To date, he has conducted over 1,600 man-hours of data science training. Learn how to solve real world problems by applying statistical techniques and machine learning models using Python. NUS SCALE Data Analytics Courses. NUS Libraries Data Science and Analytics Books & Reference Sources Search this ... Data Analysis, Visualization, and Modelling for the Data Scientist. Python is also a glue language meaning that it can integrate with existing software and other programming languages. 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. The course then moves on to show how Python can be applied to data mining, analytics, data science and artificial intelligence projects. 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 … Python is one of the most popular languages for business analytics today and continues to grow at an astonishing rate. 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. NUS Business School. 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. He has over 30 years’ experience in IT and information management. The ‘Introduction to Using Python for People Analytics’ skill booster certification, empowers you to build the technical skills and knowledge you need to be able to get started with Python, using it to carry out analysis in your HR analytics projects. 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. 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. He is also currently a Adjunct Senior Faculty with the Singapore University of Social Sciences (SUSS) and a SAS Trainer as well. Numpy Mathematical Operations. Python for Business Analytics Nov 2020. You can find the repository and official documentation on … 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. During his IT consultancy career, he oversaw the application and infrastructure projects in Amoseas,  Mannesmann Dematic Colby (Sydney), Alcatel (Sydney), and the University of New South Wales (UNSW) Faculty of Commerce and Economics. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. 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. ANL252 Python for Data Analytics, as part of the Business Analytics programme, is designed to equip Business Analytics students with the skills and knowledge to use the Python programming language as a tool for data analytics tasks. 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". By the end of the course, you'll have the basic capability in using Python for simple data transformation and analysis. 2. 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”. NUS career+ is a mobile app designed to help NUS students plan their education and career efficiency. 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. From this module, students will learn the basic Python programming […] Python programming. Upcoming Courses. We want to help University Students learn Python technicalities at their own pace before using it for advanced analytics purposes. He teaches courses on engineering, statistical methods, data science and analytics. Learn how to analyze data using Python. In a survey carried out by Analytics India Magazine, it was found that 44% of data scientists prefer Python, it … DAO2702 - Programming for Business Analytics; Python Notes; Page 1/23. He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. Try to provide me good examples or tutorials links so that I can learn the topic "data science and analytics with python". BMK5202 Python Programming for Marketing Analytics This module is an introductory course for Python programming and data analytics. DAO2702 - Programming for Business Analytics. He is specialized in analyzing, visualizing and mining complex time series data using Python tools sucha as Pandas, Numpy, Matplotlib, SK-Learn, Tensorflow etc. Learn the Fundamentals of Python Programming in a practical, fun, and interactive training workshop at Intellisoft Systems. 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. Python — 34 questions. Call 6296-2995 for Python Programming Courses in Singapore. data analytics/machine learning/deep learning development and support By Tan Chee Chiang, Research Computing, NUS IT on 6 Dec, 2018 We will look into how technologies have … Data Analytics Discover how to unlock insights from Big Data using data science. 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). The reason being, it’s easy to learn, integrates well with other databases and tools like Spark and Hadoop. 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. 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. Majorly, it has the great computational intensity and has powerful data analytics libraries. He is also the mentor to the trainees accepted into the IMDA-SAS BIA Programme for 5 intakes. NUS career+. All Rights Reserved. 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. He managed the industrial relationships through projects and attachments. 52 Hours Intense Bootcamp This is a beginner's course to learn Python and use it to analyze data. Edmund holds a PhD in Environmental Engineering from Yale University. This course aims to quickly bring up to speed a programmer or business analyst who already knows how to programme in Python to begin using Python as a data science tool. Data analytics is the process of exploring and analyzing large datasets to make predictions and boost data-driven decision making. Python For Analytics. ... 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. The app automatically retrieves your academic records and builds a customized list of skills for you. Python is also ideal for data analysis as the majority of libraries involved in machine learning and data science have Python interfaces. The client supports Python versions 3.4-3.7, but is not tested for newer versions of Python, and Python 2 is deprecated. Visit. Access NUS TalentConnect with your registered email address here. 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. 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. Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. Also tell me which is the good training courses in Machine Learning, Artificial Intelligence and Data Science for beginners. Programme Dates: 25 Jul - 24 Sep 2022 Venue: Online SGD 1,200 (excl GST) | SGD 1,284 (incl GST) Data Analytics Consulting Centre Block S16, Level 7 6 Science Drive 2 Faculty of Science National University of Singapore Singapore 117546 dacc@nus.edu.sg Business Hours Monday to Thursday: 8.30 am – 6.00 pm Friday: 8.30 am – 5.30 pm So, learn Python to perform the full life-cycle of any data science project. In this course, Leveraging Online Resources for Python Analytics, you will gain the ability to find resources that can help you to correctly frame and solve your problem. Programme Dates: 01 Dec - 31 Jan 2021 Venue: Online USD 1,200 (excl GST) | USD 1,284 (incl GST) Julian obtained a PhD degree in Information Systems from NUS. With 5 years of working experience in … A remarkable experience Read More » Page 11/23. 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. Who should attend. Learn Python programming and conduct real-world financial analysis in Python: complete Python training About This Video Learn Python programming. 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. Know complete details of admission, degree, career opportunities, placement & salary package. Put your fluency in Python through its paces and watch it pay off long-term in spades. 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. 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. It covers basic Python programming techniques and preliminary data analysis, with a great emphasis on addressing practical business problems and real datasets. Through a series of case studies and hands-on exercises, this course will provide you with the fundamentals of Python programming, together with basic analytical … It is a language that can be applied throughout the data pipeline, which includes data management, wrangling, modelling and visualisation. To show you just how easy Python is, in the next section I will introduce you to some of the foundations for data analytics and visualizations in Python. Marketing NUS Business School. If you are someone who is passionate about Data Science, Machine Learning and Data Analytics, then this course is for you. 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. Otherwise download the zip file, unpack it to a location convenient to you, and open a command line terminal in the project directory blueprints-text.. For local setup, we recommend to use Miniconda, a minimal version of the popular Anaconda distribution that contains only the package manager conda and Python. AI and Machine Learning Begins With Me ; Analytics in Industry 4.0 23 Pages National University of Singapore Complete Study Notes Year Uploaded: 2020. As a basic level course, there is no prerequisite for students. This course is the sequel to Data Analytics Begins with Me. Ping Shung through his career has gathered much experience on statistical modeling, from working in the banks, supervising Masters students and doing education research. We are now located at 3 campuses as our main campus ISS @25 HMKT undergoes renovation. Find out more. Python is one of the most prevalent tools for data analysis. 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. 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. 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. At NUS, he had mentored student software development projects and taught visual communications, designing new media content, and research methods. Please log in. Python is one of the most popular analytical programming languages for data analysis, due to its high readability and active developer ecosystem. 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 … User ID and password will be provided in the participant’s kit. This module is an introductory course for Python programming and data analytics. Prior to this, he was the Analytics Practicum Manager of the Master of IT in Business (Analytics) at the Singapore Management University School of Information Systems. He has also trained professionals from various companies on data analytics and the use of SAS software. Follow the installation instructions on the Miniconda Homepage. BIZ 2 Building 1 Business Link Singapore 117592 +65 6601 5423 bizshortcourses@nus.edu.sg data science and analytics with python. He was given a  teaching award for visualization class and research award for user acceptance research in NUS. The course will define data science and explore the first two things a data scientist must do – cleaning and visualising data. Python is a first-class programming language for modern web and mobile development and is used by companies like Instagram, Spotify, Amazon and more. BIZ 2 Building 1 Business Link Singapore 117592 Page 17/23. Through a series of case studies and hands-on exercises, this course will provide you with the fundamentals of Python programming, together with basic analytical … His career roles span CIO, Director of IT services, Strategy and Planning, Project management, Applications development, Systems engineering, Data management and IT outsourcing. We will like to invite you to participate in a 2 hr workshop (organised by e2i) on Python for Business Analytics on 28 November 2019, 7pm – 9pm at e2i West.In this session, the trainer will introduce various business case studies where businesses had used Python for Business Analytics. 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. Python Notes. The Python Tutorial Series is a new initiative by NUS Business Analytics Consulting Team. 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. Click. Venue . It covers the following: Data Analytics . NUS-ISS and Learner’s Commitment and Responsibilities. WIFI Access. freelancers and sole-proprietors-with-no-employee) Singaporeans and Permanent Residents are eligible to apply for the NTUC Training Fund (SEPs) from NTUC’s Employment and Employability Institute (e2i). AI and Machine Learning Begins With Me ; Analytics in Industry 4.0 A recording of the pre-programme information webinar on the Python for Analytics programme with NUS Business School faculty. A … - Selection from Python for Finance: Investment Fundamentals and Data Analytics [Video] Ping Shung was a facilitator for the IDA Data Science MOOC programme for 2 cohorts (over 300 professionals) and participated in Singapore's first Data Literacy Bootcamp which was co-organised by the IDA Singapore and The World Bank. 