It is still essential for students to have a strong mastery of their main course of study. Programme aims. 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. MSc in Accounting (Data and Analytics) The MSA programme is the first specialised Master’s degree in accounting data and analytics in Asia. ... 2-day Intro to Python Programming 2019. 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. 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. Online media consumption has seen tremendous growth and demand across digital devices. This course provides graduates with fundamental skills in statistics, data mining and predictive analytics that are required by jobs in these industries. Less technical skills are no less crucial for success in their professional fields, he elaborated. ... Data Science Diploma . 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. Join us in celebrating this momentous year with an exciting line-up of events. 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. Course fees will be highly subsidised, to keep the SGUnited Skills programme affordable. SMU turns 20 this year! The most important consideration was to decide what courses should be included to provide synergy and complement existing SMU programmes,” said Professor Kwong. 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. 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. 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. 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. 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. 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. Trainees will also have the chance to apply the skills learnt during the programme, through opportunities like workplace immersions and industry projects. 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.. 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. 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. 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. It’s important to note that merely knowing the approaches behind data analysis does not guarantee anyone a successful career, cautioned Professor Kwong. The program also teaches how to implement analytics efforts via project management and business score-carding. 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. “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 programme will be rolled out progressively from July 2020. 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. 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. More than ever, jobseekers need to stay creative and adaptable. It is also an interpreter compiled byte code programming language and an open-source scripting language. 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. database for analytics; data visualization; programming for analytics; Courses are offered in a seven-week accelerated format. 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. The Singapore Polytechnic (SP) School of Computing is pleased to introduce the Software Engineering Professional Programme (Azure DevOps Engineer). 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. SMU MITB (Analytics) is Asia's first professional masters programme to meet the ever increasing demand for well-trained data analytics … 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. 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. 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 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 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. This programme offers students the opportunity to advance their careers and highly sought after skills for the new digital economy. 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. 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. To facilitate transition to employment as and when job opportunities are present, the SGUnited Skills programme will be conducted in a modular format. 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 M.S. In particular, students will get an insight into how big data is managed and useful information extracted to better make informed decisions. 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 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. All that collection, analysis, and reporting takes a lot of heavy analytical horsepower, but ForecastWatch does it all with one programming language: Python.. 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 course emphasises collaboration, experiential learning and team building to solve data-driven challenges. 508 Bishan St 11, #01-386 Singapore 570508. Data is ubiquitous in government and in industry sectors including banking, insurance, healthcare, telecommunications, design and manufacturing, and retail. 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. 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. The Singapore Polytechnic (SP) School of Computing is pleased to introduce the Software Engineering Professional (Web Application Developer). The university also offers popular part-time intro courses in Python programming, Hadoop and Tableau, and Big Data, to name a few. “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. 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 first course and certificate discussed starts with learning Python and Data Analytics. 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 demand for data scientists has not kept pace with the requirement leading to Data Science being a sought after skill. 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. My only feedback for UofT is that there should be a faster way to finish the courses. 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. 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. 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. Avoiding Pitfalls in … 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. 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. This is a Programme offered to trainees who are in Information and Communications Technology (ICT) Industry. 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 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. We are looking forward to sharing many exciting stories and examples of analytics with all of you using python programming language. 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. Python is a first-class programming language for modern web and mobile development and is used by companies like Instagram, Spotify, Amazon and more. 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. “While designing the DSA curriculum, we investigated and discussed the general expectations of different stakeholders: students, academic faculty and potential employers. New students are admitted in the fall and spring semester. However, a new set of specifically named data science programmes has been cropping up around the world. 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. The only constant is change — this adage has never been more apt, with traditional industries now being upended by technology all over the world. 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. The Data Analytics Bootcamp seeks to address the burgeoning demand for professionals equipped with the necessary technical competencies in manipulating, visualising and analysing data. Cloud Computing. “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.”. This course focuses on equipping you with knowledge and skills in financial analytics. 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. 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