I first applied statistical instruments and theories. Cooperating with another student, I <span style="text-decoration: underline;"><strong>fathomed</strong></span> the development route of Beijing tourism within 10 years. This study took us 4 weeks to collect valuable data and design regression models.<strong>【大二統(tǒng)計學報告：研究北京近10 年的旅游發(fā)展情況】</strong>In this process, we carried out a linear regression analysis via SPSS, and established a multiple linear regression model to eliminate the multicollinearity. So powerful were the statistical tools that our report received teachers&rsquo; approval, but at the same time a teacher also pointed out that domestic referable statistical methods are less applicable in today&rsquo;s digital age. He suggested us expanding our vision to international avant-garde methods.<strong>【指導老師的反饋：使用的統(tǒng)計工具已經過時，建議學習前沿的統(tǒng)計技術】</strong>His words keep me wondering what breakthroughs modern statistics has made, sowing a seed in my mind to increase my knowledge of frontier statistical techniques.</span></p> <p style="text-align: justify;"><span style="color: #262626;">&nbsp;</span></p> <p style="text-align: justify;"><span class="p" style="color: #262626;">這段通過描寫大二的一份統(tǒng)計學報告，指導老師給出的改進意見啟發(fā)「我」去關注當今學術界最先進的統(tǒng)計理論和方法，也由此索性決定轉專業(yè)到統(tǒng)計學領域（以seed為文眼）。</span></p> <p style="text-align: justify;"><span style="color: #262626;">&nbsp;</span></p> <p style="text-align: justify;"><span class="p" style="color: #262626;">Before the seed grows, I spared all efforts to enrich my theoretical and pragmatic skills in statistics. <span style="text-decoration: underline;"><strong>Optioning in</strong></span> Statistics, I was capable of utilizing R, SPSS, and Stata to deal with fundamental data related to insurance and the economy.<strong>【掌握基本的統(tǒng)計工具R, SPSS, Stata】</strong>That was a preliminary step, and I hope I will be equipped with a higher-level application of advanced statistics from sampling to regression, enhancing my full-chain statistical mindset and adapting to cross-industry statistical work. So I continued to attend online courses given by expert professors, furnishing myself with a more systematic structure of statistics.<strong>【自我提高意識：自學網上統(tǒng)計學課程】</strong>More than that, I always remember to exercise my statistical awareness both academically and professionally.</span></p> <p style="text-align: justify;"><span style="color: #262626;">&nbsp;</span></p> <p style="text-align: justify;"><span class="p" style="color: #262626;">這一段主要用來過渡，把匹配的能力說清楚之后重點放到下面幾段去闡述。</span></p> <p style="text-align: justify;"><span style="color: #262626;">&nbsp;</span></p> <p style="text-align: justify;"><span class="p" style="color: #262626;">Typical was my graduation thesis that pierced the commercial endowment insurance industry. As the aggravating population aging and decreasing fertility rate, young laborers in China are facing a heavy burden of supporting the elder, which makes <span style="text-decoration: underline;"><strong>endowment</strong></span> insurance an alternative to relieve such tension.<strong>【分析能力：中國的人口結構現(xiàn)狀&mdash;人口老齡化加劇，生育率持續(xù)下跌，老年人迫切需要一份保險來緩解年輕人的養(yǎng)老壓力】</strong>My intention is to explain why young people are willing to purchase insurance and how it lifts their loads. Reviewing the whole process, I should say the most difficult step is data processing. A large volume of data was retrieved from the CFPS (an authoritative and reliable family-oriented questionnaire designed by Peking University). My ensuing operations were as follows: I selected the three sub-questionnaires from the latest database with a total of 200-page questions; after referring to the manual, I determined 15 lines of data that were set as independent variables, as well as the young&rsquo;s purchasing behaviors as dependent. Through simple data processing like excluding missing values and winsorizing abnormal ones, I retained 6482 pieces of data about groups from 18 to 35 (age). At last, I built a Probit model for regression and an LPM model for robustness test.<strong>【解決問題能力和數據處理能力：處理龐大的問卷數據庫，選取有關變量，剔除缺失值和異常值， 縮尾，數據清洗，模型回歸和穩(wěn)健型檢驗】</strong>Despite lacking relevant experience, I succeeded in employing my analytical and Stata skills, at the same time discerning my deficiencies in data processing. I will bear in mind the problem of how to choose variables based on data features and seek professional answers. Massive data has been an integral part of the big data times, so it must be challenging but meaningful to disclose data essence via skillful information exploration.</span></p> <p style="text-align: justify;"><span style="color: #262626;">&nbsp;</span></p> <p style="text-align: justify;"><span class="p" style="color: #262626;">詳細講述「我」如何克服苦難去應對超量的數據，如何根據數據特點選取變量并挖掘出數據內在本質。