Data Analysis using Python

Course Date:
TBA

Registration Period:
TBA

Duration:
16 hrs / 2 days

Time:
9am to 6pm

Mode of Training :
Classroom

Venue:
Singapore Polytechnic

Course Introduction

A Data Analyst job involves gathering data from internal and external sources as well as cleaning data to remove duplicates or irrelevant information. Besides performing data validation and quality control, a Data Analyst has to be proficient in using computational tools to mine data and identify trends, patterns and correlations. By going through the course, participants will be able to pick up a commonly used computational open-source programming language such as Python, which has a wide selection of matured libraries to assist in manipulating data and draw insights from large data sets.

Course Objective

This course aims to introduce participants to Python, a general purpose programming language commonly used in data science by companies to gain insights from harvested data for competitive advantage. Participants will learn ways to import, scrape, store and manipulate data as well as Python libraries and data science tools commonly used for data analysis.

Course Outline

• Introduction to Data Analysis
• Python basics
• Python List
• Python Dictionaries
• Python Functions and packages
• Introduction to NumPy 
• Introduction to Pandas
• Data visualisation basics with Python
• Real world data analysis examples

Suitable for

Data Analysts, Business Intelligence Managers, Executives, Professionals, Data Engineers

Minimum Entry Requirement / Assumed Skills and Knowledge

Participants must be computer literate and have basic knowledge in using Windows or Mac application.

Certification

• Certificate of Attendance (electronic Certificate will be issued)
A Certificate of Attendance will be awarded to participants who meet at least 75% attendance rate

• Certificate of Performance (electronic Certificate will be issued)
A Certificate of Performance will be awarded to participants who pass the assessment and meet at least 75% attendance rate

Course Fees payable:

Singaporeans aged 25 years and above may use **SkillsFuture Credit balance to offset respective course fees.
¹ Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information, click here.  Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME” together with your online application.
² Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here.

Funding Incentives

Please click here for more information on funding incentives.

Application Procedure

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:
Singapore Polytechnic
PACE Academy

c) Cheques
Please make cheques payable to “Singapore Polytechnic”. Do cross the cheque and write the Registration Reference ID, Applicant Name and NRIC/FIN number at the back of the cheque. When you have completed required details, you may mail the cheque here.

Please note that an administrative charge of $15 will be imposed for any returned cheques from the bank or financial institution.

2. All successful applicants will be notified with a letter of confirmation via email.