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). He held PdD on operations research in National University of Singapore. Data Analytics Basic Courses . R, SAS), Python is the only reliable general-purpose programming language Data Analytics is the trending technology in the present days. Python is one of the most popular analytical programming languages for data analysis, due to its high readability and active developer ecosystem. Management & Strategy. Koo Ping Shung is an experienced Data Scientist with more than 13 years of relevant experience. It covers basic Python programming techniques and preliminary data analysis, with a great emphasis on addressing practical business problems and real datasets. Course Objectives. Get information about Python for Analytics course, eligibility, fees, syllabus, admission & scholarship. Accounting & Finance. He has been conducting text-analytics research since 2010 and teaching  visualization since 2007. This module is an introductory course for Python programming and data analytics. Data analytics allows us to collect, clean, and transform data to derive meaningful insights. DSC5121 Hand-on with Business Analytics. Python has proven to be beneficial to financial advisors, data journalists, digital marketers, and product managers responsible for researching market opportunities. In this article, we will see how to get scheduled mean speed by bus segment from a GTFS using the Python package gtfs_functions. Business Analysts, Data Analysts, Software Engineers, Programmers. Python has become a key driver in the explosion of big data analytics and machine intelligence across most industries. Python can also be used to handle data such as crawling, scraping, cleaning and processing your data from webpages external APIs, or other sources for mining and manipulation. As a basic level course, there is no prerequisite for students. Recently, Julian was ranked 6th in the Microsoft Data Science Capstone Competition. This course introduces basic Python programming and community best practices such as using Jupyter/Python. Prior to enrolling into the programme, Shivam was a lead data scientist who built and developed analytics products for the insurance domain. Python is replacing Excel to scale business decisions MSCA 37014: Python for Analytics This course in python starts with introduction to the python programming language basic syntax and environment. Log on to view the latest jobs that are best for you. In a survey carried out by Analytics India Magazine, it was found that 44% of data scientists prefer Python, it is ahead of SQL and SAS, and behind the only R. General Purpose Programming: Though there are other popular computing tools utilised for analysing data (e.g. Pandas Data Manipulation. Participants will learn to apply statistical models in Python, visualise their data in Tableau and ultimately strive to provide actionable insights. Python is used in Data Analytics in the Fintech industry. As an educator, Edmund has received both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. He also read widely on the different topics related to data science and artificial intelligence, keeping himself up-to-date with their development. 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. 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. His research interest lies in how data science can help organisations and businesses to be more efficient and effective. Python for Data Analytics . In this post I will simply connect to … Branding guidelines. The Python data analysis course will teach you data manipulation and cleaning techniques using the popular Python Pandas data science library. WIFI access will be made available. This course introduces basic Python programming and community best practices such as using Jupyter/Python. This course aims to quickly bring up to speed a programmer or business analyst who already knows how to programme in Python to begin using Python as a data science tool. This course will take you from the basics of Python to exploring many different types of data. This tutorial series was written by Leong Zeng Hui, Alexander, Nelson Lim Jun Kang and Fan Ting Wei. 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. Data analytics using Python libraries, Pandas and Matplotlib; What is Data Analytics? The students are expected to get their hands really dirty by applying (and even messing up) the tools in analytics software (R or 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). This course also includes Expressions, data structures, functions and various libraries of data analytics and visualization. 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). In this online training course “Introduction to Using Python for People Analytics”, Ben Zweig takes us through the basics of using Python and how you can use it for your People Analytics projects. Offered by IBM. The course will cover import/export of data, Series and DataFrame data types, and how to use functions such as groupby, merge, and … Recently, Julian was ranked 6th in the Microsoft Data Science Capstone Competition. He obtained his bachelor degree in Economics from National University of Singapore, with a minor in Computational Finance. Google Analytics API Python client. Nicholas (seen here at his graduation in 2019) credits the technical abilities and communication skills honed through his NUS education for clinching his dream job (Photo: Elaine Lim) It all boils down to being prepared when opportunities knock. Data Visualization with Matplotlib. He currently heads the quantitative reasoning domain, and is also director of the Quantitative Reasoning Centre, at USP. It covers basic Python programming techniques and preliminary data analysis, with a great emphasis on addressing practical business problems and real datasets. © National University of Singapore. 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.