
For beginners: No prior experience required
Data Analytics UK
+ Python specialisation
Applications open until 10th February
Price: Free
Commitment: 16 weeks | 15-25 hours/week
100% online plus in-person events
11 modules: weekly live support sessions
Certificate upon completion
Availability: London, Edinburgh and Glasgow only
Unemployed? Underemployed?* Or looking for an alternative to university?
Take your next career step into data analytics with confidence.
Learn how to work with data through hands-on projects and guided learning. You’ll build skills in data analytics and Python with expert support and chances to connect with employers along the way.
By the end, you’ll have a portfolio of work and experience with job fairs, employer visits and practice interviews to help you take your next step into entry-level roles.
*Underemployed: not working in a role that utilises one’s skills and certifications and/or earning a salary below the national minimum wage.
What will you learn?
In-demand skills in Python programming
Data Science Foundations
Learn what data analytics is and how people use data at work.
Explore entry-level roles and understand how data helps organisations make everyday decisions.
Get started with Python
Deep dive into how Python is used to work with data.
Build a foundation in Python by writing simple code to organise, explore and work with data.
Translate Data into Insights
Discover how to turn raw data into clear, useful insights.
Work with real datasets on Python and Tableau to clean, explore and visualise data, helping you communicate what the numbers actually mean.

Plus everything in our Data Analytics Certificate
Explore the basics of data analytics and the key skills required of entry-level data analysts.
Learn how to think like an data analyst through effective questioning and problem solving techniques.
Discover how to use spreadsheets and databases to extract, organise, examine and protect data.
Explore techniques and tools like SQL to clean, transform, verify and report on your results.
Deep dive into the processes to organize and make sense of data in different ways.
Learn how platforms and visual dashboards like Tableau can help bring your data to life.
Learn how to use the R programming language to drive informed decision making.
Build your portfolio by applying the knowledge and skills you've learned to a case study.
Soft skills:

Communication
Gain confidence exchanging knowledge and experiences with other participants.

Time Management
Plan your own learning effectively to achieve your professional goals.

Problem Solving
Develop a solutions-focused, tech-mindset to overcome challenges.

Critical Thinking
Learn to analyze situations and data to devise solutions and make informed decisions.
What will you be able to do?
The program is designed to support you prepare for work as a Junior Data Analyst, Associate Data Analyst, Data Analyst, Junior Data Scientist, Data Science Analyst, Business Performance Analyst, Operations Analyst, Marketing Analyst, Finance Analyst, Data Technician and more.

How to apply
1
Application Form
Let us know a little about you and what you hope to achieve as a part of the course.
2
Program Eligibility
We will check your eligibility to make sure you can get the most out of it. After your eligibility is confirmed, we will invite you to begin your learning adventure.
3
Enrollment
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