Participants explore the field of web and mobile app development through a common language, JavaScript, and a variety of other languages, tools, and frameworks, in SMU's Advanced Diploma in Web and Mobile Application Development. The Singapore Polytechnic (SP) School of Computing is pleased to introduce the Software Engineering Professional Programme (Azure DevOps Engineer). Reach Us. Course fees will be highly subsidised, to keep the SGUnited Skills programme affordable. Programme aims. In this course, we will first cover the basics of programming and then focus on using Python on the entire data management process from data acquisition to analysis of data big data and small data. Key to the job role is being able to activate and navigate around marketing technological tools which will be introduced at both sectoral fundamentals & job specialisation levels, with key skill emphasis in these few areas of digital marketing – SEO, Affiliate Marketing, Digital Media Buying, Content Creation & Development for digital platforms & Campaign Analysis. Python is a first-class programming language for modern web and mobile development and is used by companies like Instagram, Spotify, Amazon and more. database for analytics; data visualization; programming for analytics; Courses are offered in a seven-week accelerated format. At least 18 credit hours must be at the 6000-level or above. This programme provides participants with a deeper understanding of how the two fields can reinforce and complement each other, and be well-equipped to handle the broad and changing needs of app development in the real world. “In recent years, the application of data analysis has become the norm for tackling real-life issues in many areas, from determining insurance premiums to establishing artificial intelligent devices,” he said. A new generation increasingly finds themselves in jobs that didn’t exist just a few years ago, and what careers of the future will look like is anyone’s guess. Trainees will also receive a training allowance of $1,200 per month for the duration of the programme, to cover basic subsistence expenses*. The program also teaches how to implement analytics efforts via project management and business score-carding. * Trainees who are concurrently receiving COVID-19 Support Grant (CSG) or Self-Employed Person Income Relief Scheme (SIRS) payouts will receive a lower training allowance as they are already receiving income relief. Students will also learn how to decipher insights and craft thoughtful narratives from data. As one of the Cox School's most popular professional development programs, the GBACP helps you expand your network with professors, industry experts and classmates across a variety of industries and locations. Individuals can use their SkillsFuture Credit to offset the course fees. Prerequisite(s): COMP 1630 and COMP 2362 New Data Science and Analytics major available for all SMU students From August 2019, students in all six SMU schools can prepare for the world of big data by taking up this second major The only constant is change — this adage has never been more apt, with traditional industries now being upended by technology all over the world. Upon completion successful students will be prepared to move on to MATH 1060 Statistics for Data Analysis, COMP 2854 Data Analytics Fundaments and later COMP 4254 Advanced Topics in Data Analytics. Get on board by building essential digital skills that are readily applicable across workplaces. Avoiding Pitfalls in … This programme will be rolled out progressively from July 2020. Introduction To Data Analytics; Introduction To Data Visualisation The M.S. Less technical skills are no less crucial for success in their professional fields, he elaborated. In particular, students will get an insight into how big data is managed and useful information extracted to better make informed decisions. Explore one of the most versatile, popular and free-to-use open source programming languages and learn how Python can optimise your digital solution development cycle and workflow with SMU’s Professional Certificate in Python Programming. To help “future-proof” the next generation and prepare them for the unpredictable challenges of tomorrow, universities also have to stay one step ahead by equipping their graduates with the right skills and knowledge. To facilitate transition to employment as and when job opportunities are present, the SGUnited Skills programme will be conducted in a modular format. The second semester focuses on deepening skills and applying them to real-life problems. More details coming soon. Since Big Data Analytics is all about data crunching, the most important skill … Big Data Analytics Essentials (30 hours) This module introduces big data concepts, explains the importance of data mash-ups for big data and how big data analytics can be used to solve business problems in the real world. It focuses on the application of methodologies and techniques for big data analytics. The course emphasises collaboration, experiential learning and team building to solve data-driven challenges. While the amount of data being produced is proliferating at a staggering rate, the skills to extract information and the value we receive from it are both relatively scarce. This is a Programme offered to trainees with coding background such as engineering and computer science to become blockchain developers, project managers, business analysts and consultants in the Financial Services Industry.. It is also an interpreter compiled byte code programming language and an open-source scripting language. The main aim of the Diploma in Data Analytics is to give students the knowledge and practical insight into the workings of the business analytics industry. New students are admitted in the fall and spring semester. 