Start working as a Data Scientist
CodeOp’s Data Science bootcamp was designed to provide women+ with a background in STEM, Finance, Economics or Business Intelligence the skills they need to build a career in the analytics industry.
Full-time (11 weeks) | Part-time (30 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
PLAN DE ESTUDIOS
Our nine-module curriculum guarantees our graduates are industry-ready
MÓDULO 1:
Introduction to Programming
Learn the foundations of programming and how to code in Python
Activity: Write a simple application in Python
MÓDULO 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
MÓDULO 3:
Infrastructure and SQL
Learn how to use Bash, review SQL and relational databases
Activity: Create and query a relational database on Linux using Docker
MODULE 4:
(Exploratory) Data Analysis
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:
Data Visualization Presentation (Dashboards & Storytelling)
You will learn the best practices for designing dashboards, including how to choose the appropriate visualizations for your data. We will also cover the most commonly used tools and techniques.
MODULE 8:
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 9:
Career Preparation
Prepare for job interviews through logical puzzles, data challenges, and practice sessions. Receive career coaching & support.
PRECIO Y FINANCIACIÓN
A distancia (en vivo en línea)
€5900
+600€ de depósito
- 1.000 € de descuento al pagar por adelantado
- Income Shared Agreement: Pay after you find a job
- Break up the cost of tuition and pay over 3, 6 or 12 months
- Disponibles opciones de financiación a bajo interés
Barcelona
€7200
+600€ de depósito
- 1.000 € de descuento al pagar por adelantado
- Income Shared Agreement: Pay after you find a job
- Break up the cost of tuition and pay over 3, 6 or 12 months
- Disponibles opciones de financiación a bajo interés
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.
EL TRAYECTO DEL BOOTCAMP
Discover the data science student experience
Our Data Science bootcamp runs both full time and part time.
The full time course is 11 weeks long, Monday to Friday from 9:00am to 6:00pm. You can do this on campus or remote with live instructors.
The part time course is 7 months (30 weeks) long, and live, synchronous classes are held Monday and Thursday from 6:30pm to 9:30pm.
During Lecture & Activity Phase, students work on familiarizing concepts through hands-on examples with instructors. Then, instructors guide students through their personal and group projects. The last part focus on developing a career in Data Science.
Semana 1-5
Semana 6-10
Semana 11
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2
3
4
5
6
7
8
9
10
11
1
22
30
PROYECTOS
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.
EQUIPO DOCENTE
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.
Filipa
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Nicholas
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Priyanka
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Guillem
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Ana
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Pilar
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APOYO CON EL CURSO
Obtén apoyo total de principio a fin
Disfruta de una atención y apoyo inigualables con clases de solo 15 estudiantes. Una proporción de 1 docente por cada 5 estudiantes garantiza una atención personalizada, un aprendizaje más rápido y una mejor relación.
Tu equipo de apoyo
PROFESORADO SENIOR
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.
ASISTENTE DE PROFESORADO
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.
COACH DE CARRERA PROFESIONAL
El rol del coach profesional es entrenarte y prepararte para la vida después del bootcamp de la mejor manera posible. Desempeña un papel importante al ayudarte a identificar tus fortalezas, debilidades y habilidades transferibles de tu trayectoria profesional y guiarte sobre las opciones disponibles para tí después de graduarte.
ORIENTACIÓN PROFESIONAL
Nuestra dedicación a tusmetas profesionales no tiene rival
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.
APOYO INTEGRAL A TU CARRERA
Nuestra comunidad de estudiantes reciben orientación profesional y apoyo de capacitación durante la realización del bootcamp. Después, continuamos brindando consejo profesional continuo, así como acceso a nuestra red de contactos, con personas graduadas, empresas reclutadoras, oportunidades laborales y ferias de reclutamiento, mentorías, eventos y más.
CHARLAS DE LOS VIERNES
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.
SEMANA DE LAS CARRERAS PROFESIONALES
Una semana intensiva de talleres de coaching técnico y profesional, presentaciones y charlas. La semana culmina con una sesión #IamRemarkable, una iniciativa de Google que empodera a mujeres y grupos infra-representados para celebrar sus logros en el lugar de trabajo y más allá.
RED DE CONTRATACIÓN
Nuestro fuerte compromiso con la diversidad hace que las empresas reclutadoras acudan directamente a nuestra comunidad para encontrar personas altamente cualificadas. Tenemos una gran red asociativa de contratación para garantizarte que, además de estudiar, puedas adquirir experiencia real, conseguir mejores trabajos y avanzar aún más en tu carrera en el sector tecnológico.
FECHAS DEL PRÓXIMO CURSO
Únete a nuestros cursos presenciales o a distancia
Todos los cursos se imparten en el horario de Europa Central (CET).
PRECIO Y FINANCIACIÓN
A distancia (en vivo en línea)
€5900
+600€ de depósito
- 1.000 € de descuento al pagar por adelantado
- Income Shared Agreement: Pay after you find a job
- Break up the cost of tuition and pay over 3, 6 or 12 months
- Disponibles opciones de financiación a bajo interés
Barcelona
€7200
+600€ de depósito
- 1.000 € de descuento al pagar por adelantado
- Income Shared Agreement: Pay after you find a job
- Break up the cost of tuition and pay over 3, 6 or 12 months
- Disponibles opciones de financiación a bajo interés
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.
CRITERIOS DE ADMISIÓN
Puedes hacerlo, ponte con ello
Discover what it takes to apply. We’ve pretty sure you’ve got it.
LO QUE NECESITAS
- 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
- Un ordenador y una conexión a internet estable.
LO QUE NO NECESITAS
- 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
Únete a nuestro bootcamp
You can choose to learn with us remotely or at our campus in Barcelona.