最后一小段關于數據提煉和挖掘的思考也對應了統(tǒng)計學最關注的問題</span></p> <p style="text-align: justify;"><br /><span class="p" style="color: #262626;">Speaking of big data technology, I recalled my attempt to predict the popularity of media content based on machine learning. Making full preparations, I furthered my data processing (normalization, one-hot code, mapping) and witnessed the power of AI in data analysis. At first, I clarified the distribution rules of the &ldquo;shares&rdquo; label and drew the histogram, based upon which I summarized the data features and conducted descriptive statistics. Likewise, by cleaning and pre-processing data, I separated the label and performed logarithmic transformations among data with maximal values over 5000. PCA and random forest generating the model, I cross-checked its validity and accuracy after integration with stacking. Such high efficiency in sorting out data impressed me deeply and stimulated the seed to sprout.</span></p> <p style="text-align: justify;"><span style="color: #262626;">&nbsp;</span></p> <p style="text-align: justify;"><span class="p" style="color: #262626;">這一段經歷雖然沿用QF的實習，但是在具體表述上各有側重。統(tǒng)計學這里沒有具體從宏觀的行業(yè)范疇去講，步驟上沒有太大差別，但是卻呼應開頭「接觸前沿的統(tǒng)計工具」，也再次證明「我」對統(tǒng)計分析的熟練程度</span></p> <p style="text-align: justify;"><br /><span class="p" style="color: #262626;">Stepping out of the ivory tower, I directly secured an internship at China Life Reinsurance Company. Every day I was busy with obtaining data from the Alipay application, data screening &amp; analysis with R, and descriptive statistics about the settlement of claims and causes of diseases. In addition, I also observed how expert data analysts capitalize on machine learning for data prediction, which once again proved the potential of modern statistical technologies. In my opinion, digging out valuable information from complicated data is worthwhile, which clears my vocational objectives.</span></p> <p style="text-align: justify;"><span style="color: #262626;">&nbsp;</span></p> <p style="text-align: justify;"><span class="p" style="color: #262626;">同樣，實習這段也是重點保留了數據處理和分析相關的細節(jié)，同時補充了數據分析在先進統(tǒng)計分析技術支持下的高效和價值的提升。</span></p> <p style="text-align: justify;"><br /><span class="p" style="color: #262626;">Now the seed has bloomed, so I am resolved to undertake the position of data engineer at highly-competing companies like Alibaba Group, ByteDance, and Tencent. These Internet enterprises, pursuing innovation and vigor, must engage themselves in various projects, from which I can hone my Python, R, and allied technologies and try to make feasible business plans. In the coming 5 years, I shall try my best to obtain the CFA and CPA certificates, dedicating myself to investment decisions, quantitative analysis, and product design. I am looking forward to my achievements in this field.</span></p> <p style="text-align: justify;"><span style="color: #262626;">&nbsp;</span></p> <p style="text-align: justify;"><span class="p" style="color: #262626;">按照seed的發(fā)展勢頭鋪敘職業(yè)規(guī)劃；不同于QF的金融性質，統(tǒng)計學可以以技術為導向。</span></p> <p style="text-align: justify;"><br /><span class="p" style="color: #262626;">I reckon that postgraduate learning will make the seed flourish, so I pinpoint the MSc in Statistics program at the National University of Singapore (NUS). Carefully browsing through the curriculum, I find your program aligns with my career aspiration perfectly. Textbook-based courses including Basic Statistical Theory, Advanced Probability Theory, and Advanced Statistical Theory supplement my academic shortage; practice-focused courses such as Multivariate Data Analysis and Statistical Methods for Genetic Analysis are where I am interested.<strong>【分別從理論和實踐培養(yǎng)的層面表達對項目學習的期待】</strong>I have no doubt that your renowned faculty will lead me to a deeper and broader statistical world. Besides, many students at UIBE get employed by famous Internet or securities corporations after graduating from your program.<strong>【母校同樣畢業(yè)于NUS該項目的校友的就業(yè)前景很好】</strong>For a private reason, Singapore, reputed as the garden city, magnetizes me with its diverse natural landscapes and humane characteristics.<strong>【自然風光和人文情懷】</strong>I expect I will spend my postgraduate life pleasantly.</span></p> <p style="text-align: justify;"><span style="color: #262626;">&nbsp;</span></p> <h1 style="text-align: center;"><span style="color: #ffffff;"><strong><span class="h1">02 總結</span></strong></span></h1> <p style="text-align: center;"><span style="color: #262626;">&nbsp;</span></p> <p style="text-align: justify;"><span class="p" style="color: #262626;">統(tǒng)計學項目鑒于其應用廣泛和跨學科的特點，適合很多專業(yè)的學生申請包括Mathematics, Engineering, Biostatistics, Physics, Economics等，但是不管什么專業(yè)，在體現(xiàn)的能力方面都是有一定共性的。寫作過程中要注意篩選匹配的經歷才能更好的凸顯申請者的競爭力。</span></p> <div class="qrcode-content-wrapper" contenteditable="false">&nbsp;</div>