Master AI-powered analytics to deliver instant predictive insights and scale your market value.
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The Data Analytics Bootcamp is a fast-track investment in your career, engineered with one clear goal: to transform you into the data analyst every modern organization is looking for. We arm you with high-demand mastery in Python, SQL, and advanced BI tools, combined with the business acumen required by top hiring networks.
Learn directly from active industry executives, the BI experts and data leaders who drive corporate strategy. You build interactive dashboards in Power BI and Tableau, and specialize in data exploration, trend forecasting, and advanced SQL querying.
Most importantly, you translate raw metrics into a clear, data-driven narrative that enables executives to make critical, high-stakes business decisions.
The Bootcamp was everything I could ask for!
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Maro Kairasidi
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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.
Developed exclusively by Big Blue Data Academy, Sophie is an AI code agent integrated directly into your entire learning journey.
Companies Trusting Us
Projects
Successful Graduates
Teaching Hours
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. Understand the business thinking behind any concept.
Get the curriculumGet access to pre-work materials
Access to pre-work material to get you started. It must be completed before the first day of class and, then, join our Discord classroom!
Tools that will be used:
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Python
Learn Advanced Python for Data Science and Business Analytics.
Become proficient with GitLab and GitHub to organize code and work in teams.
Automate the tasks and navigate and manipulate file systems.
Tools that will be used:
Exploratory Data Analysis
Master advanced techniques in Pandas to handle messy datasets, write code in Jupyter notebooks, and make EDA to uncover hidden patterns and insights.
Create interactive dashboards with Matplotlib, Seaborn, Plotly & Dash, Streamlit and Power BI, and communicate your results with business-like presentations.
Tools that will be used:
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Make advanced queries to handle databases, using SQL. Communicate with APIs and do web scraping to get data for your projects.
Practice on Power BI, Plotly & Dash and MongoDB. Work efficiently with ChatGPT and handle big data.
Tools that will be used:
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Data Analytics Final Project
Work within a team on your final project, applying everything you have learned in practice on a real-world use case. The program finishes with the final exam and the presentations of the final projects, where you receive your certification.
14 weeks
280 hours
Basic knowledge
in Python
Workshops on creating a standout CV and LinkedIn profile.
Mock technical interviews and support throughout the hiring process.
Link with industry professionals and companies to expand your network.
Tuition fees are payable in up to 3 installments. For more details about payment have a look at our FAQ.
Special discounts for companies and group of individuals (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 can prepare yourself by watching the Introduction to Python for Data Science course on YouTube.
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.
Work on a real-world data analytics project, present it to an audience and meet prospective employers. Build a job-ready portfolio to show to recruiters.
What is Data Analytics and why is it important?
Data Analytics is the process of analyzing (collecting, transforming and organizing) raw data, to make valuable conclusions from that information, which can prove to be vital for professionals and companies. It's important because it leads to more optimized decisions and even makes predictions and spot trends.
Where can a Data Analyst work?
A data analyst can work in a variety of industries, including technology, finance, healthcare, retail, marketing, sports, HR, and consulting. They use their skills to analyze data, identify trends, and make informed recommendations to help businesses make better decisions.
What are the 4 types of Data Analytics?
The 4 main types of Data Analytics can be classified as the following and answer the relevant questions:
What's the difference between a Data Scientist and a Data Analyst?
A Data Analyst searches for patterns and hidden business opportunities in an organization's data, while a Data Scientist finds ways to generate business value from it by creating personalized services using Artificial Intelligence and Machine Learning.
What is the difference between our Data Analytics and Data Science Bootcamp?
Our Data Science Bootcamp provides you with 500 hours of all the vital knowledge 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.
Lauch your career as a Data Analyst
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