Master Python for Real-World Analytics and Machine Learning
Applied Python for Data Analysis and Machine Learning
Build practical data projects from scratch — from web scraping to dashboards and ML models — all in one course.
Duration: 5 days
Delivery Mode: Virtual Instructor-led (Virtual Class)
HRDC Claimable: Yes
A manufacturing analyst was stuck relying on Excel for quality defect reports. After learning Python and Pandas, she built an automated data pipeline that cleaned, visualized, and predicted production anomalies — saving 12 hours per week in manual reporting.
In 2023, a logistics firm in Johor integrated Python-based models to optimize their delivery route and fuel consumption.
Outcome:
Transitioned from Excel to Python dashboards using Dash
Built models to forecast high-demand routes
Achieved 18% reduction in fuel usage with automated route optimization
Write clean Python code and use key data science libraries
Manipulate, visualize, and analyze large datasets
Apply machine learning algorithms for prediction and clustering
Stop Copy-Pasting Excel Reports. Start Building Data Products with Python.
This course equips you with practical skills to automate, analyze, and model business data — end to end.
Problem: Static dashboards and repetitive reporting
Solution: Automate with Python and deliver dynamic, reusable outputs
Problem: Data is fragmented across files, websites, and databases
Solution: Learn how to scrape, merge, and query from multiple data sources
Problem: Teams collect data but don’t use it to predict outcomes
Solution: Apply regression, classification, and clustering models
Problem: Businesses lack in-house Python talent
Solution: Build confidence from the ground up — no prior experience required
#1
Python is the #1 language for data analysis globally
Source: IEEE Spectrum Programming Rankings 2024
70%
of analytics managers in Malaysia now list Python as a key hiring skill
Source: Hays Southeast Asia Salary Guide 2024
80%
Teams using Python and ML pipelines reduce reporting time by up to 80%
Source: McKinsey Applied AI Survey
From Pandas to Prediction — Learn Python for Real Business Impact
This isn’t a theory class. You’ll write code, analyze data, and deliver actual projects.
Applied Python for Data Analysis and Machine Learning is your all-in-one gateway to building practical data applications. In just 5 days, you’ll learn the skills needed to manipulate data, uncover patterns, build predictive models, and even deploy them — all using Python.
This 5-day course builds your confidence across core Python coding, applied data analytics, and machine learning — all through guided exercises, case studies, and a final capstone project.
Aspiring data analysts, Python beginners, BI professionals, researchers, or anyone looking to automate and analyze data
None. The course starts from Python basics and builds up to advanced applications.
Automate repetitive reporting tasks with Python
Gain confidence with Pandas, NumPy, Matplotlib, Scikit-learn
Create dashboards with Plotly, Dash, and Seaborn
Apply NLP and web scraping to gather untapped data
Build machine learning pipelines and present predictive models
Core Programming & Data Handling
Python syntax, functions, file handling, error management
Data types, control flows, reading/writing from CSV, Excel, JSON
Data Structures & Libraries
NumPy for arrays and stats
Pandas for data wrangling, joins, aggregations
Visualization & Reporting
Matplotlib and Seaborn for plots
Plotly & Dash for interactive dashboards
Exploratory Data Analysis (EDA) for insights discovery
Machine Learning
Regression, classification (linear, logistic, random forest, k-NN)
Model evaluation: Accuracy, precision, F1, ROC
Clustering and dimensionality reduction (K-means, PCA, DBSCAN)
Special Topics
Feature engineering & encoding
NLP basics (tokenization, sentiment analysis)
Web scraping with BeautifulSoup & Selenium
Capstone Project
Connect to databases
Build and present a real predictive model
Optional: Deploy using Streamlit or Flask
You Don’t Need to Be a Data Scientist — Just Start Thinking Like One
This course transforms how you work with data. From cleaning to prediction, you’ll gain the power to automate reports, visualize hidden patterns, and build Python-based solutions that go far beyond Excel.
FAQs
Is this course beginner-friendly?
Yes. No prior programming experience is required.
Will I learn machine learning from scratch?
Do I need to install anything?
Will there be a project?
Is this different from Power BI or Excel?
Is this course HRDC Claimable?
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