Python for:Data Science
Healthcare
Banking and Finance
Resources and Mining
Education
- Use Python for Data Science
- Basic Python programming Syntax
- Python Data Structures
- Functional programming in Python
- Dictionaries and Modules
- Use Python for Data processing
- File Handling Operations
- Visualisation
- Machine Learning Applications
NEXT AVAILABLE DATES:
3 August 2022
Scarborough, Perth | Virtual Online Classroom
1 Day - full-time
Call 1300 663 228 or email register@codemasterinstitute.com with any questions you may have.
- Anyone who wants to learn to program
- Finance and Banking Industry
- Geospatial (GIS) Industry
- Resources Industry
- Healthcare Industry
- Education Industry
- Data Science Industry
Python is the best language to learn for beginners or those wanting to learn to code.Want to train in Machine Learning?
Python is powerful enough to do almost any task and is highly in demand. Python is easy to learn as the language sounds logical and contains mostly simple statements in English. Most of the specialised software your company is currently using will be made more effective using Python.
Python is open source and has a large community of people who are keen to help you. It has incredible libraries of pre-written code, so in many cases all you need to do is plug in the task you want to achieve.
In this course you to learn Python programming fundamentals – with a focus on data science. We’ll cover the basics through to more advanced topics, algorithms, and object oriented programming principles. All in preparation for your data driven, or machine learning future.
Python has become one of the best tools for Machine Learning. So why not learn both?Machine Learning Course
- No prior coding knowledge required.
- A laptop with Windows or Mac
In-person and Virtual Classroom - Sessions:
1 Session1 weekday: 10am – 4.30pm
OR
2 Sessions
2 weekday evenings: 5.30pm – 8.30pm
Contact us for custom group training.
1300 663 228| A STEP-BY-STEP GUIDE THROUGH: |
| Language Basics |
| Pseudo code |
| Data types |
| Program Logic |
| Functions and Loops |
| File Operations |
| Dictionaries and Modules |
| Lists and Strings |
| Files and packages |
| Machine Learning Applications |