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Data Science Pathway

Developing skills and capability as a Data Scientist

Why choose the Data Scientist Pathway?

The industry

There’s never been a better time to develop your career in Data Science. The global data science professional sector is experiencing significant growth, driven by the increase in data generation and the widespread adoption of AI and machine learning.

Opportunities

The global job market for Data Scientists is thriving, with job opportunites spannig diverse sectors such as finance, healthcare, technology, as well as retail, e-commerce, marketing, and government.

Job insights

Here are some potential job roles you could pursue after completing this pathway:

Data Scientist

A data Scientist performs statistical analysis and employs machine learning to extract insights from data. Responsibilities evolve from conducting basic statistical analyses and data wrangling to applying advanced machine learning algorithms and deep learning methods.

Senior Data Scientist

A senior data scientist analyses complex data, develops advanced machine learning models, and uses their findings to drive strategic business decisions. They are responsible for managing projects, mentoring junior staff, and communicating insights to stakeholders in a clear and understandable way. 

Lead Data Scientist

A Lead Data Scientist defines the data science strategy, leads and mentors a team, and oversees complex projects from conception to delivery. They act as a technical leader, ensuring best practices, building relationships with stakeholders, and staying current with new AI and data science techniques to solve business problems and drive innovation. 

Chief Data Scientist

A Chief Data Scientist leads an organisation's data science initiatives, which includes developing the data strategy, managing and mentoring a team of data scientists, and using data to solve business problems and drive strategy. They act as a bridge between technical data science teams and business stakeholders, ensuring data projects align with organizational goals and communicating complex findings to executives. 

Accreditors

We make sure we provide our students with the most relevant, industry standard content, which is why this course is made up of material accredited by the following education leaders.

CompTIA

The leading global IT trade association, CompTIA, gives the industry a unified voice and real leadership in the IT community. As a non-profit organisation, CompTIA offers a unique range of training courses that validate your IT skills without restricting you to individual product suites.

AWS

Amazon Web Services is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.

Microsoft

Microsoft Azure, commonly referred to as Azure, is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers.

Exams

Upon completion of your pathway, you'll have gained these four industry recognised certifications.

CompTIA DataX

1 x 165 minute exam (included), 90 questions.

Microsoft Certified: Azure Data Scientist Associate DP-100

1 x 100 minute exam (included), 40-60 questions.

Microsoft Certified: Fabric Analytics Engineer Associate DP-600

1 x 100 minute exam (included), 40-60 questions.

AWS Certified AI Practitioner AIF-C01

1 x 90 minute exam, multiple choice questions.

Boost your employability with our career booster courses:

Your pathway also includes our communications skills and critical thinking course. While technical skills are important, communication and critical thinking skills are often the distinguishing factor that sets successful businesses and professionals apart. They enable individuals to effectively navigate the complexities of the business world, build strong relationships, and drive innovation and growth.

  • Communication essentials: This part of the course helps you build the skills to connect, influence, and lead with confidence. You'll cover topics such as AI-powered communication tools, intentional messaging, nonverbal techniques, technical communication strategies, and the power of effective writing to help you to convey ideas with clarity and impact in any professional setting.
    Critical thinking: Strengthen your ability to analyse, evaluate, and lead with clarity. This course covers challenging assumptions, investigating arguments, drawing sound conclusions, leveraging analogical thinking, overcoming cognitive biases, and applying critical thinking to leadership giving you the tools to make smarter decisions and guide teams with confidence.

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