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The demand for data analysts in the market is growing, because businesses need them. This program turns individuals like you into highly-competent data analysts, ready to take on projects at various industries from telco, manufacturing, finance, marketing and more.
Future-Proof Roles You Can Fill
- Data Analyst
- Business Analyst
- Product Analyst
- IT System Analyst
- Data Analyst
- Consultant
- Marketing Analyst
Tasks You Will Accomplish
- Simulate a roulette game in Python
- Create interactive visualisation using Plotly and Seaborn
- Build web app using Streamlit
- Using SQL to clean and analyse Data
- Web Scrape using Beautiful Soup and Selenium for dynamic page
- Text Analysis Operations using NLTK
Skills You Will Acquire
- Python
- Jupyter Notebook
- SQL
- Streamlit for web app
- Pandas and Numpy for data collection and analysis
- Seaborn and Plotly for data visualisation
- Git and github for project management
- Beautiful soup and selenium for web scraping
As an employment-as-a-norm program, this program is based on an outcome-based learning methodology where you will learn through projects. Here's the syllabus you can expect from this program:
Milestone Project 1: Execute an E-commerce Sales Analysis
- You are tasked with defining the criteria for an e-commerce sales study. To steer upcoming research, you'll need to specify data indicators, pinpoint emerging trends, and identify areas requiring enhancement.
- Logic and Repetition
- Data Analysis with External Libraries
Milestone Project 2: Perform a Market Evaluation
- You're part of an agribusiness firm that's planning for international expansion. Your task involves identifying potential countries for business growth and expansion.
- Data Visualisation
- Statistics
- Building Interactive Dashboards with Streamlit
- SQL for Data Analysis
Milestone Project 3: Develop Market Analysis Through Web Scraping Data
- An international bank hopes to find new customers. From existing data, build a model to analyze and predict the income of prospective clients. An international banking institution aims to attract new clients. Utilising available data, construct a model that can analyse and forecast the potential income of future clients.
- Introduction of Web Scraping and Regular Expression (RegEx)
- Beautiful Soup and Selenium
- Text Visualisation and NLTK
This is an online self-pace program with 8 online live sessions. You can interact with your instructor during office hours through our Slack communication platform. You are highly encouraged to attend all online live sessions. Recordings will be provided if you are absence with reason. We meet online from 7.30pm-9.30pm, Tuesdays for every session on the following dates:
Live Session 1: 7.30pm-9.30pm
- 15 minutes: Introduction of the instructors
- Introduction of learners
- Main Objective of the course
- Going through the course structure and outline
- Introduction to Milestone Project 1
Live Session 2: 7.30pm-9.30pm
- Detailed briefing of Milestone Project 1
- Question and Answer session
- Tips and clues on how to approach the project
Live Session 3: 7.30pm-9.30pm
- Introduction to Milestone Project 2
- Introduction to the relevant course module
- Discussion on the learning approach for this module
Live Session 4: 7.30pm-9.30pm
- Detailed discussion on Milestone Project 2
- Question and Answer session
- Tips and guidance on how to approach the project
Live Session 5: 7.30pm-9.30pm
- Detailed briefing of Milestone Project 3
- Introduction to the relevant course module
- Discussion on the learning approach for this module
Live Session 6: 7.30pm-9.30pm
- Detailed discussion on Milestone Project 3
- Question and Answer session
- Tips and guidance on how to approach the project
Live Session 7: 7:30pm-9.30pm
- Detailed briefing of the Capstone Project
- Introduction to the relevant course module
- Discussion on the learning approach for this module
Capstone Project Submission
- Submission dateline for Capstone Project
Live Session 8: [Interview Preparation] 7:30pm-9.30pm
- Detailed discussion on interview techniques and strategies
- Role-play of interview scenarios
- Question and Answer session on interview preparation
- Tips and guidance on how to succeed in data analysis interviews
- Monthly Fee - RM1,500 x 4 Months Installment
- One Time Full Payment - RM4,800
Hands-on, in-person training at our flagship campus. Low learner to instructor ratios enable personalized instruction for a premium learning experience.
Premium, instructor-led online digital skills training – from anywhere in the world. Small class sizes encourage engagement and provide an unmatched learning experience.