Regus St Martins Tower
Starting at AUD 553
Thu, 18 Dec, 2025 at 09:00 am - Sat, 20 Jun, 2026 at 05:00 pm (GMT+08:00)
Regus St Martins Tower
PERTH, St Martins Tower Level 27, St Martins Centre 44 St Georges Terrace, Australia
Bring your team and save:
1. Groups of three or more receive a 10% discount
2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.
Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs/Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session
The Python for Data Science course provides the essential skills to analyze, visualize, and interpret data using Python. You’ll learn to use popular libraries like Pandas, NumPy, Matplotlib, and Seaborn to explore datasets and uncover insights. Designed for aspiring data scientists and analysts, this course bridges core programming with data-driven decision-making — empowering you to start your journey in the world of data science.
By the end of this course, you will be able to:
This course is designed for anyone ready to explore the world of data science using Python, regardless of prior experience. With expert guidance and real-world datasets, you’ll learn to make sense of data and present your findings visually. Our hands-on approach ensures you don’t just learn theory, but also apply it through practical exercises. Plus, Python is the most popular language in data science — learning it unlocks opportunities in AI, analytics, automation, and more.
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Want to build a data-driven culture within your team?
We offer customizable in-house Python for Data Science training tailored to your organization's goals and data challenges. Looking to upskill your workforce in data handling and analysis? Let us design a program that fits your needs.
Contact us today to schedule a customized in-house, face-to-face session:
Info: • Why Python is essential for data science
• Setting up Jupyter Notebook or VS Code
• Overview of data science workflow
• Activity
Info: • Introduction to DataFrames and Series
• Reading and writing CSV, Excel files
• Data exploration and basic stats
• Activity
Info: • Understanding arrays and vectorized operations
• Array creation, indexing, reshaping
• Using NumPy for basic calculations
• Case Study
Info: • Handling missing data and duplicates
• Data type conversions and string operations
• Filtering, sorting, and transforming data
• Activity
Info: • Plotting line, bar, scatter, histogram charts
• Customizing styles and labels
• Creating multiple plots in a figure
• Activity
Info: • Heatmaps, pair plots, categorical plots
• Using themes and palettes
• Visualizing data distributions
• Activity
Info: • What is machine learning?
• Basics of supervised vs unsupervised learning
• Using scikit-learn for simple models
• Case Study
Info: • Choose a dataset and perform analysis
• Clean, analyze, visualize, and present findings
• Share insights and interpretations
• Activity
Also check out other Workshops in Perth.
Tickets for Python Essentials for Data Science: 1 Day Session in Perth can be booked here.
| Ticket type | Ticket price |
|---|---|
| Group Registration Fee | 553 AUD |
| Early Bird Fee | 614 AUD |
| Standard Fee | 720 AUD |