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Python Data Analysis Masterclass

Sessions 2 days
Duration 15 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.

Download Course Brochure

This course is for beginners. No prerequisite is required.

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

Python Data Analysis Masterclass

Course Code: C193

67 Review(s) | Add Your Review

Python Data Analysis Masterclass gives you hands-on skills to prepare, transform, visualise and analyse data using Python and its powerful data libraries. Python has become the language of choice for data analytics because it combines readable code with tools such as pandas, NumPy, Matplotlib and Seaborn that handle everything from simple summaries to advanced analysis. This masterclass is designed for analysts, business users, researchers and professionals with basic Python knowledge who want to work with data more effectively.

You will start with data preparation, loading data from CSV, Excel and other sources into pandas, inspecting it and handling missing values, duplicates and incorrect data types. Next you will learn data transformation, including filtering, sorting, grouping, merging and reshaping datasets, and creating new calculated columns. You will then move into data visualisation, using Matplotlib and Seaborn to build clear line, bar, scatter and distribution charts that reveal patterns and communicate results effectively.

The later topics cover data analysis, applying descriptive statistics, correlation and grouping to answer business questions, followed by advanced data analytics such as time series analysis and an introduction to predictive techniques. Every topic is hands-on with realistic datasets in Jupyter notebooks, so you build a portfolio of working analyses. By the end of the masterclass, you will be able to use Python confidently to turn raw data into reliable insights that support decision-making.

Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.

No funding is available for this course

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

Course Fee

$700.00 (GST-exclusive)

$763.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

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

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.

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

Topic 1: Data Preparation

Topic 2: Data Transformation

Topic 3: Data Visualization

Topic 4: Data Analysis

Topic 5: Advanced Data Analytics

Course Info

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:

You will need the following for this course:

Python 3 – free
Visual Studio Code – free
Google Colab – free, runs in the browser with a Google account

Hardware: Windows PC or Mac laptop

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

Dr. Alvin Ang is a data scientist and data science educator with a PhD in Operations Research, an MSc in Logistics and a BEng in Mechatronics, Robotics and Automation Engineering, all from Nanyang Technological University. Operations research is the mathematics of better decisions, and his published work on Kanban production-control systems at IEEE conferences reflects the quantitative rigour he brings to every class. He has served as an IBM Data Science Instructor, a Research Fellow at NUS, a Principal Consultant in data science and an Assistant Professor of Mathematics at SP Jain School of Global Management, where he was named Mathematics Professor of the Year, and he lectured undergraduates in statistics and quantitative methods at SUSS. Since 2021 he has trained professionals at Tertiary Infotech in Python, R, SQL, statistics, Excel analytics, Tableau, Power BI, Apache Spark, machine learning and deep learning, and he founded DataFrens.sg, a community for data scientists in Singapore. An ACLP-certified adult educator, he is known for connecting technical concepts to practical, real-world applications, a strength echoed in hundreds of learner recommendations.

In Python Data Analysis Masterclass, Dr. Ang teaches the end-to-end Python workflow he uses as a data scientist: loading and cleaning data with pandas, transforming and summarising it, visualising patterns with Matplotlib and Seaborn, and applying analytical techniques to answer business questions. His operations research background helps learners choose the right method and interpret results correctly, and hands-on exercises on realistic datasets build a repeatable analysis process.

Terence Ee is an experienced IT leader and consultant with more than 25 years of expertise in technology management, information systems, and digital transformation. He has served as Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he led major IT modernization projects. Since 2017, he has worked as an independent consultant and ACLP-certified trainer, specializing in guiding SMEs and enterprises in adopting future-ready digital platforms. As a WSQ-accredited trainer, Terence delivers programs in digital collaboration, IT governance, and productivity tools. His facilitation emphasizes case studies, simulations, and hands-on practice, enabling learners to apply modern IT systems such as Microsoft 365 and Google Workspace to improve collaboration and business efficiency. With his leadership background and deep IT expertise, Terence prepares learners to thrive in digitally transforming environments.

CY Quah is an ACLP-certified trainer and data science professional with extensive experience in Python, NLP, and machine learning. He has led AI training programs for SAP, Temasek Polytechnic, and IMDA under the SGUnited Mid-Career Pathways initiative, and has delivered corporate workshops on text analytics, recommender systems, and chatbot development. His expertise includes applying NLP tools such as NLTK, spaCy, and Gensim for sentiment analysis, topic modeling, and text classification.

Dr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products
Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book price, awards and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.
Dr. Alfred Ang is a ACTA certified trainer. He was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.

Ken Yuen is an ACTA-certified adult educator specializing in STEM education, IoT systems, and programming. With a background in electrical and electronics engineering from NTU, he has conducted WSQ and SkillsFuture courses in Arduino, Raspberry Pi, micro:bit, Jetson Nano, and Python. He is also a registered MOE instructor, having taught coding and robotics programs in over 50 schools, equipping students and professionals alike with practical IoT and programming skills. In his IoT courses, Ken focuses on hands-on experimentation with microcontrollers, sensors, and automation systems. His prior experience as a Technical Consultant at Anson Engineering saw him develop IoT-based SCADA and temperature monitoring systems for industrial applications, giving him strong industry insight. By blending educational expertise with technical project experience, Ken ensures learners develop the confidence to build, test, and apply IoT solutions in real-world contexts.

Review

Customer Reviews (67)

Excellent training that bridges technical skills and real-world application Review by Course Participant/Trainee

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

Just wrapped up Alvin's Python for Data Analytics training at LTA, and the experience far exceeded what I expected. What sets Alvin apart is how he bridges technical concepts with real-world praxis — every Pandas operation, every cleaning technique, every visualisation choice came with a clear "this is why it matters in your work". He has that rare ability to translate data science theory into practical capability, which is exactly what a working professional needs. The sessions were also a great way to start building a data-driven learning culture within our team. Alvin and I have kept the conversation going on learning agility and embedding these practices into our day-to-day work — that continued exchange is itself a mark of a trainer who genuinely cares. Strongly recommend Alvin to anyone looking to make Python and data analytics truly applicable, not just academic. (Posted on 7/5/2026)

Test Review by Course Participant/Trainee

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2. Do you find the trainer knowledgeable in this subject?
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Test detail (Posted on 7/5/2026)

will recommend Review by Course Participant/Trainee

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

. (Posted on 7/8/2024)

will recommend Review by Course Participant/Trainee

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

To have this course over 3 days
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 12/6/2020)

might recommend Review by Course Participant/Trainee