Course Details
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)
Course Info
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)
- Basic Python prog language knowledge
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
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
| Individual Sponsored Trainee | Employer Sponsored Trainee |
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SkillsFuture Credit:
PSEA:
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Absentee Payroll (AP) Funding:
SFEC:
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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
- The candidate has the right to disagree with the assessment decision made by the assessor.
- When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
- If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
- If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
- If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
- 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.
- The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
- The candidate must lodge the appeal within 7 days, giving reasons for appeal
- The assessor can help the candidate with writing and lodging the appeal.
- he assessment manager will collect information from the candidate & assessor and give a final decision.
- A record of the appeal and any subsequent actions and findings will be made.
- An Assessment Appeal Panel will be formed to review and give a decision.
- The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
- The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
- Please click the link below to fill up the Candidates Appeal Form.
Job Roles
- 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
Customer Reviews (96)
- will recommend Review by Course Participant/Trainee
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. (Posted on 9/20/2021)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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Not sure this is feasible, give a gap of 1-2 days or even a week for the student to disgust and practice the materials that taught, before proceed the second part of the training.1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
The trainer and administrative staff are effective and helpful. (Posted on 9/13/2021) - will recommend Review by Course Participant/Trainee
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. (Posted on 9/10/2021)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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. (Posted on 9/2/2021)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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Course length is just right. Material is good and trainer is patient and helpful in answering queries, providing additional information and guidance (Posted on 7/11/2021)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - NA. Thank you Terence for the wonderful coaching. As a first time python student, i have learnt alot! Review by Course Participant/Trainee
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Great energy from course instruction: Terence. Pity that the class was held during covid so class size was a bit smaller. If there is opportunity for bigger class and longer duration to code and apply to some real world use cases eg. analysis and visualization stock market data. (Posted on 5/9/2021)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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Physical classroom is better based on my experience1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
good course and useful for work (Posted on 4/26/2021) - will recommend Review by Course Participant/Trainee
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Great course and trainer (Posted on 4/24/2021)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - might recommend Review by Course Participant/Trainee
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The trainer (Terence) is knowledgeable in teaching this course. (Posted on 2/7/2021)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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Everything is good, but maybe can include a summarized table for the different python commands and its uses in the course notes.1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
The trainer, Terrence, was very patient in making sure that I understood what was going on. Truly appreciate that (Posted on 12/19/2020) - will recommend Review by Course Participant/Trainee
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Trainer Terence is very patient and very approachable, even though we do not have basic knowledge in python, he is willing to go to the extra miles and answer our questions about basic python and gave a lot of practical applications suggestions in the real world which i find it particularly useful. I felt that his class has really value added as he introduced a lot of additional resources for us to read more about Python. He even stayed back without having dinner to go through with us individually which i find very helpful in helping me to learn from mistake. (Posted on 12/10/2020)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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. (Posted on 12/7/2020)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - might recommend Review by Course Participant/Trainee
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More application and hands on , less theory (Posted on 11/10/2020)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - very well organised and easy to follow Review by Course Participant/Trainee
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very well organised and easy to follow1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
ence is very helpful and knowledgeable in Python. He makes the course easy to follow and understand. (Posted on 10/21/2020) - will recommend Review by Course Participant/Trainee
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Terence has been very patient and dedicated instructor. Good tutor and willing to go the extra mile to help you to understand the module better. Will recommend to people who wants to learn about the Python with data visualization !! (Posted on 10/5/2020)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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Terence has been very patient and dedicated instructor. Good tutor and willing to go the extra mile to help you to understand the module better. Will recommend to people who wants to learn about the Python with data visualization !! (Posted on 10/4/2020)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment








