Start working as a Data Scientist
CodeOp’s part-time Data Science bootcamp was designed to provide women+ with a background in STEM, Finance, Economics and Business Intelligence the skills they need to build a career in the analytics industry.
Part-time (26 weeks)
Who we are looking for and how we help
- Researchers looking to transition into industry
- Business & financial professionals looking to upskill
- Obtain the job security and a salary you deserve
- Translate your career to the field of data science
- Polish your skillset with advanced analytics tools
- Get your portfolio industry-ready
- Tap into our +21k international network
- Learn with a supportive community of women+
Get practical experience with the most in-demand tools
Take your career to the next level by learning the latest in machine learning, data infrastructure and visualisation.
Boost your earning potential
Our hiring network is constantly looking to diversify their analytics team with CodeOp talent; 77% of CodeOp students see an increase to their salary after the bootcamp.
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Get qualified quickly
Our Data Science qualification means you’ll have the skills you need to start working as a Data Scientist, Data Analyst or Product Analyst after 6-months.
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The structure and guidance needed to excel
Our part-time, evening course was designed to support working students with the regiment and guidance needed to become industry-ready. Don’t believe us: pay us nothing until you get a job after the bootcamp in our Study Now, Pay Later plan.
Learn MoreYour route to build a complete data science skill set
Our Data Science course provides you with an industry-ready toolkit to build your data science career, while creating multiple portfolio pieces to showcase your new skill set.
- Learn the fundamental concepts of Statistics and Machine Learning Access and create datasets from Relational Databases using SQL
- Get hands-on training using libraries in Python: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, and more
- Collaborate on the development of projects using Git Learn to utilise cloud services
- Get exposed to processing alternative data formats including: time series, NLP (Natural Language Processing), and Geospatial data
Why this course is different
We put a lot of emphasis on learning the complete Data Science toolkit, which prepares you to become both a successful data analyst as well as an entry level data scientist. Here's how we offer our students that little bit more to give them the industry edge:
- We don't just cover the fundamental concepts, but also hands-on, real-life application cases
- We expose students to expert instructors from various backgrounds, both from the industry and academia
- Our students get the opportunity to finish personal data science projects guided by experts in the field
- We offer customized career support and preparation during and after the bootcamp
SCOPE & SEQUENCE
Our eight-module curriculum guarantees our graduates are industry-ready
MODULE 1:
Introduction to Programming
Learn the foundations of programming and how to code in Python
Activity: Write a simple application in Python
MODULE 2:
Programming for Data Science
Understand the data analytics pipeline, review the foundations of data science using probability, statistics & basic data analysis, and learn classic data analytics methods such as regression and classification
Activity: Create a predictive model with a given dataset
MODULE 3:
Infrastructure and SQL
Learn how to use Linux/Bash and Docker, review SQL and relational databases
Activity: Create and query a relational database on Linux using Docker
MODULE 4:
Statistics
Review basic statistics such as probability, central tendency measures and data visualisation.
Activity: Use statistical methods to analyse datasets using Jupyter notebooks.
MODULE 5:
Machine Learning
Learn the differences between supervised and unsupervised machine learning methods, and the different families of algorithms within each group (e.g.: regression, classification, clustering).
Activity: Create a predictive model for a given labelled dataset.
MODULE 6:
Advanced Data Science
Learn more advanced methods to process complex data types like text, geospatial data, time-series, and AB testing.
Activity: Use ADA methods to analyse complex datasets.
MODULE 7:
Project Phase
Apply the knowledge gathered in the previous modules to a real use-case, implementing an end-to-end analytics data project.
Project: Propose a problem and solve it using an ADA method. Cover all stages of the Data Analytics lifecycle in both an individual and a collaborative project.
MODULE 8:
Career Preparation
Prepare for job interviews through logical puzzles, data challenges, and practice sessions. Receive career coaching & support.
THE BOOTCAMP JOURNEY
Discover the data science student experience
Our Data Science bootcamp runs for 6 months (26 weeks) from 6:30pm to 9:30pm, Tuesday and Friday as well as 1-2 Saturdays a month.
In the first 18 weeks students work on familiarizing concepts through hands-on examples with instructors. Then, instructors guide students through their personal and group projects for the next six weeks. The last two weeks focus on developing a career in Data Science.
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PROJECTS
Showcase your new skill set with a top portfolio
You'll work on at least two projects during the bootcamp, one individual and one team-based. Your data science instructor will spend 6-weeks guiding you through your project-work. Throughout the project phase, you'll have feedback sessions (twice a week) to help you develop your project from start to finish.
