Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

Additional Information

Duration

2 months (Full Time)

Assessment

3 hours online assessment after each module

Class (No of teacher : student): 1:20

Intake

  • 3 Nov 2025 to 29 Sep 2026
  • 4 May 2026 to 26 June 2026
  • 2 Jan 2026 to 2 Mar 2026
  • 2 Mar 2026 to 27 Apr 2026

Enrolment Requirement

  • Age: 21 years old and above
  • Language Proficiency: At least C6 for GCE "O" Level English
  • Academic: At least C6 for GCE "O" Level in any 3 subjects

Graduation Requirement

  • Attendance: 75%
  • Assessment: Passed

Data Analysis with Python Essential Training

Course Code: C193

What's This Course About

The world generates data at an increasing pace. Consumers, sensors, or scientific experiments emit data points every day. In finance, business, administration and the natural or social sciences, working with data can make up a significant part of the job. Being able to efficiently work with small or large datasets has become a valuable skill.

The Python data analysis course will teach you data manipulation and cleaning techniques using the popular Python Pandas data science library. The course will cover  import/export of data, Series and DataFrame data types, and how to use functions such as groupby, merge, and pivot tables  for data aggregation.

WSQ Funding

Full Fee $350.00 Before GST
GST $31.50 9% of fee
Baseline Nett $206.50 SG/PR age 21+ · 50% funded
MCES / SME Nett $136.50 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course.

For WSQ funding, please checkout the details at WSQ - Data Analytics and Visualization with Python

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

Course Time

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

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

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • 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.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

Download and Install the following software

Sign up free Google Colab account

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Aspiring Software Developer
  • Data Analyst
  • Web Developer
  • Automation Engineer
  • Data Scientist
  • System Administrator
  • Bioinformatics Specialist
  • Research Scientist
  • Finance Professional
  • Machine Learning Enthusiast
  • GIS (Geographic Information System) Specialist
  • IT Consultant
  • Network Engineer
  • Database Administrator
  • Tech Entrepreneur.

Trainers

Trainers

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.

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