Julian obtained a PhD degree in Information Systems from NUS. NUS career+. Learn how to analyze data using Python. Julian Lin is a Senior Lecturer in Cybersecurity and Data Analytics with School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS). data science and analytics nus Try to provide me good examples or tutorials links so that I can learn the topic "data science and analytics nus". Julian Lin is a Senior Lecturer in Cybersecurity and Data Analytics with School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS). If you have absolutely no experience in python and wish to learn the language to gain essential insights by evaluating data, you have come to the right programme. NTUC members enjoy 50% of the unfunded course fee support for up to $250 each year for courses supported under UTAP (Union Training Assistance Programme). Learn the Fundamentals of Python Programming in a practical, fun, and interactive training workshop at Intellisoft Systems. Programme Dates: 01 Dec - 31 Jan 2021 Venue: Online USD 1,200 (excl GST) | USD 1,284 (incl GST) He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. His strong passion in data analytics and data science can be seen through his involvement in data analytics interest groups, being a Co-founder of DataScience.Sg and former Working Committee Chairman of SAS User Group Singapore and Data Ambassador for one of the DataKind SG project. NUS Libraries Data Science and Analytics Books & Reference Sources Search this ... Data Analysis, Visualization, and Modelling for the Data Scientist. This course introduces basic Python programming and community best practices such as using Jupyter/Python. Python is one of the most popular languages for business analytics today and continues to grow at an astonishing rate. Ben Lee is a Senior lecturer in Data Analytics and Visualization with the School of Continuing and Lifelong Education (SCALE) at NUS. For more information, visit, Eligible organisations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect at, Eligible individuals may apply for training allowance capped at $6/hr under the WSS scheme, visit-, NTUC Training Fund (SEPs) – All self-employed (i.e. NUS BA and OSCM Specialisations are therefore carefully crafted in the business milieu to capably equip students, both in the quantitative and social domains, for the emergent data-analytic, technology-driven and individual-tailored economy. Ping Shung holds an MBA from University of Adelaide. He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. Ping Shung through his career has gathered much experience on statistical modeling, from working in the banks, supervising Masters students and doing education research. Python is also a glue language meaning that it can integrate with existing software and other programming languages. He is also currently a Adjunct Senior Faculty with the Singapore University of Social Sciences (SUSS) and a SAS Trainer as well. His data analytics experience range from a wide variety of business functions and industries, gathered from talking to companies or working on data analytics projects. Edmund holds a PhD in Environmental Engineering from Yale University. He currently heads the quantitative reasoning domain, and is also director of the Quantitative Reasoning Centre, at USP. A recording of the pre-programme information webinar on the Python for Analytics programme with NUS Business School faculty. Analytics & Operations. At the end of the course, participants will be able to: Must be familiar with the Python programming language, or have attended the Introduction to Python training and statistics 101 at a pre-university level. He has over 30 years’ experience in IT and information management. The students are expected to get their hands really dirty by applying (and even messing up) the tools in analytics software (R or Python). Section 1: Introduction to Course and Python Fundamentals – In this introduction, an overview of key Python concepts is covered as well as the motivating factors for building industry professionals to learn to code. An NUS education provides a strong technical foundation across all areas of computing, meaning that your Business Analytics training will be bolstered by strong general computer skills. The course then moves on to show how Python can be applied to data m… We want to help University Students learn Python technicalities at their own pace before using it for advanced analytics purposes. Follow the installation instructions on the Miniconda Homepage. As data science and data analytics become ever more popular and more specialized, the number and variety of tools and technologies out there can often seem overwhelming. Find out more. AI and Machine Learning Begins With Me ; Analytics in Industry 4.0 Call 6296-2995 for Python Programming Courses in Singapore. Koo Ping Shung is an experienced Data Scientist with more than 13 years of relevant experience. An NUS education provides a strong technical foundation across all areas of computing, meaning that your Business Analytics training will be bolstered by strong general computer skills. User ID and password will be provided in the participant’s kit. With a passion for data analytics, I have pursued a 1-year Master of Science in Business Analytics in NUS (cumulative GPA 4.4/5), which graduated in Sep 2017. The goal of this course is to expose students to the art of practical problem solving involving analytics, with emphasis on applications in the finance industry. Python Notes. Please visit, MSc in Pharmaceutical Science & Technology, SGUS: Construction / Facilities Management, Microsoft Data Science Capstone Competition, research award for user acceptance research, http://www.ssg.gov.sg/programmes-and-initiatives/training/enhanced-training-support-for-smes.html?_ga=2.154478072.1748789781.1519700056-512306731.1519700056, https://www.skillsconnect.gov.sg/sop/portal/e-Services/For%20Employers/AbsenteePayroll.jsp, https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html, Use Python for basic data munging to aggregate, clean and process data from local files, databases, and online, Create visualisation with Matplotlib, Pandas.plot, and Seaborn, Create basic to intermediate analytics models with Python/Sckit-learn, Using the above tools within the context of solving essential data science problems, Applying Python tools to import data from various sources, explore them, analyse them, learn from them, visualise them, and share them, Managing Python Environments and Packages, Interacting with local and remote databases (ODBC), Mini-Project: Making a Data Product with Python and Jupyter, Data analytics e.g., Descriptive statistics using Python, Creating visualization tools using matplotlib, Data analytics process: Supervised and Unsupervised Learning, Regression and Classification using Sci-kit Learn, Mini-Project (and/or) Recap: Creating data visualization and data analytics product, All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. Pandas Data Manipulation. Who should attend. Learn to conduct Real - World Financial Analysis in Python. Python is replacing Excel to scale business decisions This course will take you from the basics of Python to exploring many different types of data. DAO2702 - Programming for Business Analytics; Python Notes; Page 1/23. It’s commonly considered one of the easier programming languages to read and learn—its programming syntax is simple and its commands mimic the English language. New libraries for data manipulation, visualisation and data modeling have made Python an increasingly exciting alternative to R as a data science language. As Ben Zweig explains in our online course “Introduction to Using Python for People Analytics” there are 5 fundamental reasons why you might choose to use Python over Excel when trying to derive insights from people data. Business Analysts, Data Analysts, Software Engineers, Programmers. He has organised / co-organised programming workshops and data hackathon for students. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. Python’s extensibility means that it has thousands of libraries dedicated to analytics, including the widely used Python Data Analysis Library (also known as Pandas). Since Yale-NUS College had the short course by Marla Geha on Python, I am going to include a lot of her materials, as they provide a very nice entry point into Python with an astronomical slant. Get information about Python for Analytics course, eligibility, fees, syllabus, admission & scholarship. Course Objectives. Python is one of the most popular analytical programming languages for data analysis, due to its high readability and active developer ecosystem. From beginner courses that introduce basic concepts to more technical programming and visualisation techniques, you will acquire data analytics skills and learn the real-life applications of data science. Python is one of the most prevalent tools for data analysis. Python for Analytics by NUS Business School [Emeritus] Having an analytical outlook can prove beneficial not just for you but also for the organisation you work. To date, he has conducted over 1,600 man-hours of data science training. It is a language that can be applied throughout the data pipeline, which includes data management, wrangling, modelling and visualisation. From this module, students will learn the basic Python programming […] The Python for Analytics programme will serve as the first step in your data science learning journey, and does not require you to have prior programming knowledge, as … Python is also ideal for data analysis as the majority of libraries involved in machine learning and data science have Python interfaces. With 5 years of working experience in … A remarkable experience Read More » Python is one of the leading open-source programming languages in the field of data science. Python has proven to be beneficial to financial advisors, data journalists, digital marketers, and product managers responsible for researching market opportunities. He teaches courses on engineering, statistical methods, data science and analytics. Terms and Conditions apply. Get started with Python for data analytics To get you started, I want to walk you