2 day course 
Supporting material 
Classroom, Virtual, Private Book 2, Get 1 Free
Book two scheduled training sessions to be taken in 2024, and get a third one completely free! Simply add three courses to your basket, and the discount will be applied at check-out.
Python is one of the most searched topics on Stack Overflow. Due to its flexibility and the range of applications that it can be used for, it's fast becoming the most sought-after language in any developer’s portfolio.
This course will start from the very beginning; installing Python 3, setting up your development environment and writing your first lines of code. By the end of the two days, you’ll have a solid understanding of Python and will have gained experience in working with data.
Through project-based learning you’ll have the chance to learn through practical experiences, as you’ll be working with all the general concepts of the python language as well as performing exercises in retrieving, processing and visualising data.
Our Python for Data Science course is available at our training centre in The Shard, London or via virtual classroom. We also offer private training at a location of your choice across the UK, globally or online.
Course overview
Who should attend:
If you want to take your first steps toward becoming a Python developer or want to get into the growing industry of Data Science, this course is ideal for you.
What you'll learn:
By the end of this course, you will be able to:
- Describe why we use programming in Python Syntax
- Enable Python libraries
- Collect data from various sources
- Clean and prepare data
- Visualise data
Course agenda
- Python History
- Users of Python
- Installing Python
- Installing IDE
- Numbers
- Sequences
- File
- Tuples
- Dictionaries
- “If” statement
- “If Else” statement
- “Switch” statement
- While Loop
- Do... While Loop
- For Loop
- For-each Loop
- Declarations
- Variable scope
- Passing values
- OO Programming
- Class declaration
- Methods and properties
- Why Python for Data Science?
- Popular packages
- Use cases
- Popular Libraries
- Panda
- Numpy
- SeaBorn
- Stats
- Matplotlib
- Scikit-learn
- Reading & Writing to different data sources
- Cleaning data
- Visualisation
- Data transformation
- Automation
- Connecting to an API
- Public BigQuery APIs
- Google Analytics API