# data science and analytics nus reddit

DSA1101 Introduction to Data Science is pretty easy, but for the stats portion of the module, also keep your A-Level Further Math notes. This capability based on data analytics is emerging as a critical factor to achieve competitive advantage. you can pm me as well (: New comments cannot be posted and votes cannot be cast, Looks like you're using new Reddit on an old browser. r/nus: The official NUS subreddit. This guide would set a framework that can help you learn data science through this difficult and intimidating period. Career prospects for the next 5-10 years shld be very good as Sg goes more and more high tech. An ability to function effectively in teams to accomplish a common goal. © Esᴛᴀʙʟɪsʜᴇᴅ MMXVII, Press J to jump to the feed. As a Business Analytics student, you will gain a solid foundation in the statistical and analytical methods that make up the backbone of data science. in Biomedical Engineering from Johns Hopkins University, and his Ph.D. in Biostatistics from Harvard University under the A*STAR (Agency for Science, Technology and Research) National Science Scholarship. Dr. Amirhassan Monajemi . Many profs and students in NUS (even in SoC) don't know what faculty DSA is under. it being under stats in nus makes me confused. NUS DSA major here, DSAI wasn't out when I applied but I just read the curriculum, Simply, if you aren't computing-inclined and if you want more theory into stats with a sprinkle of CS modules so you can be hire-able(? ), NUS DSA, If you're more computing-inclined and don't mind a more rigorous curriculum based around computing (with less emphasis on stats), go for NTU DSAI. Are there any seniors who could give advice on this major ?? “How Big Data and Analytics Reshape the Wearable Device Market: The Context of E-Health,” International Journal of Production Research. Senior here, finished Year 1 and about to start Y2 in August. If you have other questions, you can reply or pm me. NUS e-OPEN HOUSE 2020 . You have to fulfil another 6 lvl 3k-4k modules but you can choose all of it to be statistics or math mods. Students in both the Department of Computer Science and the Department of Information Systems and Analytics who aim for Honours (Highest Distinction) must pass the CP4101 B.Comp. Module 4: The Hadoop Ecosystem for Big Data. Amirhassan Monajemi is a Senior Lecturer in AI and Data Science with the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS).Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. Do you know people who don't? Prof Sun received his B.Sc. 0 comments. Had to find out the MOSS detector the hard way because I plagiarised by finding a senior's code to an assignment on GitHub. The age of the fourth industrial revolution has seen the explosion of data, with a mind-boggling 2.5 quintillion bytes of data created each day at our current pace. Sharma, R., Mithas, S., and Kankanhalli, A. (Hons) with Major in Data Science & Analytics (DSA) Data science is an inter-disciplinary field about processes and systems to extract knowledge or insights from data in various forms and makes use of techniques and theories drawn from the broad areas of computer science, mathematics and statistics. ... Close • Posted by 10 minutes ago. This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. You'll learn to work with spreadsheets, aggregate data, evaluate statistical significance, and determine statistical trends. Other than that, the rest of the CS mods (CS2040 and CS3244) don't require THAT much coding and focuses more on your understanding of the theory and math. The IGP for NTU is also significantly higher. save hide report. Why do you recommend people not to come nus dsa? Thank you so much, this is extremely helpful!!! Not a stupid question. Can anyone share what’s the subject requirements for the two courses? Press question mark to learn the rest of the keyboard shortcuts. best. share. The NUS-ISS Stackable Certificate Programme in Data Science, leading to the NUS Master of Technology in Enterprise Business Analytics is designed to meet the industry demand for data scientists who can help organisations achieve improved business outcomes through data insights. And for your second question, just check out the curriculum in NUS. Both courses are quite similar in curriculum but I've seen many ppl prefer the ntu dsai for various reasons. Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. Expect a fair bit of coding but comparable to a typical stats student rather than a CS major. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Do I need to get A for H2 Math to get into DSA? Coding wise, the toughest challenge would be CS1010S in year 1. I am from NUS CS so I will share what I know about the differences between the three in terms of what they teach. This subject guide covers resources available at the NUS Libraries. NUS Bulletin AY2020/21 Provost's Welcome Message Part I: General. Sort by. tl:dr of data science: u taking massive amounts of data and one way or another, using proven calculations etc etc generate useful patterns, info that can lead to better decision making etc. Master in Business Analytics - This course in Business Analytics is jointly offered by the School of Computing and the National University of Singapore Business School. ... help Reddit App Reddit coins Reddit premium Reddit gifts. The four-year direct Honours programme in Data Science and Analytics (DSA) is designed to prepare graduates who are ready to acquire, manage and explore data … The Data Science and Analytics (DSA) programme is a multidisciplinary undergraduate degree offered by the Department of The Bachelor of Science (Business Analytics) degree programme is an inter-disciplinary undergraduate degree programme offered by the School of Computing with participation from the Business School, Faculty of Engineering, Faculty of Science, and Faculty of Arts and Social Sciences. The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. Module 3: Architectural Viewpoints in Big Data. The Data Science & Analytics (DSA) program and the Business Analytics (BZA) program both train students to have a career in Data Science / Data Analytics, but they have different focuses. This is not a comprehensive subject guide, but rather a selective list of materials that are most useful for locating information in Data Science and Analytics. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. (Hons.) Dr. Amirhassan Monajemi . Data Science and Analytics Programme. Amirhassan Monajemi is a Senior Lecturer in AI and Data Science with the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS).Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. For Cohort AY2020/21 and earlier: With the exception of Computational Biology, Data Science and Analytics, Environmental Studies and Pharmacy which are strictly four-year programmes, all majors allow students to graduate with a Bachelor’s degree. A lot of the basic stats stuff you learnt in A-Levels will be retaught. The course aims to quickly bring up to speed a programmer or business analyst whoalready knows how to programme in other language or have done advanced Excel macros to begin using R as a datascience tool. a lot of it are hardcore math that’s why it is under statistics. Module 6: NoSQL Databases for Big Data. It was a story about diapers and beer that sparked Mr Ken Wong's interest in data analytics, leading to a 19-year career as a data scientist.. Read more at straitstimes.com. Follow the learning path which introduces Data Science from a practitioner point of view, to courses that discuss topics such as data compilation, preparation and modeling throughout the life-cycle of data science from basic concepts and methodologies to advanced algorithms. Feel free to contact us for help on the following: NUS Libraries' services, resources and facilities; Addendum: Never plagiarise code. Press question mark to learn the rest of the keyboard shortcuts. 1. IDS is a research institute that will be the focal point for all data science research and translation, education and related activities at NUS, which aims to contribute to Singapore’s Smart Nation initiative by developing deep and strategic capabilities in data science, analytics and optimisation, and cybersecurity. That is why I thought that I would create this guide, which could help people starting in Analytics or Data Science. The site may not work properly if you don't, If you do not update your browser, we suggest you visit, Press J to jump to the feed. Module 2: Understand Big Data from an Analytics Perspective. Degree Programme in Data Science and Analytics . Data Science and Analytics. This course is aligned with the Infocomm Technology Skills Framework for Data Analyst and Data Scientist and will use R,a widely used statistical package. Module 1: Introduction to Data Science, Data Engineering and Big Data. Older companies also will kiasu and try to use data science to revive themselves. Module 5: Distributed File Storage. You can stare at a question for 5 hours straight and not even solve it until you figured out a solution while you're showering in a cubicle. New comments cannot be posted and votes cannot be cast, Wᴇʟᴄᴏᴍᴇ ᴛᴏ ʀ/SGExᴀᴍs – the largest community on reddit discussing Singapore schools and examinations. Are there any seniors who could give advice on this major ?? A lot of coding is needed in data analytics if you aim to go out to the industry but this is not really reflected in our curriculum because the main goal for NUS is to train more students to be researchers (to boost their ranking) hence more theory mods (Math/Stats). I'm considering between nus data science and analytics course and ntu dsai course. Telling you to keep them because lecturers' notes are generally full of junk derivation and proofs/identities (I have the same opinion for other math modules as well). This is achieved by integrating statistics, mathematics and … The NUS Business Analytics Centre (BAC) was established in 2013, in collaboration with IBM, to develop the skills and knowledge of professionals in business analytics. Expect to put most of your time into programming as compared to other modules. B.Sc. This course is part of the Data Science and Graduate Certificate in Advanced Predictive Modelling Techniques Series offered by NUS-ISS. Keep your A-Level Further Math notes, those notes are helpful when you take MA1101R Linear Algebra. The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. Hi guys! 99% Upvoted. You can change the names/values of your code or add some extra spaces/empty lines, the MOSS Detector will weed you out. ^ (1) As part of the Data Science and Analytics programme, FoS is planning to co-develop modules on data analytics for functional areas such as business, healthcare and public policy making with other Faculties/Schools. It will provide students with a solid foundation in data science and machine learning, and computing skills in data analytics. Start playing with Python yourself right now, it'll make your like easier when you do CS1010S Programming Methodology. Dissertation. Strong knowledge of data analytics foundations and fundamentals, including: familiarity with data analytics and programming principles, and; high and broad understanding of the application of analytics in various industrial domains. Nah it’s not a stupid question because by looking at our curriculum, it certainly will confuse many people. DATA SCIENCE AND ANALYTICS FAQs . Not sure about NTU but I heard they have more emphasis on the CS side and having a smaller cohort (I think 20+ vs NUS's 180) helps them focus more on each student. The course will define data science and explore the first two things a data scientist must do – cleaning and visualising data. hi data science y1-going-y2 senior here, what would you like to know about this course? This is a four-year direct honours programme which offers a common two-year broad-based inter-disciplinary curriculum where all students will read modules in Mathematics, Statistics, Economics, Accounting, Marketing, Dec… It's basically Matrices with some extra stuff. The idea was to create a simple, not very long guide that can set your path to learning data science. It delivers the most complete range of analytical solutions, using simple to advanced statistical techniques, predictive analytics and data mining technology to help organisations turn data into business insights.

On 21 March 2007, SUSS and SPSS signed an MOU to promote training and continuing education in Business Analytics. The NUS degree programme in Data Science and Analytics (DSA) equips students with analytical and communication skills to extract insights from data for business competitiveness. Hence, any seniors who chose nus dsa pls enlighten me on why you prefer that to ntu one :'). And explore the first course in a Series of three courses for the courses. Offered by NUS-ISS years shld be very good as Sg goes more and more high tech scientists are constantly patterns. Techniques Series offered by NUS-ISS, mathematics and … data science and analytics course and ntu dsai for reasons. Substantial strengths in data analytics determine statistical trends log in sign up dsai. Msc in data science has its own specialisations and unique learning paths can be followed different! Course data science and analytics nus reddit define data science and analytics in nus to use data and... 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