Data Analytics with Python: introduction
Choose a starting date
Learning modes and locations may be different depending on the course start date. Please check the location of your chosen course and read our guide to learning modes and locations to help you choose the right course for you.
- Start Date: 03 Jun 2025End Date: 24 Jun 2025Tue (Evening): 18:00 - 21:00Choose either online or in-personLocation: Hybrid (choose either online or in-person)Duration: 4 sessions (over -4 weeks)Course Code: CADS06Tutors: Muhammad KhanFull fee £249.00 Senior fee £199.00 Concession £162.00
- Start Date: 27 Sep 2025End Date: 18 Oct 2025Sat (Daytime): 10:00 - 13:00Choose either online or in-personLocation: Hybrid (choose either online or in-person)Duration: 4 sessions (over -4 weeks)Course Code: CADS02Tutors: Muhammad KhanFull fee £259.00 Senior fee £207.00 Concession £168.00
Please note: We offer a wide variety of financial support to make courses affordable. Just visit our online Help Centre for more information on a range of topics including fees, online learning and FAQs.
What is the course about?
This course is designed to provide professionals with essential skills in data analysis using Python, a powerful and versatile programming language widely used in the industry. You will learn how to efficiently clean, manipulate, and analyze large datasets, replacing time-consuming manual processes with automated workflows. Python’s robust libraries, such as pandas and numpy, are ideal for handling complex data, enabling faster and more accurate analysis. By the end of this course, you will be equipped to turn raw data into actionable insights, making more informed decisions with ease.
Participants who will attend the full course will receive a City Lit certificate of attendance electronically for their CV or CPD records. The certificate will show your name, course title and dates of the course you have attended.
What will we cover?
• Introduction to Python for data analytics
• Overview of key Python libraries: pandas, numpy, and matplotlib
• Techniques for cleaning and organizing data for analysis
• Automating repetitive tasks to improve efficiency
• Visualizing data through charts and graphs to present key insights
• Best practices for creating efficient data analysis workflows.
What will I achieve?
By the end of this course you should be able to...
• Use Python to automate data analysis and reporting tasks
• Efficiently clean and organize large, complex datasets
• Perform data transformations and calculations with Python's analytical tools
• Create professional visualizations to present data insights
• Implement streamlined workflows for faster, more efficient data analysis.
What level is the course and do I need any particular skills?
This course is ideal for working professionals and anyone with basic Python skills eager to enhance their data analysis capabilities. You should be comfortable with:
• Writing and running simple Python scripts
• Basic digital data structures like lists, dictionaries, and arrays
• (Core fundamentals and basic Python for data analysis will be covered during the session but some knowledge is desirable).
How will I be taught, and will there be any work outside the class?
The course focuses on practical, real-world applications through interactive exercises and hands-on coding. Optional exercises may be provided to reinforce your learning after class.
Are there any other costs? Is there anything I need to bring?
No other costs.
When I've finished, what course can I do next?
Please click here to view our Programming and Maths courses
Disclaimer: Use of Third-Party Software
This course might require you to either use your own personal account or create an account for the purposes of this course. City Lit cannot accept any responsibility for any failings of the third party or provide technical support. Whilst using the software you will be responsible for abiding by the providers terms and conditions and maintaining your own work.
Muhammad is a passionate and experienced tutor currently studying for his PhD in Artificial Intelligence. With a strong background as a former Software Engineer and programming tutor, Muhammad combines his deep academic knowledge with practical industry experience to deliver exceptional educational experiences. Notably, he is the first to create a UAV navigation algorithm using Dispersive Flies Optimization (DFO), which outperformed conventional benchmarks typically employed by major corporations. Dedicated to making advanced technology concepts accessible for all, Muhammad is the creator of the 2-step method to mastering any technological skill from conception to completion, where each lesson is related to individually tailored experiences whilst still adhering to a consistent group-based approach. His goal is to democratize AI and technology, ensuring that these powerful tools are available to and usable by every segment of society through digital literacy and empowerment.
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.