Customised In-House Python Courses | 1000+ Happy Learners

Our Motivation

WHY CUSTOMISE A COURSE?

While our standard workshops offer a solid foundation for learning Python, applying these concepts to specific, day-to-day tasks can still be challenging.

Customizing a course with us bridges this gap. By integrating your organization’s real-world use cases into the curriculum, learners can not only master the basics but also gain the confidence to immediately apply their new skills to relevant challenges in their work.

This tailored approach ensures maximum relevance and impact.

we can tailor courses for varying skill levels:

Beginners:
Learners who are new to programming and analytics
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Intermediate:
Data analysts familiar with other analytical tools but not with Python
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Advanced:
Data analysts familiar with Python but requires an introduction to new/advanced technology and libraries (e.g. Gen AI APIs, Pyspark)

Approach To Customisation

Step 1: discovery

In this step, we begin with discovery interviews to understand your team’s specific use cases. Through this process, we’ll gain a deeper insight into your organization’s unique challenges and opportunities.

Together, we’ll evaluate which use cases have the highest impact and are the easiest to implement.

Our goal is to identify quick wins, ensuring that your organization achieves immediate ROI from the training.
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Step 2: determine training paramaters

Step 3: COURSE DESIGN

In this step, we collaborate with you to define the key training parameters that will shape learning outcomes and the ease of implementation. These factors include:

- Number of participant
- Skill levels of participants
- Training duration and schedule
- Technology constraints
- Preferred learning format (e.g., hands-on, lecture-based, hybrid)
- Team collaboration (e.g., group projects or individual tasks)

Our customised course will use one of our "off-the-shelf" Python workshop as a base outline to begin customisation. You may view them here:

- Automate Excel With Python For Beginners
- Automate Work With Python And OpenAI GPT (ChatGPT) Models
- Data Engineering on Spreadsheets, Databases And Multiple Data Sources with Python and SQL

Common Use Cases

Manipulating, merging and aggregating spreadsheet data
Extract Transform Load (ETL) before data visualisation on tools like Power BI
ETL from data warehouses and file systems
Process data from different hard copy files (e.g. invoices) with Generative AI

Course Instructor

Brandon Ong
Lead Trainer at Sozcode

FEATURED CASE STUDY

Ministry of Digital Development And Information

We customized a course to enable a team of internal auditors toidentify high risk transactions using Python and Gen AI.

The internal audit team at MDDI mainly uses Excel to analyse their transactions in their internal audit process. They wanted to explore if they could use Python to automate the analysis of different scenarios.
Some usecases include:
- Split transactions
- Duplicate transactions
- Clustering of high-risktransactions

A Python course was customised based on their actual datasets to achieve these end-goals above. Participants went back with working products that they can directly apply to their personal datasets.

I highly recommend the Data Analysis and Visualization with Python course taught by Brandon Ong. The course is suitable for both complete novices and people who have some prior coding experience.

Brandon understands his audience's needs very well and pitches his lessons at a suitable level, avoiding complex jargon and concepts where possible. He also motivates concepts and techniques he teaches with interesting anecdotes.

Kenneth Kwok

Principal Research Scientist
A*STAR

Brandon was very clear in articulating his words and constantly reminding us that we can stop him at any point for him to repeat a process. The activities that were taught to us are very relevant to the use cases in SCDF.

Kimi Soh

Development Officer
Singapore Civil Defence Force

Brandon is really dedicated, passionate, patient. he managed to package the training in a super interactive, concise and fun manner. Its easy to retain knowledge by seeing the application of Python. This is refreshingly different from other courses

Peck Hwang Wong

Marketing Manager
Amazon

Brandon has received consistent positive feedback from the course attendees on his clear content delivery and patience in guiding the participants through scenarios which are relevant and applicable to real world challenges faced by organisations. The attendees were kept engaged during the highly interactive, well designed course and are encouraged to continue their learning of the subject matter beyond the workshop.

Doreen Ang

Trainer
Nanyang Technological University

Brandon is very knowledgeable and passionate about this topic, with plenty of real-life experiences in-built into his teaching. Instead of going chapter by chapter, we learn to apply the basic but important knowledge and go straight to playing with the software and visualization.

Ding Hui Fang

Senior Executive (Procurement)
Prime Minister’s Office

Brandon provides good project focused learning rather than the typical classroom style lecture. Examples given are very practical and real world

Yip Churn Keit

AOO
Singapore Police Force

Refreshingly different from other courses

Brandon is really dedicated, passionate, patient. he managed to package the training in a super interactive, concise and fun manner. Its easy to retain knowledge by seeing the application of Python.

Peck Hwang Wong

Marketing Manager, Amazon

Plenty of real-life experiences in-built into his teaching

Brandon is very knowledgeable and passionate about this topic. Instead of going chapter by chapter, we learn to apply the basic but important knowledge and go straight to playing with the software and visualization.

Ding Hui Fang

Senior Executive (Procurement), Prime Minister’s Office

Very relevant to our use cases

Brandon was very clear in articulating his words and constantly reminding us that we can stop him at any point for him to repeat a process.

Kimi Soh

Development Officer, Singapore Civil Defence Force

Attendees were kept engaged during the highly interactive, well designed course

Brandon has received consistent positive feedback from the course attendees on his clear content delivery and patience in guiding the participants through scenarios which are relevant and applicable to real world challenges faced by organisations. The attendees are encouraged to continue their learning of the subject matter beyond the workshop.

Doreen Ang

Trainer, Nanyang Technological University

Project focused learning rather than a lecture

Brandon provides good project focused learning rather than the typical classroom style lecture. Examples given are very practical and real world

Yip Churn Keit

AOO, Singapore Police Force

OUR TRAINING METHODOLOGY

Big-Picture Learning

Long, chapter-by-chapter course
tedious to understand

Traditional technology courses are usually taught chapter by chapter. Students often get bored and lost in a very lengthy learning process.This lengthy learning process discouragesmost students through their learning journey.

Big picture understanding of data and AI by teaching selected chapters in a 2 day course

By teaching only relevant chapters to achieve a big picture understanding, we keep students engaged throughout our course. We hope to educate and inspire individuals just enough to get started, experiment and break things.

Big-picture learning with selected chapters

Predict Singapore property prices in 2 days

• Python Basics
• How to think of Lists and Dictionary like a table
• Pandas and plotly
• Data visualisation hackathon (colleagues will present insights)
• Intuition and concepts behind machine learning
• Scikit-learn, Tensorflow

A generic Python course

Introduction to Python

• Python Basics: chapter 1, chapter 2...
• Loops, If: chapter 1, chapter 2...
• Functions: chapter 1, chapter 2...
• NumPy: chapter 1, chapter 2...