Learn how to clean, analyse, and interpret data using Python — the go-to tool for efficient, professional data work. Ideal for beginners ready to automate tasks and make smarter decisions with data.
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:01 Mar 2026
End Date:22 Mar 2026
Sun (Daytime):10:15 - 13:15
Choose either online or in-person
Location: Hybrid (choose either online or in-person)
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.
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?
City Lit offers a variety of progression courses in this subject area. Please click here to view our 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.
We’re sorry. We don’t have a bio ready for the tutor of this class at the moment, but we’re working on it! Watch this space.
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.
product
https://www.citylit.ac.uk/data-analytics-with-python-introduction174738Data Analytics with Python: introductionhttps://www.citylit.ac.uk/media/catalog/product/d/a/data-analytics-with-python-introduction-cads02-1024.jpg259259GBPInStock/Courses/Courses/Business, marketing & technology/Courses/vm/Skills for Work - Online Employability Courses/Courses/vm/Courses to boost your CV/Courses/vm/Web design & programming offer/Courses/Business, marketing & technology/Web design and programming/Python/Courses/Short Courses/Courses/Short Courses/Technology, science & business/Courses/Business, marketing & technology/Data analytics and statistics/Courses/Business, marketing & technology/Data analytics and statistics/Python for data analytics/Courses/vm/Summer offers22851211179119132012133971341113420168116841361412285165312111687134111681Data analysis involves examining, cleaning, and interpreting data to make informed decisions. Python offers the best toolkit for professionals, providing ease and efficiency. Data Analytics with Python: introduction course teaches you to automate tasks, analyze data, and make smarter decisions. This course is concerned with the role of Python in the Data Analysis process. We will explore how to import data sets and use Python libraries for analysis and visualisation. Using the tools provided by the Anaconda package manager we will use more advanced development environments designed specifically for Data Science. <br />
<br />
This is a live online course. You will need:<br />
- Internet connection. The classes work best with Chrome.<br />
- A computer with microphone and camera.<br />
- Earphones/headphones/speakers.<br />
We will contact you with joining instructions before your course starts.44.52621985Data Analytics with Python: introduction259259https://www.citylit.ac.uk/media/catalog/product/d/a/data-analytics-with-python-introduction-cads02-1024_31.jpgInStockDaytimeSunHybrid (choose either online or in-person)Available courses1 to 4 weeksWeekend2026-03-01T00:00:00+00:00Some experienceMar 2026Business, marketing & technologyCADS05259259Data Analytics with Python: introduction207168259Kathryn Coldhamdata-analytics-with-python-introduction/cads05-2526<p>Learn how to clean, analyse, and interpret data using Python — the go-to tool for efficient, professional data work. Ideal for beginners ready to automate tasks and make smarter decisions with data.</p>0000-Available|2026-03-01 00:00:00This 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.<br/><br/>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.<p>Learn how to clean, analyse, and interpret data using Python — the go-to tool for efficient, professional data work. Ideal for beginners ready to automate tasks and make smarter decisions with data.</p>• Introduction to Python for data analytics<br/>• Overview of key Python libraries: pandas, numpy, and matplotlib<br/>• Techniques for cleaning and organizing data for analysis<br/>• Automating repetitive tasks to improve efficiency<br/>• Visualizing data through charts and graphs to present key insights<br/>• Best practices for creating efficient data analysis workflows.• Use Python to automate data analysis and reporting tasks<br/>• Efficiently clean and organize large, complex datasets<br/>• Perform data transformations and calculations with Python's analytical tools<br/>• Create professional visualizations to present data insights<br/>• Implement streamlined workflows for faster, more efficient data analysis.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:<br/>• Writing and running simple Python scripts<br/>• Basic digital data structures like lists, dictionaries, and arrays<br/>• (Core fundamentals and basic Python for data analysis will be covered during the session but some knowledge is desirable).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.No other costs.<p>City Lit offers a variety of progression courses in this subject area. Please click <a href="https://www.citylit.ac.uk/media/wysiwyg/pdf/Web_Programming_Courses.pdf"><u>here</u></a> to view our courses.</p><p>Disclaimer: Use of Third-Party Software<br/>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.