Everything's software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. A complete list of E-Books packages relevant to School of Business. This is the first textbook on pattern recognition to present the Bayesian viewpoint. Learn the basics in our introductory modules on topics such as Mathematics, Statistics, Economics, Accounting, Marketing, Decision Science, Industrial and Systems Engineering, Computer Science and Information Systems. 11 Core Subjects 2. Classes will be conducted in full-time mode. For each problem, you'll walk through defining your question and the answers you'll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. It is closely related to the fields of data mining and machine learning, but broader in scope. * Who is more likely to use online dating services? 3. The advantages of Julia for data science cannot be understated. NUS e-OPEN HOUSE 2020 . Candidates with degrees from other universities will be considered on a case-by-case basis. No previous knowledge of pattern recognition or machine learning concepts is assumed. The secondary readership is data scientists, DBAs, analysts, senior management, HR managers, and performance specialists. It looks like you're using Internet Explorer 11 or older. This book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science. • Upon completion of the modules in each certificate (certificate 1-3, 6-7), trainees will be awarded a Certificate of Completion• Upon completion of all modules in certificate 4 and 5, trainees will be awarded with the Post-Diploma Certificates (PDC) respectively. But for the large part, most companies do not even know there's such a thing as data science. Statistical modeling, machine learning, and data mining--including supervised and unsupervised data mining methods--are treated in detail, as are time series forecasting, text mining, and natural language processing. (Hons.) A. Ohri is the founder of Decisionstats.com and currently works as a senior data scientist. This book provides you with the know-how to dig those answers out. * Features a quick-learning format with concise tutorials and actionable analytics * Provides command-by-command translations of R to Python and vice versa * Incorporates Python and R code throughout to make it easier for readers to compare and contrast features in both languages * Offers numerous comparative examples and applications in both programming languages * Designed for use for practitioners and students that know one language and want to learn the other * Supplies slides useful for teaching and learning either software on a companion website Python for R Users: A Data Science Approach is a valuable working resource for computer scientists and data scientists that know R and would like to learn Python or are familiar with Python and want to learn R. It also functions as textbook for students of computer science and statistics. The formula here is quite simple, and you can find more about the CAP system on the NUS website. This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. Certificate in Introduction to Analytics, Cyber Security, AI and Blockchain (1 month)This certificate introduces key concepts in the areas of data and visual analytics using Power BI, statistics, cyber security, blockchain, AI and machine learning. Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today! 7. You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Data Science : Create Teams That Ask the Right Questions and Deliver Real Value. If you get an A (5.0) for your 4 MC module, and a B (3.5) for your 2 MC module, then your CAP will be: ((4x5)+(2x3.5))/(4+2) = 4.5. Degree Programme in Data Science and Analytics . The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. It is the next learning curve for those comfortable with Spark and looking to improve their skills. The book has three overarching concepts: You should mine your own company for talent. Focusing on a sequence of tutorials that deliver a working news intelligence service, you will learn about advanced Spark architectures, how to work with geographic data in Spark, and how to tune Spark algorithms so they scale linearly.Style and approachThis is an advanced guide for those with beginner-level familiarity with the Spark architecture and working with Data Science applications. Participants must complete PDC1 before they can progress to PDC2. As an emerging discipline, data science broadly means different things across different areas. Upon completion of study, students are awarded a Master of Science (MSc) in Analytics degree. Trainees must fulfil minimum attendance requirements and pass assessments to qualify for course fee subsidies. REQUIREMENTS FOR COMPLETION AND GRADUATION To graduate from our NUS MSc in Marketing Analytics and Insights programme, you must complete the programme requirements and achieve a Cumulative Average Point (CAP) of at least 3.0 (out of 5.0). Spark has emerged as the big data platform of choice for data scientists due to its speed, scalability, and easy-to-use APIs.This book deep dives into using Spark to deliver production-grade data science solutions. You can also use the CAP calculator online to simulate different grades and see how they'll affect your CAP. remove. Our stackable modules give learners the ability to choose the exact set of skills they want to master. This process is demonstrated by exploring the construction of a sophisticated global news analysis service that uses Spark to generate continuous geopolitical and current affairs insights.You will learn all about the core Spark APIs and take a comprehensive tour of advanced libraries, including Spark SQL, Spark Streaming, MLlib, and more.You will be introduced to advanced techniques and methods that will help you to construct commercial-grade data products. Suitable applicants who are shortlisted may have to go through an interview and/or entrance test. Reviews data visualization using the Gadfly package, which was designed to emulate the very popular ggplot2 package in R. Readers will learn how to make many common plots and how to visualize model results. * Does the presence of children influence a family's spending on alcohol? The DSA major is jointly offered by the Statistics department and the Mathematics department in NUS, with support from the School of Computing. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. Feel free to contact us for help on the following: NUS Libraries' services, resources and facilities; Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? All core and elective modules are worth 4 MCs each, unless stated otherwise. 1 Dec & 7 Dec 2020 (9am – 5pm) 10 Dec 2020 (9am – 11am) Duration. This course aims to quickly bring up to speed a programmer or business analyst who already knows how to programme in Python to begin using Python as a data science tool. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. Welcome to the Department of Analytics & Operations (DAO)! It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. b) Graduated from the educational institutions mentioned in (a) and completed or completing their National Service (NS) in CY 2019 / 2020 and are entering the labour force. Certificate in Essential and Emerging Skills for Employability (1 month)This certificate covers fundamentals in various essential areas within an organisation, which includes human resource, finance, design thinking, robotic process automation and digital marketing. (Hons.) Trainees are required to equip with a computer Notebook (installed with minimally windows10 OS) when attending lessons. Data Science and Big Data Analytics is about harnessing the power of data for new insights. Specialisations A specialisation in Financial Analytics will first be introduced in the 2021 intake. Unfortunately, there's been nothing easy about learning data science-until now. Certificate in Fundamentals of Data Science (2 months)To provide training in the fundamentals of statistics and programming for data science. * Does the higher price of cigarettes deter smoking? 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. His other books include R for Business Analytics and R for Cloud Computing. Data Science gets thrown around in the press like it's magic. } The MSc in Data Science and Machine Learning programme is offered jointly by the Department of Mathematics, the Department of Statistics and Applied Probability and the Department of Computer Science with support from the Faculty of Engineering, … With the skills and knowledge gained from this programme, participants will be able to take on new challenges in data analytics and statistics-related work which is critical to the fast growing data-driven economy of Singapore and to the fast changing industry-landscape here. Mastering Spark for Data Science is a practical tutorial that uses core Spark APIs and takes a deep dive into advanced libraries including: Spark SQL, visual streaming, and MLlib. There are more compulsory mathematics and computing modules in the DSA program. Such jobs involve extracting, cleaning, managing, analysing and modelling data that is useful to the business. This course provides graduates with fundamental skills in statistics, data mining and predictive analytics that are required by jobs in these industries. A managerial approach to understanding business intelligence systems. Teach your team to ask the right questions to gain actionable insights into your business. Career options include:• Data Analysts• Business Analyst• Manufacturing and Design Engineers• Researchers working with data. with a major in Statistics [160 MCs] B.Sc. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. Learn how to build a data science team within your organization rather than hiring from the outside. We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] But never fear, the topics are readily applicable and the author laces humor throughout. 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