508 Bishan St 11, #01-386 Singapore 570508. The aim of this course is to enhance your knowledge and skillsets to perform more advanced analytics tasks by equipping you with advanced skills such as augmented analytics apabilities to streamline data preparation, dataexploration and insight discovery; use automated Machine Learning (ML) to automate ML modelling and model operationalization; select and use appropriate tools to automatically find and visualise insights; and collaborateinsights through eective data storytelling. This programme enables learners to: i) Frame problem statements using the lens of Data Science to design and select the most appropriate Machine Learning models; ii) Implement machine learning techniques and algorithms in an AI application; and iii) Design, project manage and develop an AI & Machine Learning project that solves a real world problem. Cloud Computing. My only feedback for UofT is that there should be a faster way to finish the courses. The need to handle, prepare, analyse and model data of varied structures is prevalent in the modern day industrial setting. Advanced Diploma in Python Programming and Applied Data Analytics This programme offers students the opportunity to advance their careers and highly sought after skills for the new digital economy. As a university, it’s important for SMU to respond to this demand and make the study of data science a mainstream discipline that is available to all SMU students, no matter which school they come from. Unlike any other postgraduate analytics programme, the MSA’s data and analytics track goes deep into the application of data technology in the accounting domain. These include a deep familiarity with the subject matter, the ability to explain results in accessible ways, and being able to understand the pros and cons of different approaches. Trainees will also have the chance to apply the skills learnt during the programme, through opportunities like workplace immersions and industry projects. The training courses are designed in partnership with the industry to help trainees acquire industry-relevant skills that can improve their employability. CIND 820 - Big Data Analytics Project; CIND 830 - Python Programming for Data Science; CMTH 642 - Data Analytics: Advanced Tools; Ownership Statement: CAP® is a registered mark of the Institute for Operations Research and the Management Sciences (INFORMS). NIIT offers various training programs and certification courses in data analytics for graduates in India. To receive the Advanced Certificate in Applied Data Analytics, individuals will need to complete all the following modules offered by Singapore Management University Academy: Applying Data Analytics to Sales and Marketing through Linear Models. This course focuses on equipping you with knowledge and skills in financial analytics. A lab-based practise training module and 2 project-based training modules are designed to provide the unique opportunities to the participants to learn and apply the cutting edge technologies and skills in data mining techniques, overall equipment effectiveness, production planning and scheduling for smart manufacturing and data analytics-driven inventory planning and equipment condition monitoring techniques. To receive the Advanced Diploma in Data Analytics and Machine Learning, individuals will need to complete the following Certifications offered by Singapore Management University Academy: Certified Data Analytics (R) Specialist. It’s important to note that merely knowing the approaches behind data analysis does not guarantee anyone a successful career, cautioned Professor Kwong. All Rights Reserved, New Data Science and Analytics major available for all SMU students. Core coursework is designed for students to develop a foundation in statistical analysis and cultivate technical skills in programming, data mining, machine learning, database management, and data and network security. Big Data Analytics as the name suggests, is analysis of a large amount of structured and unstructured data to draw key insights which can help the company in taking crucial business decisions. This programme is a collaboration between Google, IMDA and SMU that helps train young professionals who are looking to enter the data and analytics sector in Singapore, with the skills they need to gain a competitive edge in the world of data driven innovation. Core courses in this programme include Statistical Inference for Data Science and Computational Thinking, while elective options include Introduction to Artificial Intelligence, and Text Mining and Language Processing. The SGUnited Skills programme is a full-time training programme ranging from six to 12 months. The university also offers popular part-time intro courses in Python programming, Hadoop and Tableau, and Big Data, to name a few. Ian also teaches at the Singapore Management University (SMU) where he delivers classes in Data Science and Cloud Computing to working professionals under SMU Academy's Advanced Certificate in Applied Data Analytics and Certificate in Technology Foundations programmes. Online media consumption has seen tremendous growth and demand across digital devices. Trainees will also benefit from employment facilitation efforts offered by training providers. The company isn’t alone. The Data Analytics Bootcamp seeks to address the burgeoning demand for professionals equipped with the necessary technical competencies in manipulating, visualising and analysing data. To prepare students for the real world upon graduation, the DSA major gives students the opportunity to experience practical applications of both statistics and computational science. This programme aims to provide trainees with the fundamental knowledge to be a digital marketing executive with the general knowledge of marketing, consumer research, digital marketing analytics & integrated digital marketing communications. This programme offers students the opportunity to advance their careers and highly sought after skills for the new digital economy. All that collection, analysis, and reporting takes a lot of heavy analytical horsepower, but ForecastWatch does it all with one programming language: Python.. The content includes Applied Data Analytics using the R programming language and packages, further Statistics for Data Science, Data Visualisation techniques and Business Intelligence theory and applications using widely used commercial tools. Thanks to its versatility, it