</p>Data analytics and statisticsPython for data analyticsvirtual2950706Data Analytics with Python: introduction259259https://www.citylit.ac.uk/media/catalog/product/d/a/data-analytics-with-python-introduction-cads02-1024_32.jpgInStockEveningTueHybrid (choose either online or in-person)Available courses1 to 4 weeksWeekday2026-05-19T00:00:00+00:00Some experienceMay 2026Business, marketing & technologyCADS06259259Data Analytics with Python: introduction207168259Kathryn Coldhamdata-analytics-with-python-introduction/cads06-2526<p>Learn how to clean, analyse, and interpret data using Python — the go-to tool for efficient, professional data work. Ideal for beginners ready to automate tasks and make smarter decisions with data.</p>0000-Available|2026-05-19 00:00:00This 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.<br/><br/>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.<p>Learn how to clean, analyse, and interpret data using Python — the go-to tool for efficient, professional data work. Ideal for beginners ready to automate tasks and make smarter decisions with data.</p>• Introduction to Python for data analytics<br/>• Overview of key Python libraries: pandas, numpy, and matplotlib<br/>• Techniques for cleaning and organizing data for analysis<br/>• Automating repetitive tasks to improve efficiency<br/>• Visualizing data through charts and graphs to present key insights<br/>• Best practices for creating efficient data analysis workflows.• Use Python to automate data analysis and reporting tasks<br/>• Efficiently clean and organize large, complex datasets<br/>• Perform data transformations and calculations with Python's analytical tools<br/>• Create professional visualizations to present data insights<br/>• Implement streamlined workflows for faster, more efficient data analysis.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:<br/>• Writing and running simple Python scripts<br/>• Basic digital data structures like lists, dictionaries, and arrays<br/>• (Core fundamentals and basic Python for data analysis will be covered during the session but some knowledge is desirable).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.No other costs.<p>City Lit offers a variety of progression courses in this subject area. Please click <a href="https://www.citylit.ac.uk/media/wysiwyg/pdf/Web_Programming_Courses.pdf"><u>here</u></a> to view our courses.</p><p>Disclaimer: Use of Third-Party Software<br/>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.</p>Data analytics and statisticsPython for data analyticsvirtual207259168CADS05,CADS06NONESun,Tue01/03/26 - 22/03/2610:15 - 13:1510:1513:154 sessions (over 4 weeks)41 to 4 weeksWeekend,WeekdayHybridHybrid (choose either online or in-person)Kathryn ColdhamSome experienceAvailable courses2026-03-01T00:00:00+00:00,2026-05-19T00:00:00+00:00Daytime,EveningMar 2026,May 2026Business, marketing & technology259259Data Analytics with Python: introductiondata-analytics-with-python-introduction/cads05-2526,data-analytics-with-python-introduction/cads06-2526<p>Learn how to clean, analyse, and interpret data using Python — the go-to tool for efficient, professional data work. Ideal for beginners ready to automate tasks and make smarter decisions with data.</p>0000-Available|2026-03-01 00:00:00This 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.<br/><br/>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.<p>Learn how to clean, analyse, and interpret data using Python — the go-to tool for efficient, professional data work. Ideal for beginners ready to automate tasks and make smarter decisions with data.</p>• Introduction to Python for data analytics<br/>• Overview of key Python libraries: pandas, numpy, and matplotlib<br/>• Techniques for cleaning and organizing data for analysis<br/>• Automating repetitive tasks to improve efficiency<br/>• Visualizing data through charts and graphs to present key insights<br/>• Best practices for creating efficient data analysis workflows.• Use Python to automate data analysis and reporting tasks<br/>• Efficiently clean and organize large, complex datasets<br/>• Perform data transformations and calculations with Python's analytical tools<br/>• Create professional visualizations to present data insights<br/>• Implement streamlined workflows for faster, more efficient data analysis.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:<br/>• Writing and running simple Python scripts<br/>• Basic digital data structures like lists, dictionaries, and arrays<br/>• (Core fundamentals and basic Python for data analysis will be covered during the session but some knowledge is desirable).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.No other costs.<p>City Lit offers a variety of progression courses in this subject area. Please click <a href="https://www.citylit.ac.uk/media/wysiwyg/pdf/Web_Programming_Courses.pdf"><u>here</u></a> to view our courses.</p><p>Disclaimer: Use of Third-Party Software<br/>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.</p>Data analytics and statisticsPython for data analyticsconfigurable
16841681Python for data analyticshttps://www.citylit.ac.uk/courses/technology-science-and-business/data-analytics-and-statistics/python-for-data-analytics1/2/285/1211/1681/16841/Courses/Business, marketing & technology/Data analytics and statistics/Python for data analytics
