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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 €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
Contact us for an exact quote and to hear our latest promotions
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
very friendly and helpful
Aktar Hossain - Unit4
Course - Building Microservices with Microsoft Azure Service Fabric (ASF)
The manual serverless setup. Also, I had no Idea sls web console exits, which is nice.
Rafal Kucharski - The Software House sp. z o.o.
Course - Serverless Framework for Developers
Trainer develops training based on participant's pace
