7 reasons to study Data Analysis at CodeClan


1. Analysing data is an in-demand skill

The ability to understand, read and communicate data is one of the most sought-after skills across all industries. LinkedIn Learning has rated it as one of the top three skills companies in Scotland are looking for.  

Learning how to analyse data, explain what you have learned and why it’s important to a business is invaluable. Jeanne Harris, senior executive at Accenture Institute for High Performance, has stressed the significance of analytics professionals: “…data is useless without the skill to analyse it.”

2. Scotland is investing in data

The 2018 Edinburgh and South East Scotland City Region Deal, backed by Holyrood and Westminster, is investing £1.3bn over 10 years into tech – and £60m towards a Data Driven Innovation programme. This will ensure businesses and communities across the region are able to make the most of data opportunities – and shows the growing importance of data in economic growth, social change, and public services.

3. Data needs critical thinkers, not Maths graduates

Think studying data isn’t for you because you don’t even have a Higher in Maths? Think again! You don’t need to be a Maths whiz to get onto the Data Analysis course or have a career in data. If you are a critical thinker, who loves problem-solving and has a head for business – then studying data may be for you.

General numeracy, interest and a willingness to learn are much more important than a Maths degree in data analysis.

4. Data analysis opens the door to opportunities in all industries 

Whether your passion lies in fashion, agriculture or finance, data analysis can be your key into competitive industries. According to ScotlandIS, there are currently over 800 vacancies available in Scotland.

Data analysis is set to become much bigger as data becomes more and more valuable to businesses. According to the CEO of Fractal Analytics, in the next few years, “the size of the analytics market will evolve to at least one-thirds of the global IT market from the current one-tenth”.

 5. Data is exciting

Data analysis is so much more than flat sheet data – data analysts don’t work with boring excel flat sheets as it has limited options for plotting and analysis. At CodeClan, our instructors teach you how to go from an excel spreadsheet, organise and analyse using code, to making your own interactive dashboards. 

As part of the City Deal, Edinburgh has created five data-driven innovation hubs which house expertise and facilities to help 10 industrial sectors become more innovative through data: Bayes Centre, Edinburgh Futures Institute, Easter Bush Campus, the Usher Institute, and Robotarium.

This huge investment means that Edinburgh is set to become the data capital of Europe – which means it’s a great time to study data analysis and have fun in a new career in Scotland.

6. Studying Data Analysis will help you upskill or change your career 

Whether you want to move up the ladder or contribute more in projects, or move to a completely new industry, understanding data can help. 

Skilled data analysts are some of the most sought-after professionals in the world. As the demand is strong and the supply of people is limited, data analysts can command strong salaries and excellent perks.

Popular organisations like Software AG, Oracle Corporation, IBM, Microsoft, SAP, EMC, HP and Dell have invested more than $15bn in software firms specialising in Data Management Analytics, increasing the demand for Information Management specialists across multiple industry and domain-types.

 7. Studying Data Analysis at CodeClan is an investment

Studying at CodeClan is an investment in your career, your future, and in yourself. 

Joining the 70 day immersive programme can change your career and your life, and developing a skillset that will be in high demand for the future is the surest way to plan a successful future.   

We offer a full-time, immersive 70 day/14 week Data Analysis course. Want to learn more? You can find details about the Data Analysis course here.

Details of our next info session about data analysis are here


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