Understand and communicate the story living in your data with graphical representations that summarize large amounts of information to quickly highlight relationships, patterns, trends, and outliers. In this session, we’ll discuss:

• Types of charts and when to use each
• Charting with Matplotlib and Seaborn (including advanced features such as multiple plots on the same chart, outputting to pdf, and more)
• Parallels between Tableau, Qlikview, PowerBI and Python capabilities
• Other packages (Altair, ggplot, Plotly, D3.js)

Participants can expect to walk away with a working understanding of data visualization concepts (i.e. when, where, how to use), the tools available for your needs, and the technical capability to create compelling visualizations in Python.

While examples are drawn heavily from real estate, these methods are highly adaptable across industries.

Details on workshop

Format:

• 3hrs online interactive lecture

Prerequisites:

• A working knowledge of Python and Pandas. Scikit-Learn is helpful but not required. (PropertyQuants also offers a bootcamp in Python, Pandas, and Scikit-Learn. Learn more here.)

Learn more:

• Refer to our seminar and workshop pages, or email training@propertyquants.com for more information.

Meet your instructor

Keith Tan is a Data Scientist at PropertyQuants. He has a Bachelor of Science (Economics) from Singapore Management University, with a double major in Finance.

He was in the pioneer batch of Management Associates at Singapore Economic Development Board, and eventually graduated to lead the investment facilitation for technology MNCs looking to anchor and expand operations in Singapore. He also graduated from General Assembly with a certification in Data Science.

Course Terms & Conditions