Introduction to Python

Course Dates: 15/04/21 - 06/05/21
Time: 18:00 - 21:15
Location: Online
Want to learn more about how computers work or what computer programmers do? Get started in computer programming using the most popular and easy-to-use computer programming language Python.
This course is FREE if a) you live in London and your job is at risk of redundancy or b) you are either on Jobseekers' Allowance (JSA) or Employment & Support Allowance(ESA) or c) you receive other state benefits (including Universal Credit) and your monthly take home pay is less than £343. For more information click here
This course will be delivered online. See the ‘What is the course about?’ section in course details for more information.
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Full fee £199.00 Senior fee £159.00 Concession £100.00

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What is the course about?

This course is aimed at anyone who wants to learn a simple but powerful modern programming language. The course leads students from the basics of writing and running Python scripts to more advanced features such as file operations, working with data, and using Python modules.

This is a live online course. You will need:
- Internet connection. The classes work best with Chrome.
- A computer with microphone and camera.
- Earphones/headphones/speakers.
We will contact you with joining instructions before your course starts.

What will we cover?

• An overview of Python
• What is Python?
• Compiled and Interpreted programming languages
• Downloading and installing Python
• Using the Python documentation
• The structure of a Python script
• Running Python scripts
• Using variables
• Managing text with String operators
• Managing numbers with Math operators
• Writing to the screen
• Reading from the keyboard
• The if and elif statements 'while' and 'for loops'
• Using lists
• List operations and methods
• Dealing with syntax errors
• Program Exceptions.

What will I achieve?
By the end of this course you should be able to...

• Write Python scripts
• Use flow control structures
• Use Python to read and write files and handle external data
• Make their code robust by handling errors and exceptions properly
• Work with the Python code libraries.

What level is the course and do I need any particular skills?

No prior knowledge of Python or programming is required, but you should have good general computing skills. You should be able to follow spoken instructions, read written instructions and information, and discuss work with your tutor in English. If you are new to programming and would like to do some preparation for this course you may wish to try the following : Using the scratch tool use the graphical editor to draw a square

How will I be taught, and will there be any work outside the class?

No external work required.

Are there any other costs? Is there anything I need to bring?

There are no additional costs.

When I've finished, what course can I do next?

Intermediate Python, Data analytics with Python: introduction, Algorithms in Python, Introduction to machine learning, Introduction to R programming or any other programming language such as Java, C#, C++, JavaScript.

Amit Dodhia

Amit is an entrepreneur currently working on an immersive content technology concept within the Launchpad incubator at Falmouth university. He completed a Masters in Advanced Computing with a specialisation in Data Analytics from Birbeck College, University of London where his final thesis investigated the use of NLP and machine learning on tweets to predict the price of Bitcoin. Amit also holds a Masters in Electronic and Information Engineering from Imperial College London. Prior to joining Launchpad, he has worked as a Data Analyst, Business Analyst and Project Manager at various startups, in the social sector, and within fintech and eCommerce spaces. Earlier in his career, he taught English in Brazil to students of all ages and spent a number of years working in East Africa as a Business Developer within manufacturing, trading and online retail spaces. His experience includes programming (Python, R, and C#), databases (relational databases and graph), an in-depth understanding of using various machine learning and predictive modeling techniques, and the use of data visualisation tools such as Looker and Tableau.

Please note: We reserve the right to change our tutors from those advertised. This happens rarely, but if it does, we are unable to refund fees due to this. Our tutors may have different teaching styles; however we guarantee a consistent quality of teaching in all our courses.