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The Art and
Science of Data

Data science professionals are highly sought after, helping businesses make informed decisions. Get started today with an internationally recognised qualification in this enriching industry.

How to become a Data Scientist

Whether you’re an experienced data application professional with Python skills, or you’re just starting out in data science, there are numerous choices and starting points to consider. Through this Skillsoft training, you can chart your professional path to becoming a data scientist, gaining practical experience through data analysis, machine learning, and data visualisation projects. With the specialized and right certifications under your belt, you will be able to provide the skills and knowledge employers demand.

What does a career look like in Coding?

  • Starting your career in coding

A career in data science is an exciting field for those interested in statistics, mathematics, and programming. Data scientists use their skills to extract insights and make data-driven decisions for organizations.

They analyze large data sets to uncover patterns, develop models, and interpret results to solve complex problems. As data continues to grow in volume and importance in the business world, demand for data scientists is rapidly increasing.

This career offers variety, as data scientists may work on analytics, machine learning, data mining, predictive modelling, and more. There is also room for huge career development, as experienced data scientists may take on leadership positions or move into more specialised roles. A career in data science promises continuous learning and significant influence within an organisation through leveraging data.

Is a career in Data Science right for me?

A data scientist will possess a combination of technical and analytical thinking with a predisposition towards mathematical and statistical concepts. Education, practical experience, and continuous learning can help individuals develop and enhance these skills over time. A strong willingness to learn is crucial with new techniques and technologies emerging frequently.

  • Key attributes of a Data Scientist include:
  1. Analytical and critical thinking
  2. Persistence
  3. Problem solving
  4. Teamwork
  5. Communication skills
  6. A meticulous eye for detail

Data Scientists responsibilities

In a coding role, you will be expected to design, create and maintain computer software, applications and websites. Depending on your speciality, you will work on the front-end or back-end of applications, using a variety of coding languages. Coding plays a vital role in the tech industry and can open up a multitude of career pathways.

  • Key attributes of a Coder include
  1. Analysing large datasets
  2. Data wrangling
  3. Data Science
  4. Reporting and extracting insights from data
  5. Data science strategy

How do I become a Data Scientist?

  • Qualifications needed to become a Data Scientist

Becoming a coder involves a combination of education, practical experience, and continuous learning. By determining your coding goals and choosing your programming language, you can select a course that aligns with your interests and aspirations.

This could involve learning specific frameworks, libraries, or technologies related to web development, data science, artificial intelligence, or mobile app development.  

Achieving one of our relevant industry-recognized certifications will demonstrate your understanding and dedication in your chosen field.

Average Salary after completing

£59k

You can earn an average of £59,170.00 a year

Low

£59k

High

£48k

Junior Data Scientist

Average Salary
you can earn

£70k

Senior Data Scientist

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As the UK’s leading online education provider for the Tech and Project Management sectors, we’re passionate about providing career-ready education and support that gives you the skills and experience you need to excel in your career.

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Once you enquire you’ll receive a helpful career guide. We’ll also arrange your call with an experienced Career Consultant to help you design your personal learning pathway.

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