Hands-on training, led by industry experts. Build your portfolio with an industrial project and skyrocket your career.
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Our Data Science bootcamp is an intensive hands-on training on Data Science, with which you gain all the technical and soft skills and the network you need to launch your career in Data Science.
Experienced data professionals bring real-world insights to the classroom, and career advisors help you get hired as Data Scientist, Data Analyst, Machine Learning/AI Engineer, etc.
Master the art of extracting meaningful insights from data, applying Machine Learning to solve business challenges and communicating your results with appealing dashboards.
Who this Bootcamp is for
Undergraduates, graduates (Bachelor, Master or PhD) and professionals looking to upskill and work in the fast-growing world of Industry 4.0
Career changers eager to reskill and pivot in Data Science
People committed to a successful career path who challenge themselves with hard work
Designed and taught by Data Science industry experts
Project-based curriculum with real data and real-world use cases
Industrial project to learn how a data scientist plan, communicate and work in a team
Familiarity with important technical and soft skills
Structured GitHub profile and strong portfolio
Career coaching and Job assistance
Hiring Network
25% theory - 75% practice
During each day we spend max 25% of the time for theory (lecture, live coding, code reviews) in order to get you as fast as possible to the exercises, where the real learning and fun begins!
Real-world knowledge
Our instructors are professionals in the industry. With their real-world experience, they will help you learn practical and soft skills and build a strong foundation to begin your data science career.
Each module introduces new concepts, leading to the final project where you apply everything you've learned. This hands-on experience solidifies your new in-demand skills and demonstrates your ability to put them to use.
Get the curriculumFundamentals of Python
Start with the Pre-work at home to brush up your knowledge in Python, Maths and Statistics. These 40 hours of preparation will get you ready for the first day. It must be completed before the first day of class.
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Learn Advanced Python for Data Science and Business Analytics, make EDA using Python, Pandas and share your code using Git.
Create interactive dashboards with Plotly & Dash, Streamlit and Power BI, and communicate your results with business-like presentations.
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Learn SQL, make advanced queries and access data from databases.
Use APIs or web scraping to get data for your projects.
Work on Power BI, Plotly & Dash and MongoDB.
Learn all the Machine Learning algorithms used by the industry and use various optimization techniques to build your models. Get familiar with Artificial Intelligence.
Regression and Classification: Use algorithms like Random Forest, XGBoost for machine learning models optimization in action.
K-means clustering, Hierarchical clustering, Anomaly detection, Principal Component Analysis, Apriori algorithm, Singular value decomposition, t-sne, outlier detection.
Clustering and Labeling: Use K-Means, Hierarchical clustering, DS-SCAN to find common patterns, and Isolation Forest, Local Outlier Factor for outlier and anomaly detection.
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Access and manipulate large amounts of text data from NoSQL servers (MongoDB).
Neural Networks and Convolutional Neural Networks (Keras) for image classification, using deep learning neural networks.
Classic NLP for sentiment analysis, topic modeling, and recommender systems.
Learn to build Large Language Models (LLMs) to master Generative AI (Chatbots).
Use forecasting algorithms (ARIMA and Prophet) for pattern detection, inferential statistics and forecasting.
Final Project
Work on your final project solving a real Data Science challenge, in a direct collaboration with a company.
Get the opportunity to network with companies actively seeking Data Scientists during Career Day.
12 weeks, Mon - Fri
25 weeks, Mon - Sat
Companies Trusting Us
Industry Projects
Successful Graduates
Teaching Hours
After completing your training, you’ll be confident to apply for various data roles, depending on your prior experience and field.
Workshops on creating a standout CV and LinkedIn profile, mock technical interviews, and support throughout the hiring process.
We link you with industry professionals and companies, expanding your network and supporting your career goals.
Full-Time Bootcamp
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Part-Time Bootcamp
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Tuition
Tuition fees are payable in up to 4 installments. For more details about payment have a look at our FAQ.
Special discounts for companies (2+ participants), contact us.
Fill in and submit your application. Tell us about yourself and your motivation to enroll.
We reach out to schedule an interview with a member of our team. We'll discuss your technical background and career goals, and provide details about the course.
We will invite you to a second interview with one of our Data Scientists to assess your programming skills and critical thinking through a discussion.
You're ready to embark on your Data Science journey. You'll receive the Prep-Work exercises to work on before your first day of the Bootcamp.
What is Data Science and why is it important?
Data Science is the interdisciplinary field that combines statistical methods, machine learning, artificial intelligence, and technology to extract insights, knowledge and solutions from structured and unstructured data.
It's important because it enables organizations to make informed decisions, discover patterns, and gain insights by analyzing vast amounts of data, leading to improved efficiency, innovation, and competitive advantage across various industries. It also drives advancements in fields like healthcare, finance, and technology, by enabling predictive analytics, automation, and the development of intelligent systems.
Where can a Data Scientist work?
A data scientist can work in various fields, including healthcare, finance, retail, marketing, sports, and HR, applying their skills to roles such as Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, Quantitative Analyst, Data Engineer, or AI Specialist. These professionals use data to drive decisions, optimize processes, and create innovative solutions across diverse industries.
What's the difference between a Data Scientist and a Data Analyst?
A data scientist focuses on building predictive models and developing algorithms using advanced machine learning techniques, while a data analyst primarily focuses on interpreting and analyzing data to provide actionable insights through statistical methods and visualization.
What is the difference between our Data Science and Data Analytics Bootcamp?
Our Data Science Bootcamp provides you with 500 hours of all the vital knowledge and skills (Python, Analytics, Machine Learning, Deep Learning, Artificial Intelligence, NLP) to support your career in the Data Science field, while our Data Analytics Bootcamp provides you with 250 hours of in-depth hands-on training to kickstart your career in Data Analytics.
Kickstart your career as a Data Scientist
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