He managed the industrial relationships through projects and attachments. Recently, Julian was ranked 6th in the Microsoft Data Science Capstone Competition. Please log in. Analytics & Operations. His career roles span CIO, Director of IT services, Strategy and Planning, Project management, Applications development, Systems engineering, Data management and IT outsourcing. Accounting & Finance. Programme Dates: 25 Jul - 24 Sep 2022 Venue: Online SGD 1,200 (excl GST) | SGD 1,284 (incl GST) As an educator, Edmund has received both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. This course also includes Expressions, data structures, functions and various libraries of data analytics and visualization. WIFI Access. 52 Hours Intense Bootcamp This is a beginner's course to learn Python and use it to analyze data. The app automatically retrieves your academic records and builds a customized list of skills for you. 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. 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. Includes concise notes with heavy emphasis on statistics, and useful codes for python coding Click. Python is used in Data Analytics in the Fintech industry. Python For Analytics. This course introduces basic Python programming and community best practices such as using Jupyter/Python. 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. 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. 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. BIZ 2 Building 1 Business Link Singapore 117592 +65 6601 5423 bizshortcourses@nus.edu.sg Course Objectives. Python is also ideal for data analysis as the majority of libraries involved in machine learning and data science have Python interfaces. Numpy Mathematical Operations. He is specialized in analyzing, visualizing and mining complex time series data using Python tools sucha as Pandas, Numpy, Matplotlib, SK-Learn, Tensorflow etc. He teaches courses on engineering, statistical methods, data science and analytics. The client supports Python versions 3.4-3.7, but is not tested for newer versions of Python, and Python 2 is deprecated. 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. Most computers and all MacOS systems have Python built in. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. Venue . New libraries for data manipulation, visualisation and data modeling have made Python an increasingly exciting alternative to R as a data science language. 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 … 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. 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. 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 … 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. The tools used will be Anaconda, Jupyter Notebook and Scikit-learn. © National University of Singapore. Log on to view the latest jobs that are best for you. A recording of the pre-programme information webinar on the Python for Analytics programme with NUS Business School faculty. 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