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 who are in Information and Communications Technology (ICT) Industry. 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.. 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. Thanks to its versatility, it continues to reign as the tool of choice for companies for data analysis and visualization. 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. 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. SMU turns 20 this year! This is a Programme offered to trainees who are in Information and Communications Technology (ICT) Industry. 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. 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. This course focuses on equipping you with knowledge and skills in financial analytics. It’s important to note that merely knowing the approaches behind data analysis does not guarantee anyone a successful career, cautioned Professor Kwong. 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. Trainees will also benefit from employment facilitation efforts offered by training providers. Online media consumption has seen tremendous growth and demand across digital devices. 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. SMU Academy is pleased to offer the following programmes under the SGUnited Skills Programme. 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. They can apply for a full-time traineeship of between nine to 12 months with leading financial institutions and companies such as UBS, Razer, and Bank of Singapore, which are expected to offer career paths based on merit. 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. 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. Gain a solid foothold in one of today’s fundamental programming languages. 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. “With formal training in DSA, students will be able to analyse a given data set with an appropriate approach, then explain the concept of predictive modelling, the intuition behind each model, as well as the assumptions and restrictions of each conclusion,” he said. “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. 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. Applied Data Analytics. 508 Bishan St 11, #01-386 Singapore 570508. Develop in-demand IT skills at SMU Academy (by Singapore Management University) with our highly qualified instructors. Database Fundamentals, Data Analytics and Big Data. The Singapore Polytechnic (SP) School of Computing is pleased to introduce the Software Engineering Professional Programme (Azure DevOps Engineer). Individuals can use their SkillsFuture Credit to offset the course fees. 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. 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. The training courses are designed in partnership with the industry to help trainees acquire industry-relevant skills that can improve their employability. 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. 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. This will provide you with the programming knowledge required to do the assignments and application projects that are part of the Applied Data … 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. 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. Cloud Computing. The second semester focuses on deepening skills and applying them to real-life problems. 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. 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. ... Data Science Diploma . This course provides graduates with fundamental skills in statistics, data mining and predictive analytics that are required by jobs in these industries. Students also develop techniques to effectively visualize and then communicate results to stakeholders. ... 2-day Intro to Python Programming 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. 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 SGUnited Skills programme is a full-time training programme ranging from six to 12 months. 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 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. 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. It focuses on the application of methodologies and techniques for big data 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. We are looking forward to sharing many exciting stories and examples of analytics with all of you using python programming language. Jump on board the social media bandwagon, and learn how to tap on social media to enhance one's digital presence. 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. MSc in Accounting (Data and Analytics) The MSA programme is the first specialised Master’s degree in accounting data and analytics in Asia. Python is a powerful general-purpose object-oriented programming language. Join us in celebrating this momentous year with an exciting line-up of events. Data and analytics provide the solution to this challenge. All Rights Reserved, New Data Science and Analytics major available for all SMU students. Get on board by building essential digital skills that are readily applicable across workplaces. 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. It is also an interpreter compiled byte code programming language and an open-source scripting language. 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. Introduction To Data Analytics; Introduction To Data Visualisation In particular, students will get an insight into how big data is managed and useful information extracted to better make informed decisions. 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). 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. 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. 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 most important consideration was to decide what courses should be included to provide synergy and complement existing SMU programmes,” said Professor Kwong. Reach Us. Course fees will be highly subsidised, to keep the SGUnited Skills programme affordable. 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. 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 applied statistics and data analytics, the student must successfully complete at least 36 credit hours acceptable to the departmental faculty, distributed as follows. It is still essential for students to have a strong mastery of their main course of study. 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. “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 Data Analytics Bootcamp seeks to address the burgeoning demand for professionals equipped with the necessary technical competencies in manipulating, visualising and analysing data. 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. 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. #8 -Boston University – Boston, Massachusetts Online Master of Science in Applied Business Analytics. The first course and certificate discussed starts with learning Python and Data Analytics. Students will also learn how to decipher insights and craft thoughtful narratives from data. 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. The only constant is change — this adage has never been more apt, with traditional industries now being upended by technology all over the world. NIIT offers various training programs and certification courses in data analytics for graduates in India. 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