bullshit) machine learning/data science courses. Statistics was primarily developed to help people deal with pre-computer data problems like testing the impact of fertilizer in agriculture, or figuring out the accuracy of an estimate from a small sample. The outlook in terms of career prospects is positive. It appears that formal university training in Data Science evolves as a hybrid between Computer Science and Statistics, with a technical focus towards Big Data technologies. According to Larry Wasserman: In his blog, he states how the same concepts have different names in the two fields: Robert Tibshirani, a statistician and machine learning expert at Stanford, calls machine learning “glorified statistics." Both terms have similarity, but there is a significant difference between the two. for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Statistics & Computer Science. To clarify Developing the perspectives on a few analysts, this paper supports a major tent perspective on data study. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS. Data science vs. computer science: Education needed Before jumping into either one of these fields, you will want to consider the amount of education required. Data science emphasizes the data problems of the 21st Century, like accessing information from large databases, writing code to manipulate data, and visualizing data. In contrast, data science is a multidisciplinary field which uses scientific methods, processes, and systems to extract knowledge from data in a range of forms. ALL RIGHTS RESERVED. And at a tech company like Twitch, it’s clear that applying those learnings requires a deep understanding of computer science. Another important aspect to consider when deciding between Data Science and Computer Science for your education is the type of work you’d like to be doing. A statistical background is essential for understanding algorithms and statistical properties that form the backbone of computer science. Similarities Between Data Science and Statistics Degrees. About 1/4 of my Statistics courses are computer science based (C programming, SAS programming, Discrete Mathematics, Numerical Calculus, and some upper level Stats classes that require programming skills).,
I can't give you much detail into what CS students do on the upper levels, but Statistics gives into a lot of methods and analysis classes. Data science is a specialized skill and can be understood as: Therefore, it is apparent that data science is an interdisciplinary area and needs varied skill sets to gain mastery in this domain. All this data is just noise unless it is analyzed and useful information is extracted from them. Though statistics provides the methods for data collection and analysis, it helps to obtain information from numerical and categorical data. It is used to measure or estimate an attribute, Applies statistical functions or algorithms on sets of data to determine values as appropriate for the problem being studied, Model big data for analysis towards understanding trends, patterns, behaviors and business performance, To design and formulate real-world questions based on data, Represent data in the form of tables, charts, graphs, Apply scientific methods in problem-solving using random data, Identifies data requirements for a given problem, Identify techniques to obtain desired results, Provide value to organizations using data, Use of mathematical formulas, models, and concepts, Estimate values for different data attributes. Let’s consider the CS issue first. To do so, they n… Do you want to build robots and develop autonomous systems? Below is the Top 5 comparison between Data Science and Statistics: Given below is the key differences between Data Science and Statistics: The differences between data science vs statistics are explained in the points presented below. Whichever one you are more passionate about will likely be easier. Both degrees focus on developing skills pertaining to data analysis, and both have courses designed to develop strong computer … "Computer Science" : "Statistics");
Eh, there's kind of a big difference. Data science is one of the most attractive career options of the past couple of years, with people from all walks of life transitioning into positions that combine analysis, statistics, machine learning, programming, and computer science to draw insights out of numbers.. Data science is more oriented to the field of big data which seeks to provide insight information from huge volumes of complex data. Applied Math?
I hope more can provide some input as to what I should look into.,
You feel intimidated by the intelligence level of tour schoolmates? Therefore, data scientists are considered to be familiar with business models and paradigms, who ask good business questions to obtain meaningful insights from given data sets. department and see what I can do about developing a minor type program.,
Ugh, or not. Computer science degree recipients not only work for technology companies, but also frequently enter the finance sector and the retail industry, experts say. Statisticians are heavily focused on the use of a special type of metric called a statistic. Also, you'll likely find that a lot of people in college talk themself up because they have inferiority complexes and are usually doing worse than you.,
IMO, a degree in Statistics (which is rarer) can separate you from those with degrees in Computer Science (which is more common).,
There is a lot of crossover between the two degrees. There are some things, but the majority will not be statistics related in a traditional sense. Continue reading. Computer Science VS statistics 05:09 read (words) Print Email. The Computer Science deals with algorithms with more focus on software engineering and development. Data science vs. computer science: Common job duties . Data scientists use methods from many disciplines, including statistics. Machine learning is generally taught as part of the computer science curriculum, and statistics is taught either by a dedicated department or as part of the math department. Data science and statistics will continue to exist and there is a big overlap between these two disciplines. An interdisciplinary area of scientific techniques, Similar to data mining uses processes, algorithms, and systems, Extract insight information from data (structured or unstructured), Provides a collection of methods in representing data, Provide methods for designing experiments, Plans data collection, analysis, and representation for further evaluations, Encompasses machine learning, other analytics processes, business models, Uses advanced mathematics and statistics to derive new information from big data. While data science vs. computer science may represent distinct employment fields, the U.S. Bureau of Labor Statistics (BLS) combines these two areas in its projections. On top of that, AP Computer Science is perceived as being much harder than AP Statistics. The intersections of those fields mean a lot of things. However, generally, you go to your lectures where the lecturer goes over theoretical and practical concepts, and each week you have a problem set you have to work through during your tutorial classes. Computer science is the study of algorithmic processes, computational machines and computation itself. Computer Science Salaries. Archived. The two fields are converging more and more even though the below fi… Departmental distinction: To graduate with distinction requires a specified minimum grade point average in all Computer Science, Statistics, and Mathematics courses listed below. Computer Science vs. Computer Engineering; Cyber Security vs Computer Science; Data Analyst vs Data Scientist; Data Analytics vs. Business Analytics; Data Science vs. Machine Learning ; Resources; About 