continues to reign as the tool of choice for companies for data analysis and visualization. The most important consideration was to decide what courses should be included to provide synergy and complement existing SMU programmes,” said Professor Kwong. This is to facilitate trainees who are keen to further their education in a new or reskill knowledge domain as part of the journey in being a life-long learner. Receive an allowance of S$1,200 a month while reskilling/ upskilling yourself through subsidised courses! This course includes examples of analytics in a wide variety of industries, and we hope that students will learn how you can use analytics in their career and life. In a data-driven economy, the ability to make better decisions, create value and develop a sustained competitive advantage using data analytics techniques, is imperative. This course aims to equip you with knowledge and skills in financial analytics to apply business intelligence techniques to produce reports on business performance; select and use appropriate business intelligence applications to support business objectives; apply financial services knowledge to new Fintech business models;and develop a financial analytics project using business intelligence techniques. Students will learn how to use the right software and techniques to read visual and statistical data and present it in a way that solves real world problems. To qualify for the M.S. The only constant is change — this adage has never been more apt, with traditional industries now being upended by technology all over the world. Database Fundamentals, Data Analytics and Big Data. Students will learn how to use the right software and techniques to read visual and statistical data and present it in a way that solves real world problems. The objectives of the Specialist Diploma in Data Science (Data Analytics) are to provide training in the fundamentals of statistics and programming for data science, and to provide training on specialised skills in the areas of data mining and applied statistical methods. From August 2019, students in all six SMU schools can prepare for the world of big data by taking up this second major. “For example, most new DSA courses will extensively use the R-programming language, as it is one of the most popular open-source software packages for statistical analysis.”. It is still essential for students to have a strong mastery of their main course of study. More than ever, jobseekers need to stay creative and adaptable. Jump on board the social media bandwagon, and learn how to tap on social media to enhance one's digital presence. 80 Robinson Road #08-01, Singapore 068898, © 2018 Singapore FinTech Association | All rights Reserve | Data Protection Policy | Company UEN: T16SS0197E, Advanced Diploma in Python Programming and Applied Data Analytics, SGUS for Digital Transformation and Innovation ™, Digital Design & Marketing for Wholesale Trade, Data Analyst for Wholesale Trade (Data Analytics Bootcamp and Financial Management Bootcamp (Blended)), Advanced Diploma in Web and Mobile Application Development, Software Engineering Professional (Web Application Developer), Software Engineering Professional Programme (Azure DevOps Engineer), Data Science Professional (AI & Machine Learning App Developer), SGUS Specialist Diploma in Data Science & Analytics. The programme will comprise certifiable courses delivered by Continuing Education and Training (CET) Centres, including Institutes of Higher Learning. MSc in Accounting (Data and Analytics) The MSA programme is the first specialised Master’s degree in accounting data and analytics in Asia. “While designing the DSA curriculum, we investigated and discussed the general expectations of different stakeholders: students, academic faculty and potential employers. in applied statistics and data analytics, the student must successfully complete at least 36 credit hours acceptable to the departmental faculty, distributed as follows. This will provide you with the programming knowledge required to do the assignments and application projects that are part of the Applied Data … NIIT programs in data analytics are specially modeled to help them learn data analytics tools and methods to build an aspirational career in data analytics. Bishan Campus. The Singapore Polytechnic (SP) School of Computing is pleased to introduce the Software Engineering Professional (Web Application Developer). Develop in-demand IT skills at SMU Academy (by Singapore Management University) with our highly qualified instructors. SMU turns 20 this year! Learn how design and creativity blends with technology and businesses as you discover the ins-and-outs of website creation, design principles combined with design thinking and critical thinking skills. The demand for data scientists has not kept pace with the requirement leading to Data Science being a sought after skill. According to a 2013 survey by industry analyst O’Reilly, 40 percent of data scientists responding use Python in their day-to-day work. ... 2-day Intro to Python Programming 2019. Data is ubiquitous in government and in industry sectors including banking, insurance, healthcare, telecommunications, design and manufacturing, and retail. Website Ratio: 10:1 Average Graduate Tuition: $52,816/year Students will learn how to use the right software and techniques to read visual and statistical data and present it in a way that solves real world problems. This is why SMU, which constantly reviews its undergraduate curriculum, recently announced the launch of a new major in Data Science and Analytics (DSA), which will be available to students from across its six schools starting August 2019. SMU Academy is pleased to offer the following programmes under the SGUnited Skills Programme. Gain a solid foothold in one of today’s fundamental programming languages. #8 -Boston University – Boston, Massachusetts Online Master of Science in Applied Business Analytics. This programme consists of 10 training modules. And there is a shortage of skilled data analysts in most countries, including Singapore.”. 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