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HD Data Science Bootcamp

Online part-time and full-time bootcamp. Learn the skills you need to launch your Data Science career.


HyperionDev

Summary

Price
£8,490 inc VAT
Finance options

Finance options available

Funding options

If you are a current student, alumni or staff member from The University of Manchester you will be...

Study method
Online
Course format What's this?
Reading material - PDF/e-book, slides, article/plain text
Duration
480 hours · Self-paced
Access to content
6 months
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
Additional info
  • Tutor is available to students

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Overview

Data is only as valuable as the person interpreting it. With our Data Science Bootcamp you learn how to use the right software and techniques to read visual and statistical data and present it in a way that solves real-world problems. Acquire Python programming language skills, learn the fundamentals of machine learning, and start using data science libraries such as scikit-learn, NumPy, Matplotlib and pandas. As data becomes the world’s most valuable resource, the demand for data scientists is off the charts and projected to grow further. Develop proficiency with the tools, techniques and knowledge required to think like a data scientist and switch to this highly valued, sought-after career.

Resources

Description

This comprehensive bootcamp teaches you Python, the essentials of probability and statistics for data analytics and visualisation, data science libraries such as NumPy, pandas, scikit-learn, and fundamental concepts of machine learning. Build your data science skills to launch an in-demand, valuable career in 3 to 6 months.

You’ll learn how to write code that can interact with databases and extract data to solve real-world problems. The advanced-level curriculum includes applying key machine learning and artificial intelligence concepts to practical challenges.

Throughout the bootcamp, you will be guided to develop the skills required to think beyond mere coding or plain analytics. You’ll also learn to communicate insights about your data to technical and non-technical stakeholders through visualisation. Your understanding of the popular applications of machine learning and artificial intelligence will guide you throughout your own projects as you mature as a data scientist.

Some outcomes of the bootcamp include:

  • Demonstrate familiarity with Python syntax and libraries that are foundational to data science.
  • Clean large amounts and varieties of data and transform them into more usable formats.
  • Develop an understanding of key statistical methods in order to read, analyse, and summarise data.
  • Look for relationships and patterns in data and spot trends in complex datasets.
  • Present and communicate insights about your data through visual storytelling and reports to power strategic decision-making.
  • Create supervised and unsupervised machine learning models to identify relationships in the data and make predictions.
  • Leverage natural language processing (NLP) to extract insights such as customer sentiment.
  • Learn to solve industry-specific problems using data-driven techniques and domain knowledge.
  • Perform version control using tools like Git to manage projects collaboratively, and ensure code quality and maintainability.
  • Create and populate a technical portfolio to showcase your skills to potential employers.
  • Get ready to apply for tech roles with the support of our careers team that guides and prepares you for your tech career.

Who is this course for?

This bootcamp welcomes individuals of all coding backgrounds, with a special focus on beginners. Whether you are exploring career opportunities in coding, aiming for a career change, or seeking to advance in your current profession, this bootcamp is inclusive and caters to all. No prior knowledge of coding is required when taking this bootcamp, as we help you progress from beginner to advanced, becoming job-ready in only six months. Right from the start of the bootcamp, you’re taught how to think like a programmer by developing systematic algorithms to solve various problems.

Requirements

There are no definitive requirements, making our coding bootcamp accessible to all. Whether you choose a part-time commitment of 10-20 hours per week or a full-time dedication of 40 hours per week, flexibility is paramount. Participants of all ages are welcome, provided they have access to a computer and the Internet. Immerse yourself in industry-aligned bootcamp content, recognising that a reasonable time commitment is essential for success in this transformative journey towards a new career.

Career path

Completing our Data Science Bootcamp opens up various career paths, including Data Architect, Machine Learning Engineer, Applications Architect, Business Intelligence (BI) Developer, Data Engineer and Business Analyst. According to Reed.co.uk, data scientists in the UK can earn between £62,000 and £82,000, making a Data Science Bootcamp a rewarding investment in your future.

Certificates

Certificate of completion

Digital certificate - Included

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FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.