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 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. The only constant is change — this adage has never been more apt, with traditional industries now being upended by technology all over the world. “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. Students also develop techniques to effectively visualize and then communicate results to stakeholders. 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. 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. Database Fundamentals, Data Analytics and Big Data. The SGUnited Skills programme is a full-time training programme ranging from six to 12 months. However, a new set of specifically named data science programmes has been cropping up around the world. All that collection, analysis, and reporting takes a lot of heavy analytical horsepower, but ForecastWatch does it all with one programming language: Python.. 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. Thanks to its versatility, it continues to reign as the tool of choice for companies for data analysis and visualization. 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. “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.”. 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. 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. This will provide you with the programming knowledge required to do the assignments and application projects that are part of the Applied Data ⦠#8 -Boston University â Boston, Massachusetts Online Master of Science in Applied Business Analytics. 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. 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. 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. 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. 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. This programme offers students the opportunity to advance their careers and highly sought after skills for the new digital economy. 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. 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. 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. 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. Trainees will also receive a training allowance of $1,200 per month for the duration of the programme, to cover basic subsistence expenses*. Join us in celebrating this momentous year with an exciting line-up of events. 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. 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. SMU MITB (Analytics) is Asia's first professional masters programme to meet the ever increasing demand for well-trained data analytics ⦠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. 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. It is still essential for students to have a strong mastery of their main course of study. The first course and certificate discussed starts with learning Python and Data Analytics. This is likely to keep pace with the growing industry demand, and perhaps to offer unique inter-disciplinary curriculums that âdata scienceâ is defined by â it is a combination of computer science, statistics, operations research, engineering, business insights & strategy. According to a 2013 survey by industry analyst OâReilly, 40 percent of data scientists responding use Python in their day-to-day work. 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. 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. The company isnât alone. 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.. New students are admitted in the fall and spring semester. Advanced Diploma in Python Programming and Applied Data Analytics offers students the opportunity to advance their careers and highly sought after skills for the new digital economy. Students will also learn how to decipher insights and craft thoughtful narratives from data. The course emphasises collaboration, experiential learning and team building to solve data-driven challenges. “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. 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. This programme consists of 10 training modules. NIIT offers various training programs and certification courses in data analytics for graduates in India. 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. This is a Programme offered to trainees who are in Information and Communications Technology (ICT) Industry. ... Data Science Diploma . 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. 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. The Singapore Polytechnic (SP) School of Computing is pleased to introduce the Software Engineering Professional (Web Application Developer). This course focuses on equipping you with knowledge and skills in financial analytics. MSc in Accounting (Data and Analytics) The MSA programme is the first specialised Masterâs degree in accounting data and analytics in Asia. SMU turns 20 this year! 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. The university also offers popular part-time intro courses in Python programming, Hadoop and Tableau, and Big Data, to name a few. 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. Less technical skills are no less crucial for success in their professional fields, he elaborated. “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. Python is a first-class programming language for modern web and mobile development and is used by companies like Instagram, Spotify, Amazon and more. Cloud Computing. From August 2019, students in all six SMU schools can prepare for the world of big data by taking up this second major. 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. Course fees will be highly subsidised, to keep the SGUnited Skills programme affordable. 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. 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). Get on board by building essential digital skills that are readily applicable across workplaces. This course provides graduates with fundamental skills in statistics, data mining and predictive analytics that are required by jobs in these industries. My only feedback for UofT is that there should be a faster way to finish the courses. To facilitate transition to employment as and when job opportunities are present, the SGUnited Skills programme will be conducted in a modular format. 508 Bishan St 11, #01-386 Singapore 570508. SMU Academy is pleased to offer the following programmes under the SGUnited Skills Programme. 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 SMUâs Professional Certificate in Python Programming. 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. This programme will be rolled out progressively from July 2020. The Data Analytics Bootcamp seeks to address the burgeoning demand for professionals equipped with the necessary technical competencies in manipulating, visualising and analysing data. 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. It is also an interpreter compiled byte code programming language and an open-source scripting language. “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 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. Maximizing Value for Predictive Analytics and Big Data, and Advanced Management of Data Analytics. 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. Develop in-demand IT skills at SMU Academy (by Singapore Management University) with our highly qualified instructors. Bishan Campus. 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. 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