What is the course like?

The Data Science Online Bootcamp at Imperial College London via HyperionDev is a comprehensive, flexible program designed to equip students with practical and in-demand skills in data science. Students can choose between full-time (3 months) or part-time (6 months) options, with access to industry experts for code review and feedback.

You'll gain

• Practical Coding Skills: Develop proficiency in Python and essential data science libraries, enabling effective problem-solving and data manipulation.
• Machine Learning Knowledge: Gain an understanding of machine learning algorithms and their applications in various fields.
• Hands-On Experience: Work on capstone projects that simulate real-world data science problems, providing practical experience and enhancing your portfolio.
• Industry Insights: Receive feedback and guidance from industry experts, helping you to refine your skills and understand industry standards.
• Career Readiness: Prepare for roles such as data analyst, data scientist, and machine learning engineer, with a solid foundation in data science principles and techniques.

You'll learn

• Python Programming: Comprehensive coverage of Python, focusing on functions, object-oriented programming, and best coding practices.
• Data Analysis and Visualization: Techniques for data manipulation, exploratory data analysis, and creating insightful visualizations using libraries like Pandas, Matplotlib, and Seaborn.
• Machine Learning Fundamentals: Introduction to machine learning concepts, including supervised and unsupervised learning, model evaluation, and optimization.
• Statistical Analysis: Understanding of probability, statistics, and their applications in data science for making informed decisions based on data.
• Big Data Tools: Exposure to tools and technologies used for handling large datasets, such as SQL, Hadoop, and Spark.

Great for

• Career Switchers: Ideal for individuals looking to transition into data science from other fields, offering a solid foundation and practical skills.
• Professionals Upgrading Skills: Perfect for current professionals seeking to enhance their data science knowledge and stay competitive in their careers.
• Recent Graduates: Beneficial for recent graduates who wish to enter the data science field with a strong portfolio and practical experience.
• Entrepreneurs: Useful for entrepreneurs who want to leverage data science to make data-driven business decisions and innovations.

You'll need

• No Prior Coding Experience Required: The course is designed for beginners, so no previous coding knowledge is necessary.
• Commitment and Dedication: The bootcamp requires a significant time investment, with full-time students needing to commit around 40 hours per week, and part-time students around 10-20 hours per week.
• Basic Mathematical Understanding: A fundamental understanding of mathematics, particularly in areas like algebra and statistics, will be beneficial.
• Access to a Computer and Internet: Participants need a reliable computer and internet connection to access course materials, participate in online classes, and complete assignments.
• Willingness to Learn: An open mind and a strong desire to learn and apply new concepts in data science are crucial for success in the bootcamp.