Belgrave Valley
Belgrave Valley
What's included?
Over 2 months you will live together with other students and the Belgrave Valley team. You will develop the necessary skills to become a Data Analyst and secure a job in the field.
Unique skillset
Learn from industry professionals
200 hours of Data Mentoring and Career Support with a 1 to 1 teacher to student ratio. Access to Dataquest as a core tool.
Money-back Guarantee
A no risk decision
If you do not manage to secure a job 3 months after you have finished the course we will give you back your money.
Career Development
One-on-one dedicated Career Coach
Tailored and completely dedicated career support throughout the duration of the course. We are committed on helping you secure a new job after you finish the programme.
Network
Learn through meetups
You will get access to the Belgrave Valley network. Attend events, connect with members of the industry and meet potential employers.
Community
Enjoy living in London
Join any of our weekly activities: gym routine, yoga classes, coaching sessions, social events... it is more than just a Data Bootcamp.
Curriculum
What will you learn during the course?
Command line and Git
Learn how to navigate through your files and share work across your team
This is important as it will help you navigate faster around the computer. You'll have to use Git to share code with your peers. It will be one of the starting points of your daily work.
Coding with Python
Learn Python and it's main packages
This is one of the main programming languages a Data Analyst uses on a daily basis so it is important for you to learn the basics and its main functions & packages.
Working with Data Sources - SQL & APIs
Learn everything about databases and different data sources
The data you need to analyze in your job will usually be stored in your database. It is important to understand your database structure and being able to query the data you need in a smart way.
Probability and Statistics
Learn the basics of Probability and Statistics in Python
You will need to understand basic statistical concepts such as descriptive statistics and an introduction to Bayesian statistics to better understand your data and decide the best way to analyse it
Machine Learning
Learn the main machine learning algorithms
You will use machine learning techniques in many different projects. You can apply it to prevent fraud, to improve your marketing campaigns, or just to gain better insights about your users.
Presentation and Reporting
Learn the best reporting tools
You’ll have to present and report your analysis to different stakeholders. We’ll show you the best tools to impress your audience.
Meet your instructors
A friendly team to support you in your journey
Ignacio
Data Mentor
Francisco
Data Mentor
Pablo
Career Coach
