Data Science Bootcamp

Learn the skills needed to launch a Data Science career.
Master the most popular programming language, Python, as well as scikit-learn, NumPy, Matplotlib, pandas & more
Learn the essentials of probability and statistics for data analysis & visualisation
Understand the fundamental concepts of machine learning

Partnerships with Industry Leaders

Become a developer with true career choice

As data becomes the world’s most valuable resource, the demand for data scientists is rising rapidly. This comprehensive data science bootcamp teaches you Python, the essentials of probability and statistics for data analysis and visualisation, data science libraries such as NumPy, pandas, scikit-learn, and the fundamental concepts of machine learning. After this online data science course, you’ll graduate with the practical skills you need to launch your in-demand, well-paid career as a data scientist in less than 6 months.

Data Architect

Ensure data solutions are built for performance and design analytics applications for multiple platforms. In addition to creating new database systems, data architects often find ways to improve the performance and functionality of existing systems, as well as working to provide access to database administrators and analysts.

Machine Learning Engineer

Machine learning engineers create data funnels and deliver software solutions. They typically need strong statistics and programming skills, as well as a knowledge of software engineering. In addition to designing and building machine learning systems, they are also responsible for running tests and experiments to monitor the performance and functionality of such systems.

Application Architect

An Applications Architect tracks the behaviour of applications used within a business and how they interact with each other and with users. They focus on designing the architecture of applications as well, including building components like user interface and infrastructure.

Business Intelligence (BI) Developer

BI developers design and develop strategies to assist business users in quickly finding the information they need to make better business decisions. Extremely data-savvy, they use BI tools or develop custom BI analytic applications to facilitate the end-users’ understanding of their systems.

Data Engineer

Perform batch processing or real-time processing on gathered and stored data. Data engineers are also responsible for building and maintaining data pipelines which create a robust and interconnected data ecosystem within an organisation, making information accessible for data scientists.

Business Analyst

A business analyst examines and analyses business processes. This professional finds efficiencies and takes on a leadership position when it comes to project teams. The business analyst provides necessary technical information for the business.