Data science, as an illustrious application in Statistics, is my direction in career. The four-year study in applied math motivates me to take the challenge of pursuing a master 's degree in statistics. In addition, my aspiration to become a professional data analyst also gives the graduate study an absolute necessity. To trace my determination in data science, my intern as an assistant consultant in Wisedge Education is an inspiration. There, I constructed my very first data report on evaluating education-consulting services by Excel. The sample was prospective Chinese undergraduates of colleges and universities in the U.S in the previous five years. The scatter plot on acceptance rates and ranking of universities enrolled showed an …show more content…
For methodology, it was fortunate that I got the opportunity to join the Directed Reading Program on statistical methods, ranking soccer teams in cooperation with Dr. Steve. Because outcomes involving multiple categories occur more often, we wanted to compare and improve existing ranking methods, and made them suitable for more classifications. For example, primarily, there was only one classification: scores. To advance, currently, classification of yardages would also be considered when ranking. After collecting unstructured data online, we used least squares to get the squared matrix for Massey 's Method but found it failed to cover multiple categories simultaneously. After research and comparison of other methods, we found that Markov Method succeeded because the weights can be assigned to eigenvectors of normalized stochastic matrices. Since we have found the desired method, we reached the agreement that the comparison between the two methods was consequential here. The results by using the two methods of ranking the same set of scores were different. Therefore, on the seminar, I concluded that Markov methods outperformed Massey’s Method in the research, but further research suggests that Massey’s Methods have a better performance under some circumstances. It is the charisma of data science that analysts should adjust measures to local situations. During the research, MATLAB dominated to produce outcomes. However, it functions more on mathematical calculation,
I am a data science professional with special interests in providing solutions by implementing statistical methodologies and data visualizations to give insights and help organization decision makers make better decisions. I have over five years of work experience as an analytics specialist and the opportunity to work on several data science projects that involves clients in different sectors such as retail, education, insurance, market research and non-profit. My past job responsibilities included: analyzing large volumes of data to draw actionable insights, performing data cleaning, manipulations and analysis to identify pattern and trends
Palocsay, S, 2010, Utilizing and teaching data tools in Excel for exploratory analysis, Journal of business research, vol 63, pp 191, viewed 19 May 2013, via Griffith Library Database.
For this week's lecture, Dr. David Laude focused on the reasons why people often hate statistics by giving his input on how it allows for the better understanding and evaluation of data collected. By illustrating different ways in which people use statistics to reach a conclusion, the professor was able to highlight the way these influence decision-making scenarios. To establish his point, the professor purposely explained statistics with the use of scenarios that would make students attentive on the subject. like the ways in which statistics measures a student’s capabilities to perform in the university.
As a senior at Babson College concentrating in Business Analytics and heavily interested in data-driven decision-making, I am thrilled to apply to West Monroe’s Advanced Analytics Consultant positon. Last year, I had the opportunity to research, collect primary and secondary data, and make business decisions when I participated in Babson’s Management Consulting Field Experience. My team, comprised of five highly motivated Babson undergraduates and a graduate student project leader, was able to create a blueprint for a crowdsourcing platform that would help our client, Clarkston Consulting, with its innovation methodology. In the span of three months, our team identified a target market, determined product features, and designed the platform. Through this project, I strengthened my communication skills as I worked with my team, project leader, and also a high-profile client. Further, my passion research and data analytics was reinforced as I utilized the tools taught in my classes in the real-world project. Along with this experience as a consultant, I am
Best 4U! Educational Consulting Firm, is an independent higher educational service created by Patricia F. Cooke, Ed.M, MA, LPC. Patricia brings a host of experience and knowledge to not only the field of education, but also college admissions, she is also a provider of mental health counseling. She began her career in 1986 as a comprehensive science teacher, for which she has been inducted into the Who’s Who Among America’s Teachers, is the recipient of NJ Governor’s Award for Excellence in Education and named Teacher of the Year. In 2002, seeing a need for both high school and mental health counselors she embarked on a new career and soon become both a high school guidance counselor and a practitioner in the mental health field. Currently, she is the guidance coordinator of an area high school at the Jersey shore and a trained mental health counselor at Sunrise Counseling Services, Point Pleasant Beach, NJ.
The use of computerized statistical analysis has developed into a vital tool in the world of sports. Using data analytics to project player abilities, indicative of their potential future performance, is now an important part of team decision-making. This analysis can provide information that makes the difference between adding a quality player, as opposed to one who does not perform up to expectations.
