Please log in. © National University of Singapore. It covers basic Python programming techniques and preliminary data analysis, with a great emphasis on addressing practical business problems and real datasets. Programme Dates: 01 Dec - 31 Jan 2021 Venue: Online USD 1,200 (excl GST) | USD 1,284 (incl GST) Numpy Mathematical Operations. Page 11/23. AI and Machine Learning Begins With Me ; Analytics in Industry 4.0 By the end of the course, you'll have the basic capability in using Python for simple data transformation and analysis. As an educator, Edmund has received both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. 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. Know complete details of admission, degree, career opportunities, placement & salary package. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. New libraries for data manipulation, visualisation and data modeling have made Python an increasingly exciting alternative to R as a data science language. NUS-ISS Course Registration Terms and Conditions. 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. 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 Python programming. Python Notes. Get information about Python for Analytics course, eligibility, fees, syllabus, admission & scholarship. 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 … He is also the mentor to the trainees accepted into the IMDA-SAS BIA Programme for 5 intakes. 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. Analytics & Operations. It covers the following: Data Analytics . Ben Lee is a Senior lecturer in Data Analytics and Visualization with the School of Continuing and Lifelong Education (SCALE) at NUS. The course will define data science and explore the first two things a data scientist must do – cleaning and visualising data. He has been conducting text-analytics research since 2010 and teaching  visualization since 2007. 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. 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 … He currently heads the quantitative reasoning domain, and is also director of the Quantitative Reasoning Centre, at USP. Access NUS TalentConnect with your registered email address here. Data analytics is the process of exploring and analyzing large datasets to make predictions and boost data-driven decision making. 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. 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. DSC5121 Hand-on with Business Analytics. 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. 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. Julian obtained a PhD degree in Information Systems from NUS. Python is one of the most prevalent tools for data analysis. Learn to conduct Real - World Financial Analysis in Python. He is also currently a Adjunct Senior Faculty with the Singapore University of Social Sciences (SUSS) and a SAS Trainer as well. Venue . This module is an introductory course for Python programming and data analytics. 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. Click. Prior to enrolling into the programme, Shivam was a lead data scientist who built and developed analytics products for the insurance domain. Who should attend. Guests cannot access this course. He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. 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). It covers basic Python programming techniques and preliminary data analysis, with a great emphasis on addressing practical business problems and real datasets. Call 6296-2995 for Python Programming Courses in Singapore. He was given a  teaching award for visualization class and research award for user acceptance research in NUS. Data Analytics is the trending technology in the present days. 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. Accounting & Finance. 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. 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. NUS Libraries Data Science and Analytics Books & Reference Sources Search this ... Data Analysis, Visualization, and Modelling for the Data Scientist. This course also includes Expressions, data structures, functions and various libraries of data analytics and visualization. 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. This course introduces basic Python programming and community best practices such as using Jupyter/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. Ping Shung holds an MBA from University of Adelaide. 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. Data Analytics Basic Courses . 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. 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 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. He held PdD on operations research in National University of Singapore. This course is the sequel to Data Analytics Begins with Me. The course will cover import/export of data, Series and DataFrame data types, and how to use functions such as groupby, merge, and … NUS SCALE Data Analytics Courses. 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. 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”. 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). His research interest lies in how data science can help organisations and businesses to be more efficient and effective. 2. The reason being, it’s easy to learn, integrates well with other databases and tools like Spark and Hadoop. Also tell me which is the good training courses in Machine Learning, Artificial Intelligence and Data Science for beginners. Data analytics allows us to collect, clean, and transform data to derive meaningful insights. 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. He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. Python is one of the most popular analytical programming languages for data analysis, due to its high readability and active developer ecosystem. Learn Python programming and conduct real-world financial analysis in Python: complete Python training About This Video Learn Python programming. This tutorial series was written by Leong Zeng Hui, Alexander, Nelson Lim Jun Kang and Fan Ting Wei. 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. 