2U; Data Science vs. Machine Learning. Computer science is the study of algorithmic processes, computational machines and computation itself. Because you an apply it and get the hang of the newer and newer stuff being released? vs. Computer Science? Close. Computer science and software engineering may share some overlapping commonalities, however, the principles behind each field of study can offer several differences. Statistics provides the methodology for making conclusions from data. In fact, the comparison doesn’t make much sense. IT vs. computer science: The basics. According to recent figures from the UK’s Higher Education Statistics Agency (HESA), Computer Science is taught at 123 UK universities, and the academic year 2013-14 saw 91,565 undergraduate students (in years 1-3) undertake the subject. Data science combines the application of subjects namely computer science, software engineering, mathematics and statistics, programming, economics, and business management. This is contrary to statistics which confines itself with tools such as frequency analysis, mean, median. Data science also includes things like data wrangling and preprocessing, and thus involves some level of computer science since it involves coding, setting up connections and pipelines between databases, web servers, etc. If you have good results, you may be able to continue for another year to complete Honours in Computer Science, Mathematics or Statistics. Statisticians use these statistics for several different purposes. Data science combines multi-disciplinary fields and computing to interpret data for decision making whereas statistics refers to mathematical analysis which use quantified models to represent a given set of data. Bachelor's Degree, Computer Science (CS) - Salary - Get a free salary comparison based on job title, skills, experience and education. CS set the stage for data science in that it provided the programming languages necessary to process big data. Computer science graduates enjoy excellent career prospects as the majority of businesses worldwide require personnel skilled in programming, systems analysis and the management of computer resources. Computer science involves more independent work creating computer programs and applications, using algorithms and writing code. An unchanged top five universities lead this year’s ranking of the best places to study computer science & information systems, with Massachusetts Institute of Technology (MIT) continuing to perform particularly well in our employer reputation survey. That alone is basically the prerequisites to take serious (ie not big picture/toy stuff "for everyone!" Berkeley's overall acceptance rate is 17%, but its Computer Science acceptance rate is only 8.5%. College Majors. Data science also includes things like data wrangling and preprocessing, and thus involves some level of computer science since it involves coding, setting up connections and pipelines between databases, web servers, etc. I'm guessing your university doesn't have a business school.,
In all seriousness you sound like a smart guy. If you want to be a data scientist, get a BSc in computer science and do a minor in math and if you can fit it in do a 2nd minor in statistics. The following list, from payscale.com, shows average computer science … Statistics play an intrinsic role in computer science and vice versa. Computer Science (Online MCIT UPenn) vs Statistics (Online MS @ Texas A&M) Question. Computer Science vs. Statistics. Marketing + coding = growth hacking. Prospective Students Undergraduate Postgraduate International PhD Programme Research News. Wall street employs these sorts of people and calls them quantitative analysts. Statistics is a mathematically-based field which seeks to collect and interpret quantitative data. There are even a few schools with Computational Statistics programs.,
I need to choose soon, though. Data science has developed recently with big data and will continue to grow in the coming years as data growth seems to be never-ending. In addition, nowadays businesses consider the internet as their primary information channel due to the growing role of social web and for its business potential. Hadoop, Data Science, Statistics & others. Administered by the School of Computer Science and Engineering, this is a full Computer Science degree plus a Science degree. For more information on the program structure and content, view the Science Undergraduate Handbook. Given below is the key differences between Data Science and Statistics: Data science combines multi-disciplinary fields and computing to interpret data for decision making whereas statistics refers to mathematical analysis which use quantified models to represent a given set of data. When considering a data science degree vs. statistics degree, it’s important to understand the underlying similarities. Computer science-related degrees also see a relatively low percentage of female graduates. If I want to read some books, I'll do so. Applied Math? Data science—and its differentiation from statistics—has deep roots in the history of computers. Most do not consider AP Computer Science 'math' enough for it to play that role, hence the surge in AP Statistics. Also to note, all statisticians cannot become data scientists and vice-versa. One is that computer science deals with the science behind the interaction between hardware and software systems and computational … If you really can't decide:. A stats major is more interested in the outcome of data analysis (which is most often done with a computer) in order to make inferences and decisions - is more of an analytical person.,
You may want to look into the "computational" type majors, like Computational Math, Computational Engineering/Science. And maybe, statistics + coding = data science. IMO, a degree in Statistics (which is rarer) can separate you from those with degrees in Computer Science (which is more common). For a Junior or Senior looking for a reliably easy AP, Computer Science is not the way to go. Try your hand at both and maybe you could even double major.,
I'm going to add more and see what you guys think.,
I originally applied to college as an English major due to my double 5s on the AP tests. There is a lot of crossover between the two degrees. Let’s consider the CS issue first. Which one will have the most job opportunities in the near future (10 years approx)? Both data science and computer science occupations require postsecondary education, but let’s take a … A data scientist is an individual with adequate domain knowledge relevant to the question addressed. vs. Statistics? Applied Math vs. Computer Science vs. Statistics Thread starter avant-garde; Start date Apr 8, 2009; Apr 8, 2009 #1 avant-garde. But of course, that's a personal choice....,
There's no harm in taking a probability or stats class your first and also taking a programming class. Because you an apply it and get the hang of the newer and newer stuff being released?. The computer science approach, on the other hand, leans more to algorithmic models without prior knowledge of the data. Posted by u/[deleted] 11 months ago. [quote] When considering a data science degree vs. statistics degree, it’s important to understand the underlying similarities. An Honours degree in computer science also naturally leads to a research higher degree at master or doctorate level. Engineering Majors. This has been a guide to Data Science vs Statistics. Students studying programs in Computer Science, Mathematics, and Statistics gain insights from all three disciplines, making them a v… In other words, computer science deals with programming software and hardware where data science deals with analytics, programming, and statistics. 189 0. 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