(Cárdenas-Navia, Fitzgerald pg. 27) The authors say that this new field has paved the way for a new kind of liberal arts major who is equipped to thrive in the increasingly technological world. (Cárdenas-Navia, Fitzgerald pg. 28) The authors also highlight that data scientist programs are predominantly located in the computer science departments and the schools of engineering. (Cárdenas-Navia, Fitzgerald pg. 28) This limits the field to only STEM students, who already have experience and are familiar with physics, mathematics, computer science, and basic engineering principles. (Cárdenas-Navia, Fitzgerald pg. 28) As a result, this field has a reduced diversity of data-enabled professionals. (Cárdenas-Navia, Fitzgerald pg. 28) The authors mention in this article that BHEF has been working with different colleges and organizations to introduce liberal arts majors to data science, and have also challenged undergraduate institutions to consider including data science and analytic coursework along with hands-on experience to their liberal arts curriculum in the process. (Cárdenas-Navia, Fitzgerald pg.
While I have avoided taking this statistics course until now, I know the expectation that
In the article "Using real world examples to enhance the relevance of introductory statistics course" the author explains the importance of statistics by applying it in real life instance and other factors such as attractiveness, sports etc. Statistical analysis helps to determine accurate information when measures of statistics are applied correctly. In the article, each example has been analyzed and studied properly to draw reliable conclusion through statistics. Therefore, I agree with the author that statistics are helpful to make decisions in medical, business, social and other fields.
Advanced Statistics has always been an intriguing and complex concept to study. In recent years, statistics educators have focused attention on rethinking the process of statistics education at both the college and pre-college levels. Research suggest that while statistics educators have focused on improving the cognitive side of instruction, i.e., the skills and knowledge that students are expected to develop, little regard has been given to non-cognitive issues such as students' feelings, attitudes, beliefs, interests, expectations, and motivations. Despite the difficulty of fully understanding statistics, it is one of the most important things that you can study. Statistics is the science of learning from data and just about everything you do includes data. Due to the large number of students reporting feelings of stress and anxiety, McGrath, Ferns, Greiner, Wanamaker, and Brown (2015) conducted a study on students taking Advanced Graduate Psychology Statistics Courses. The purpose of the study was to examine how to reduce anxiety and increase self-efficacy with an Advanced
Statistics is an important technique of information process, and the number is as good as the information put into them. Statistics help us to tell the story of what is going on in our world today through data transformation into information. Envisage the world without statistic; countries were going to struggle to solve some challenging problems. In fact, statistics give us the perspective of the world we live in today than we cannot get in any other ways. However, living according to statistics can be a bit daunting because it is significant and dangerous as well as depending on the circumstances of investigation.
The field of statistics is a standout amongst the most ordinarily utilized numerical fields as a part of ordinary life and is available in games, media, and business organizations. The world depends on insights to assemble essential data and to precisely anticipate data for different imperative purposes. Nonetheless, the field of statistics is not as ancient as society may think it to be. It was initiated in the mid Twentieth Century with the establishing of the primary statistics departments on the planet. Karl Pearson, the admirable mathematician, is known by multiple people as the "father" of modern statistics, a eugenist, publisher of books in the mathematic, science and philosophy field. Karl Pearson 's contributions to the
MATLAB is an efficient, user-friendly and interactive software package, which is very effective for solving engineering, mathematical and system problems. Two versions of MATLAB commercially available are the professional and the student versions. The professional version includes only the standard tool box and any other tool boxes must be purchased separately. The size of the matrices is limited by the memory constrains and is expensive. The student version of MATLAB includes the basic tool box, Simulink and symbolic tool box functions. The size of the matrices is large but limited and inexpensive. Standard student packages are signal processing, control systems and symbolic math. MATLAB is a high-performance language for technical computing.
It is hard to imagine what life would be without statistics. A lot of people start to think of becoming statisticians. Not only their math abilities make them feel confident to
This investigation which I carried out is closely related to statistics, where its main objective is to help us understand how a large amount of data is analysed and tabulated with the help of sampling and estimation, as well as its application in real life. In this investigation, we were instructed to analyse the census data tabulated from the respondents, where they input the data through a survey form available online. The respondents consist of students who are taking South Australian Matriculation course at Taylor’s College Subang Jaya. We were to carry out a series of analysis regarding the variables derived from the census data, and interpret the results obtained with the application of statistics knowledge.