Storytelling with Advanced Data Visualisations · 2020. 10. 2. · C++ and JavaScript. He also...
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SMU ACADEMY OVERVIEW used in various settings from indicating underlying relationships to exposing characteristics of the data. This programme builds on the basic skills of Python with Matplotlib or equivalent, with advanced data visualisation techniques and packages drawn from the Python ecosystem. Participants will learn how to make interactive data visualisation and interpret them as a basis for more involved quantitative techniques; where these plots can be used to yield statistical insights in lieu of plain numerical methods. PROFESSIONAL Copyright © 2020 Singapore Management University. All Rights Reserved. TOPICS / STRUCTURE • Recap the basic visualisation techniques with Matplotlib and Seaborn • Use the Plot.ly package to visualise complex data such as time series and geospatial data • Use the wordcloud package to visualise text data LEARNING OBJECTIVES • Customise and enhance visualisation using parameters and function provided in Matplotlib and Seaborn • Interpret time series plots Storytelling with Advanced Data Visualisations Advanced Certificate in Applied Data Analytics Fee SGD1712.00 incl. GST As low as SGD193.60 incl. GST (for Singapore Citizens / PRs) after maximum funding Registration For enquiries, please contact Gilbert at [email protected] Programme Schedule Each module is conducted over 2 weekday evenings and 1 full Saturday TRAINER PROFILE Ian Choo Founder, SG Code Campus Cheng Wei Lee Senior Data Scientist and Instructor, SG Code Campus Cheng Wei holds a Master of Science in Statistics from Imperial College London. He is an avid Machine Learning practitioner. As a former Data Scientist at PwC, he applied his expertise to building smart applications in areas as diverse as health care, language multiple technology stack development such as Microsoft SQL server, Matlab and Google Cloud Platform (GCP), to name a few. As a principal instructor and developer at SG Code Campus, Cheng Wei has designed and taught comprehensive curricula in Python, C++ and JavaScript. He also developed and taught Machine Who Should Attend • Data science professionals seeking to apply Python to data problems e.g. business intelligence analysts, data engineers • Managers looking into costs and performance hurdles in predictive modelling • Anyone with an interest in learning about the advanced data analysis techniques and applying it in practice • Experience in Python programming (equivalent to that attained in in Python Programming programme) is essential. Ian holds a Master of Science in Management Science & Engineering from Stanford University and a Bachelor of Arts in Applied Mathematics & Economics from the University of California, Berkeley. His love for computing began when he dived into the study of Computational Engineering and Machine Learning over three years as a graduate student at Stanford. After graduating, he took on a role as a quant risk manager at Barclays Investment Bank, where he got to further sharpen his craft data-munging reams of financial data, programming risk engines and coding up financial models in Python, R, VB.NET and the NAG numerical library (FORTRAN). As the founder of SG Code Campus, Ian has designed and taught curricula in Web and Mobile programming, Cloud Computing, Data Science and Machine Learning to a variety of audiences including kids, youths, Polytechnic, University students, as well as working professionals. He often spends his days figuring out how SG Code Campus can better teach and engage a plurality of learners through a different teaching approaches and course formats.
Transcript of Storytelling with Advanced Data Visualisations · 2020. 10. 2. · C++ and JavaScript. He also...
SMU ACADEMY
OVERVIEW
used in various settings from indicating underlying relationships to exposing characteristics of the data. This programme builds on the basic skills of Python with Matplotlib or equivalent, with advanced data visualisation techniques and packages drawn from the Python ecosystem.
Participants will learn how to make interactive data visualisation and interpret them as a basis for more involved quantitative techniques; where these plots can be used to yield statistical insights in lieu of plain numerical methods.
PROFESSIONAL
Copyright © 2020 Singapore Management University. All Rights Reserved.
TOPICS / STRUCTURE
• Recap the basic visualisation techniques with Matplotlib and Seaborn
• Use the Plot.ly package to visualise complex data such as time series and geospatial data
• Use the wordcloud package to visualise text data
LEARNING OBJECTIVES
• Customise and enhance visualisation using parameters and function provided in Matplotlib and Seaborn
• Interpret time series plots
Storytelling with Advanced Data VisualisationsAdvanced Certificate in Applied Data Analytics
Fee
SGD1712.00 incl. GST As low as SGD193.60 incl. GST (for Singapore Citizens / PRs) after maximum funding
Registration
For enquiries, please contact Gilbert at [email protected]
Programme Schedule
Each module is conducted over 2 weekday evenings and 1 full Saturday
TRAINER PROFILE
Ian holds a Master of Science in Management Science & Engineering from Stanford University and a Bachelor of Arts in Mathematics & Economics from the University of California, Berkeley. His love for programming began when he dived into the study of Optimisation Algorithms and Machine Learning as a graduate student at Stanford. As a quant risk manager at Barclays, Ian got to further sharpen his craft programming risk engines and
numerical library (FORTRAN).
As founder of SG Code Campus, Ian has designed and taught comprehensive curricula in Python and JavaScript, as well as Data Science and Machine Learning to more advanced students. Apart from teaching advanced topics in computer science to senior
can better teach and engage our learners through a variety of modalities as well as technologies.
Ian Choo
Founder, SG Code Campus
Cheng Wei Lee
Senior Data Scientist and Instructor, SG Code Campus
Cheng Wei holds a Master of Science in Statistics from Imperial College London. He is an avid Machine Learning practitioner. As a former Data Scientist at PwC, he applied his expertise to building smart applications in areas as diverse as health care, language
multiple technology stack development such as Microsoft SQL server, Matlab and Google Cloud Platform (GCP), to name a few.
As a principal instructor and developer at SG Code Campus, Cheng Wei has designed and taught comprehensive curricula in Python, C++ and JavaScript. He also developed and taught Machine
Who Should Attend
• Data science professionals seeking to apply Python to data problems e.g. business intelligence analysts, data engineers
• Managers looking into costs and performance hurdles in predictive modelling
• Anyone with an interest in learning about the advanced data analysis techniques and applying it in practice
• Experience in Python programming (equivalent to that attained in
in Python Programming programme) is essential.
Ian holds a Master of Science in Management Science & Engineering from Stanford University and a Bachelor of Arts in Applied Mathematics & Economics from the University of California, Berkeley. His love for computing began when he dived into the study of Computational Engineering and Machine Learning over three years as a graduate student at Stanford. After graduating, he took on a role as a quant risk manager at Barclays Investment Bank, where he got to further sharpen his craft data-munging reams of financial data, programming risk engines and coding up financial models in Python, R, VB.NET and the NAG numerical library (FORTRAN).
As the founder of SG Code Campus, Ian has designed and taught curricula in Web and Mobile programming, Cloud Computing, Data Science and Machine Learning to a variety of audiences including kids, youths, Polytechnic, University students, as well as working professionals. He often spends his days figuring out how SG Code Campus can better teach and engage a plurality of learners through a different teaching approaches and course formats.