INSTRUCTORS
Meet the team behind our industry leading course
Our instructors bring a ton of experience and energy to your technical education. They’ll act as your teacher, adviser, and guide throughout the course, providing personalized feedback to help you build confidence in developing your analytics mindset.
COURSE SUPPORT
Get total support from start to finish
Enjoy unrivalled attention and support with class sizes of only 15 students. A ratio of 1 instructor for every 5 students guarantees one-on-one attention, faster learning, and stronger relationships.
Your support team
SENIOR INSTRUCTOR
These are the real experts; they code for fun and come with 12+ years of industry experience. Their role is to direct you through the course content and teach you best practices so that you can grow in your knowledge, skills and confidence in the best, most efficient way possible.
TEACHING ASSISTANT
The bridge between the instructor and the students. In most cases they've been through the bootcamp themselves and so can relate to and empathise with the students' experience. Their role is to support you during activity time as well as with any additional technical support needed.
CAREER COACH
The role of the career coach is to prepare you for post-bootcamp life in the best way possible. They play an important role in helping you identify your strengths, weaknesses and transferable skills from your previous career and guiding you on the options available to you upon graduation.
CAREERS SUPPORT
Our dedication to yourcareer goals is second to none
We're committed to helping our students advance their careers in tech. Our support team works hard to make sure you get where you want to go in your data science career, and can hit the ground running once you're there.
360 CAREER SUPPORT
Students are supported with careers coaching and training over the duration of the bootcamp. After, we continue to provide ongoing career support, as well as access to our graduate network of recruiters, job opportunities and recruitment fairs, mentors, events and more.
FRIDAY TALKS
Through interactive workshops and lectures, students learn best practices and the latest tech from professionals in the industry. You'll have opportunities to learn about Agile methodologies, D3.js, Big Data, Open Source and privacy and ethics.
CAREERS WEEK
An intensive week of technical and career coaching workshops, presentations, and professional talks. The week culminates in a #IamRemarkable session—a Google initiative empowering women and underrepresented groups to celebrate their achievements in the workplace and beyond.
HIRING NETWORK
Because of our strong commitment to diversity, our community is one that recruiters and companies come to directly to find highly-trained candidates. We have a large hiring partner network to ensure our students can gain experience in the field, secure better jobs and further advance their tech careers.
NEXT COURSE DATES
All courses are taught in Central European Time (CET).
PRICE & FINANCING
Remote (Live online)
€5900
+€600 deposit
- 10% discount when paid upfront
- Income Shared Agreement: Pay after you find a job
- Break up the cost of tuition and pay over 3, 6 or 12 months
- Low-interest financing options available
Barcelona
€7200
+€600 deposit
- 10% discount when paid upfront
- Income Shared Agreement: Pay after you find a job
- Break up the cost of tuition and pay over 3, 6 or 12 months
- Low-interest financing options available
London
ÂŁ6200
+ÂŁ600 deposit
- 10% discount when paid upfront
- Break up the cost of tuition and pay over 3, 6 or 12 months
- Low-interest financing options available
- Income Shared Agreement: Pay after you find a job
We offer a range of options to minimize the cost of tuition for all students, including scholarship opportunities for anyone who's eligible. You can explore the flexible payment options available on our detailed student financing and scholarships page.
See financing and scholarship optionsADMISSIONS CRITERIA
You can do it, put your back into it
Discover what it takes to apply. We've pretty sure you've got it.
WHAT YOU NEED
- A statistical, technical, or Business Intelligence background
- A good understanding in at least one of these areas:
- Computer programming - Statistical analysis - Business intelligence
- An analytical edge: Curiosity to ask questions and seek answers through delving into small and large data sets. The data does not speak.
- B2 level of English
- Empathy: It’s not going to be an easy ride, in fact, it will be an emotional rollercoaster. Which is why we want to encourage you to take care of each other and most importantly take care of yourself.
- The motivation to upskill or transform your career
- A computer and a stable internet connection
WHAT YOU DON'T NEED
- Industry experience: We’ve supported many women+, from research and academia, to gain the practical experience and portfolios needed to transition into the tech industry
- Unlimited free time:Our courses are available both part-time and full-time so that you can find a learning pace that works best for you.
- A competitive/toxic attitude
LOCATION
You can join our data science courses remotely worldwide.
