Reach Us. 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.. This programme offers students the opportunity to advance their careers and highly sought after skills for the new digital economy. 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. You’ll develop proficiency in core Python; data analytics tools like NumPy, Pandas, and Matplotlib; and specific libraries for interacting with web data, like Requests and BeautifulSoup. Gain a solid foothold in one of today’s fundamental programming languages. 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. If you are looking to start a career in data science, or even further your current career, our Online Data Analytics MSc will provide you with vital skills required to develop your modelling and data handling expertise. COMP 2454 is a required course in the Applied Data Analytics Certificate, ADAC from BCIT Computing. The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data. 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. 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. Since Big Data Analytics is all about data crunching, the most important skill … Students who enrol in the NUS-FinTechSG Programme will undergo a structured two-month intensive full-time course on the fundamentals of FinTech and business, subsequent programming concepts, as well as knowledge and development tools used in the FinTech industry. 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. The training courses are designed in partnership with the industry to help trainees acquire industry-relevant skills that can improve their employability. SMU Academy is pleased to offer the following programmes under the SGUnited Skills Programme. All Rights Reserved, New Data Science and Analytics major available for all SMU students. At least 18 credit hours must be at the 6000-level or above. Kwong Koon Shing, Professor of Statistics (Education) at the SMU School of Economics, described the DSA major as a timely response to current rapid developments in the field of data science. It focuses on the application of methodologies and techniques for big data analytics. The first course and certificate discussed starts with learning Python and Data Analytics. Digital media is on the rise, are you ready for it? 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. 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. Prerequisite(s): COMP 1630 and COMP 2362 Because of this, more than ever, we are in need of analytics-intelligent executives.” Mr Lyon Poh, Partner and Head of Digital + Innovation, KPMG Services Pte Ltd: "Data is the fuel of the digital age, and goes to power Industry 4.0. The course emphasises collaboration, experiential learning and team building to solve data-driven challenges. My only feedback for UofT is that there should be a faster way to finish the courses. * 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. 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. Applied Data Analytics. 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. This is a Programme offered to trainees who are in Information and Communications Technology (ICT) Industry. This programme will be rolled out progressively from July 2020. 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! Get on board by building essential digital skills that are readily applicable across workplaces. This programme consists of 10 training modules. Our Financial Management Bootcamp is designed to help you understand the financial issues confronting businesses today and how to use the new financial knowledge acquired to make more informed decisions to better manage businesses. The Singapore Polytechnic (SP) School of Computing is pleased to introduce the Software Engineering Professional (Web Application Developer). SMU MITB (Analytics) is Asia's first professional masters programme to meet the ever increasing demand for well-trained data analytics … Database Fundamentals, Data Analytics and Big Data. 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. You will learn 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; develop a financial analytics project using business intelligence techniques. 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. Develop in-demand IT skills at SMU Academy (by Singapore Management University) with our highly qualified instructors. Avoiding Pitfalls in … 508 Bishan St 11, #01-386 Singapore 570508. 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. More details coming soon. This programme aims to equip the Industry with ICT-Emerging Tech Specialists and talents to have the knowledge and ready skillset in the area of AI & Machine Learning Application Development to help business and industries. This course focuses on equipping you with knowledge and skills in financial analytics. 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 demand for data scientists has not kept pace with the requirement leading to Data Science being a sought after skill. 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. 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. Trainees will also benefit from employment facilitation efforts offered by training providers. This is likely to keep pace with the growing industry demand, and perhaps to offer unique inter-disciplinary curriculums that ‘data science’ is defined by – it is a combination of computer science, statistics, operations research, engineering, business insights & strategy. 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. Since this course requires an intermediate knowledge of Python, you will spend the first part of this course learning Python for Data Analytics taught by Emeritus. 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. 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. The M.S. 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. 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. Students also develop techniques to effectively visualize and then communicate results to stakeholders. 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. 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. To facilitate transition to employment as and when job opportunities are present, the SGUnited Skills programme will be conducted in a modular format. “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.”. The Data Analytics Bootcamp seeks to address the burgeoning demand for professionals equipped with the necessary technical competencies in manipulating, visualising and analysing data. in Applied Economics and Predictive Analytics degree is designed to help meet the burgeoning demand for analytics training on the part of business, government and nonprofits. The company isn’t alone. This is a Programme offered to trainees who are in Information and Communications Technology (ICT) Industry. database for analytics; data visualization; programming for analytics; Courses are offered in a seven-week accelerated format. Python is a first-class programming language for modern web and mobile development and is used by companies like Instagram, Spotify, Amazon and more. 