14 hours / 2 days
9:00am to 6:00pm
Mode of Training:
Facilitated Learning (F2F)
Python has gained much popularity among data scientists and professionals for its ease-of-use and excellent library support. The pandas and Seaborn libraries remain one of the essential tools in the data analyst’s repertoire. Through this course, participants will gain much valued skills in creating exciting and insightful visualizations crucial in understanding today’s data saturated world.
The course aims to introduce participants to the data analytic and visualization workflow. Pandas and Seaborn will be used to perform statistical and visual analysis of data and incorporated into a Jupyter notebook. The course will emphasize on the skills needed in processing and understanding big data through visual analysis, the importance of reproducible research and communication and collaboration within data analytics teams.
• Introduction to the pandas library
• Reading and cleaning data from online, databases and text file sources.
• Data manipulation and database related concepts
• Statistical analysis using aggregation functions in pandas.
• Introduction to the Seaborn library.
• Understanding various principles of visualization
• Mastering the library commands to create high level visualizations.
• Reporting with Jupyter notebooks.
Data Engineer, Data analyst, Business Intelligence manager
Minimum Entry Requirements / Assumed Skills and Knowledge
Basic statistical knowledge
Award / Certification / Accreditation
• Certificate of Performance (electronic Certificate will be issued)
A Certificate of Performance will be awarded to participants who pass the examination and meet at least 75% attendance rate
||Total fees (incl. GST)
|Singapore Citizens aged 40 and above1
|Singapore Citizens aged below 40
|Singapore Permanent Residents
|SME-sponsored Singapore Citizens and Permanent Residents2
|Full Course Fee
Singaporeans aged 25 years and above may use **SkillsFuture Credit balance
to offset respective course fees.1Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information of the scheme, click here. To view SP's list of similar funded courses, click
here. Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME” together with your online application.2Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here.
Please click here for more information on funding incentives.
Eligible for SkillsFuture CreditTerms and Conditions*Please note that once the maximum class size is reached, the online registration will be closed.
You may register your interest, and would be notified if there is new run.
1. All applications must be made via Online Registration at www.pace.sp.edu.sg
Course fees can be paid by the following payment modes:
a) Credit Cards, Internet Banking, NETS (Not Applicable for company sponsored)
For e-payment using Visa/Master cards and Internet Banking, please click on the ‘Make e-Payment’ button on the acknowledgement page to proceed.
b) For NETS payment, you can pay at:
c) For payment via PayNow, please enter the UEN No. T08GB0056ACET and indicate the invoice/registration number.
*With effect from 1 August 2021, cheque payment will not be available.
2. All successful applicants will be notified with a letter of confirmation via email.