WSQ - Data Analytics and Visualization with Python

Topic 1: Data Preparation

• Data Analytics with Pandas
• Pandas DataFrame and Series
• Import and Export Data
• Filter and Slice Data
• Clean Data

Topic 2: Data Transformation

• Join Data
• Transform Data
• Aggregate Data

Topic 3: Data Visualization

• Data Visualization with Matplotlib and Seaborn
• Visualize Statistical Relationships with Scatter Plot
• Visualize Categorical Data with Bar Plot
• Visualize Correlation with Pair Plot and Heatmap
• Visualize Linear Relationships with Regression

Topic 4: Data Analysis

• Statistical Data Analysis
• Time Series Analysis

Topic 5: Advanced Data Analytics

• Data Piping
• Groupby and Apply Custom Functions
• Linear Regression

Final Assessment

• Written Assessment - Short Answer Questions (WA-SAQ)
• Practical Performance (PP)

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

• Positive Learning Attitude
• Enthusiastic Learner

Experience

• Minimum of 1 year of working experience.
• Minimum 18 years old

Minimum Software/Hardware Requirement

Software:

Download and Install the following software

• Python
• Visual Studio Code
• Anacoda

Sign up free Google Colab account

Hardware: Window or Mac Laptops

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity. 

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Steps to Apply Skills Future Claim

• The staff will send you an invoice with the fee breakdown.
• Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
• Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
• Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The  SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

• Log in to your U Portal account to submit your UTAP application upon completion of the course.

Note

• SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
• All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
• An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
• UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
• UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Appeal Process

1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
9. The assessor can help the candidate with writing and lodging the appeal.
10. he assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.

• Data Scientist
• Data Analyst
• Business Intelligence Developer
• Research Scientist
• Machine Learning Engineer
• Financial Analyst
• Data Visualization Specialist
• Marketing Analytics Specialist
• Quantitative Researcher
• Data Engineer
• Bioinformatics Analyst
• Operations Research Analyst
• Economic Analyst
• Predictive Modeler
• Sports Analytics Specialist

Dr Alvin Ang: Dr Alvin Ang is a ACTA certified trainer. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally

Terence Ee: Terence Ee is a ACTA certified trainr that has delivered IT training in Singapore and Myanmar. He has also facilitated faith formation courses for Christians in Singapore and Myanmar. As a trainer, his mission is to co-create insightful and actionable learning experiences with his learners.His current areas of focus include project management, information security management, quality management and office productivity applications.

Terence has more than 25 years of corporate IT experience. He has held senior management roles in the public and private sectors. He holds a Master of Science in Technology Management, a Bachelor of Science in Computer and Information Sciences, a Diploma in Family Education, and the Advanced Certificate in Training and Assessment (ACTA). Part of his spare time goes towards tutoring his children in their studies (while learning a thing or two along the way). He is also imparting to them the essential skills for thriving in a digital world.

Bernard Peh: Bernard Peh is a Business Development Director and ACTA certified trainer with over 20 years of experience in the financial services industry. He has held key leadership roles and integrated technology, digital marketing, and data science to drive growth in sales, recruitment, and financial planning. As a mentor, Bernard has developed many successful financial professionals who have achieved top industry accolades like TOT, COT, and MDRT.

With deep expertise in data science, Bernard has advised firms and designed training programs for institutions like NTUC Learning Hub. He continues to apply data science to collective funds, achieving exceptional results such as a 400% increase in assets under management, while empowering financial professionals with technology-driven solutions.

Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis.

Shahul H. Maricar: Shahul H. Maricar is a ACTA certified trainer. Shahul H. Maricar has been a content developer and  webmaster, building educational websites and applications with HTML, CSS and JavaScript. He then served as an IT analyst, writing programs for automating custom workflows as well as data extraction and analysis in the healthcare field.  

He is currently a freelance educator and is actively involved with development projects in game programming,  computer-aided design and computer graphics.

Noel Lou: Noel Lou is a ACTA certified trainer. Experienced Mentor with a demonstrated history of working in the education management industry. Skilled in IOS, Unity3D, Python, Microsoft Excel, Customer Service, and Microsoft Word. Strong professional with a Bachelor’s Degree focused in Marine offshore engineering from Newcastle University.