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. WIFI access will be made available. Also tell me which is the good training courses in Machine Learning, Artificial Intelligence and Data Science for beginners. The course then moves on to show how Python can be applied to data mining, analytics, data science and artificial intelligence projects. The Python Tutorial Series is a new initiative by NUS Business Analytics Consulting Team. He has also trained professionals from various companies on data analytics and the use of SAS software. So, learn Python to perform the full life-cycle of any data science 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. Python is also ideal for data analysis as the majority of libraries involved in machine learning and data science have Python interfaces. Recently, Julian was ranked 6th in the Microsoft Data Science Capstone Competition. 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. Data analytics using Python libraries, Pandas and Matplotlib; What is Data Analytics? 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. 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. As a basic level course, there is no prerequisite for students. MSCA 37014: Python for Analytics This course in python starts with introduction to the python programming language basic syntax and environment. He has more than 13 years of academic and professional experience in the use of computational modelling and data-driven tools, applying them to solve problems in public health, water resource management and air quality in buildings. It covers basic Python programming techniques and preliminary data analysis, with a great emphasis on addressing practical business problems and real datasets. 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. Learn the Fundamentals of Python Programming in a practical, fun, and interactive training workshop at Intellisoft Systems. It is a language that can be applied throughout the data pipeline, which includes data management, wrangling, modelling and visualisation. He also read widely on the different topics related to data science and artificial intelligence, keeping himself up-to-date with their development. 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. “80 Interview Questions on Python for Data Science” is published by RG in Analytics Vidhya. Try to provide me good examples or tutorials links so that I can learn the topic "data science and analytics with python". At the end of this course, participants will gain an overview of the Python ecosystem as well as the skills necessary to self-learn and continue on their Python learning journey. 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 … 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). 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. We want to help University Students learn Python technicalities at their own pace before using it for advanced analytics purposes. As a basic level course, there is no prerequisite for students. Python — 34 questions. BMK5202 Python Programming for Marketing Analytics This module is an introductory course for Python programming and data analytics. Data Analytics Discover how to unlock insights from Big Data using data science. Offered by IBM. You can find the repository and official documentation on … Log on to view the latest jobs that are best for you. The students are expected to get their hands really dirty by applying (and even messing up) the tools in analytics software (R or Python). 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). Python For Analytics. 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. Data Visualization with Matplotlib. NUS SCALE Data Analytics Courses. Includes concise notes with heavy emphasis on statistics, and useful codes for python coding If you are someone who is passionate about Data Science, Machine Learning and Data Analytics, then this course is for you. Python is one of the most popular languages for business analytics today and continues to grow at an astonishing rate. 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. 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. Given its versatility and applicability to data analysis, it has become the tool of choice for most industries. 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. Google Analytics API Python client. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! 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. Put your fluency in Python through its paces and watch it pay off long-term in spades. 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 … We will use the Python client for the Google Analytics API. Julian has taught programming and data management for business at UNSW. Learn how to analyze data using Python. Find out more. Python is one of the most popular analytical programming languages for data analysis, due to its high readability and active developer ecosystem. Python is a first-class programming language for modern web and mobile development and is used by companies like Instagram, Spotify, Amazon and more. After his Phd study, he worked as data analyst and scientist in manufacturing and commodity trading companies. Python has become a key driver in the explosion of big data analytics and machine intelligence across most industries. He has over 30 years’ experience in IT and information management. Marketing NUS Business School. Python for Data Analytics . Learn how to solve real world problems by applying statistical techniques and machine learning models using Python. Follow the installation instructions on the Miniconda Homepage. R, SAS), Python is the only reliable general-purpose programming language BIZ 2 Building 1 Business Link Singapore 117592 +65 6601 5423 bizshortcourses@nus.edu.sg Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. Most computers and all MacOS systems have Python built in. We are now located at 3 campuses as our main campus ISS @25 HMKT undergoes renovation. Branding guidelines. Course Objectives. Edmund Low is a lecturer with the University Scholars Programme (USP) at the National University of Singapore. Terms and Conditions apply. This course introduces basic Python programming and community best practices such as using Jupyter/Python. 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. To date, he has conducted over 1,600 man-hours of data science training. 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. 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. Majorly, it has the great computational intensity and has powerful data analytics libraries. 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