through some basic commands and operations in Python that will be essential to your data analysis skills. He was a recipient of two scholarships from the Overseas Chinese Association in Taiwan while pursuing his Bachelor degree and another scholarship while pursuing a Master degree in Australia. By the end of the course, you'll have the basic capability in using Python for simple data transformation and analysis. Ping Shung was a guest lecturer at NUS Institute of Systems Science and previously held an adjunct position in School of Information Systems, Singapore Management University. Marketing NUS Business School. As a basic level course, there is no prerequisite for students. It will then cover the Data Science Workflow - training models and testing them through the application of machine learning models to various industry-relevant data science problems. Log on to view the latest jobs that are best for you. As an educator, Edmund has received both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. Guests cannot access this course. His career roles span CIO, Director of IT services, Strategy and Planning, Project management, Applications development, Systems engineering, Data management and IT outsourcing. Overview Python is a fun, flexible and expressive scripting language that can automate repetitive process and tasks, evaluate performance of your servers, and even interact with your IoT devices. Python For Analytics. Python has become a key driver in the explosion of big data analytics and machine intelligence across most industries. This will dive into the use of powerful open source analytics tools such as R and Python, required and best practices in the set-up of a data analytics infrastructure, hiring and building a data science team, including the set-up of a Centre of Excellence for Analytics and data analytics project scoping. He often advised companies on the type of data analytics projects they can work on with their data and is a co-supervisor for many Masters students on their data analytics capstone projects. Visit. His research interest lies in how data science can help organisations and businesses to be more efficient and effective. “80 Interview Questions on Python for Data Science” is published by RG in Analytics Vidhya. Data Analytics is the trending technology in the present days. He was given a  teaching award for visualization class and research award for user acceptance research in NUS. We will use the Python client for the Google Analytics API. The course will cover import/export of data, Series and DataFrame data types, and how to use functions such as groupby, merge, and … Offered by IBM. This module is an introductory course for Python programming and data analytics. Given its versatility and applicability to data analysis, it has become the tool of choice for most industries. The reason being, it’s easy to learn, integrates well with other databases and tools like Spark and Hadoop. Data analytics using Python libraries, Pandas and Matplotlib; What is Data Analytics? If you are someone who is passionate about Data Science, Machine Learning and Data Analytics, then this course is for you. AI and Machine Learning Begins With Me ; Analytics in Industry 4.0 Put your fluency in Python through its paces and watch it pay off long-term in spades. Managing Business Analytics Projects Statistics for Business The main aim of the practice module is for the students to assimilate the knowledge gained through the four component courses and to be able to apply them in a holistic manner to manage real-world business analytics projects. Numpy Mathematical Operations. Includes concise notes with heavy emphasis on statistics, and useful codes for python coding In this post I will simply connect to … The course then moves on to show how Python can be applied to data mining, analytics, data science and artificial intelligence projects. Prior to enrolling into the programme, Shivam was a lead data scientist who built and developed analytics products for the insurance domain. He also read widely on the different topics related to data science and artificial intelligence, keeping himself up-to-date with their development. This course will show you how to download and get started with using Python and Jupyter notebooks, as well as teaching you some of the basic code that you need to get started using Python … ... Nice, France Julia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. 26-year-old Shivam Bansal described his journey in the NUS Master of Science in Business Analytics (MSBA) programme to be one that had “completely met his expectations”. He was an instructor for the DBS Graduate Associate Programme for 3 years, teaching over 200 Graduate Associates on data analytics and received positive ratings. With Python '' supports Python versions 3.4-3.7, but is not tested newer. By Leong Zeng Hui, Alexander, Nelson Lim Jun Kang and Fan Ting Wei ideal for analysis. University students learn Python to perform the full life-cycle of any data science library with your registered email here! 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