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. 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. Less technical skills are no less crucial for success in their professional fields, he elaborated. Python is a powerful general-purpose object-oriented programming language. NIIT offers various training programs and certification courses in data analytics for graduates in India. 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. The program also teaches how to implement analytics efforts via project management and business score-carding. This hands-on approach allows them to learn how to use cutting-edge statistical tools that are relevant in careers related to data science and analysis. Cloud Computing. 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. In particular, students will get an insight into how big data is managed and useful information extracted to better make informed decisions. Maximizing Value for Predictive Analytics and Big Data, and Advanced Management of Data Analytics. #8 -Boston University – Boston, Massachusetts Online Master of Science in Applied Business Analytics. 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. 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. 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. Introduction To Data Analytics; Introduction To Data Visualisation The various modules will be taught by three award-winning professors — Distinguished Educator Award winner Professor Tse Yiu Kuen, and Economics Teaching Excellence Award winners Professor Chow Hwee Kwan and Professor Kwong. By completing this programme successfully, the participants will be awarded 7 Certificates of Attainment (COAs) in Digital Transformation and Innovation, Digital Manufacturing and Industrial 4.0 Enabling Technologies. The hands-on curriculum aims to train students in the necessary programming and data manipulation skills, as well as the know-how in analysing and visualising data. It is also an interpreter compiled byte code programming language and an open-source scripting language. Jump on board the social media bandwagon, and learn how to tap on social media to enhance one's digital presence. 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. It’s important to note that merely knowing the approaches behind data analysis does not guarantee anyone a successful career, cautioned Professor Kwong. MSc in Accounting (Data and Analytics) The MSA programme is the first specialised Master’s degree in accounting data and analytics in Asia. The SGUnited Skills programme is a full-time training programme ranging from six to 12 months. 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. The program gives students skills in data analysis, coding in Python, data modeling, as well as the hands-on experience and portfolio needed to dive into a career in data. Students will also learn how to decipher insights and craft thoughtful narratives from data. ... Data Science Diploma . Join us in celebrating this momentous year with an exciting line-up of events. 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. Course fees will be highly subsidised, to keep the SGUnited Skills programme affordable. 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. We are looking forward to sharing many exciting stories and examples of analytics with all of you using python programming language. Individuals can use their SkillsFuture Credit to offset the course fees. Trainees will also receive a training allowance of $1,200 per month for the duration of the programme, to cover basic subsistence expenses*. To qualify for the M.S. Advanced Diploma in Python Programming and Applied Data Analytics (Applications Closed) This programme offers students the opportunity to advance their careers and highly sought after skills for the new digital economy. SMU turns 20 this year! “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. This will provide you with the programming knowledge required to do the assignments and application projects that are part of the Applied Data … ... 2-day Intro to Python Programming 2019. The Singapore Polytechnic (SP) and Singapore Blockchain Association (SBA) are pleased to introduce the Blockchain Talent Programme (BTP). 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). Trainees will also have the chance to apply the skills learnt during the programme, through opportunities like workplace immersions and industry projects. “With strong knowledge in their own disciplines as background information and up-to-date data analysis skills, DSA students can then apply their skills in the best possible way to benefit the organisation they are working for.”, © Copyright 2019 Singapore Management University. The Singapore Polytechnic (SP) School of Computing is pleased to introduce the Software Engineering Professional Programme (Azure DevOps Engineer). The most important consideration was to decide what courses should be included to provide synergy and complement existing SMU programmes,” said Professor Kwong. 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. This is to facilitate trainees who are keen to further their education in a new domain to reskill themselves as part of the journey in being a life-long learner. 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. 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. 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. “While designing the DSA curriculum, we investigated and discussed the general expectations of different stakeholders: students, academic faculty and potential employers. Thanks to its versatility, it continues to reign as the tool of choice for companies for data analysis and visualization. Bishan Campus. Such jobs involve extracting, cleaning, managing, analysing and modelling data that is useful to the business. “The increasing volume of data and advanced data technologies provide a golden opportunity for data analysts to transform data into useful information for decision-making. The second semester focuses on deepening skills and applying them to real-life problems. 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 course provides graduates with fundamental skills in statistics, data mining and predictive analytics that are required by jobs in these industries. The only constant is change — this adage has never been more apt, with traditional industries now being upended by technology all over the world. The programme will comprise certifiable courses delivered by Continuing Education and Training (CET) Centres, including Institutes of Higher Learning. According to a 2013 survey by industry analyst O’Reilly, 40 percent of data scientists responding use Python in their day-to-day work. Data analytics empowered by Python programming skills will provide you, as a professional, as well as the organization you work for, a competitive edge in the market. Programme aims. 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. Website Ratio: 10:1 Average Graduate Tuition: $52,816/year 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. 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