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Course Outline
Introduction to Python and Google Colab
- Setting up Google Colab
- Understanding the Python programming environment
- Writing and executing your first Python script
Variables and Data Types
- Introduction to variables
- Different data types in Python
- Operations on numbers and strings
Control Structures
- Conditional statements
- Loops: for and while
- Controlling program flow with decisions
Functions and Modules
- Defining and calling functions
- Scope and lifetime of variables
- Importing and using modules
Working with Collections
- Lists and tuples
- Dictionaries and sets
- Iterating through collections
Basic Libraries in Python
- Introduction to libraries like NumPy and Matplotlib
- Basic data manipulation with Pandas
- Simple data visualization
Final Project
- Applying learned concepts to a small project
- Best practices for writing and organizing Python code
- Debugging and troubleshooting
Summary and Next Steps
Requirements
- No prior programming experience required
- Basic understanding of computer operations
- Familiarity with web browsing and simple mathematical concepts
Audience
- Developers
- Data analysts
14 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
Please see our public courses
Testimonials (5)
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Course - Data Analysis in Python using Pandas and Numpy
I mostly enjoyed everything.
