Day: January 21, 2023

Introduction

Data science is increasingly becoming a vital skill for the workplace, but many don’t know where to begin. If you’re an arts student looking to add data science to your resume, then there’s even more confusion – arts students tend not to think of “data” as part of their curriculum.

But the truth is that data science isn’t rocket science! It’s actually quite accessible and recognisable to those with an arts background.

In this article, I’m going to demystify data science for the arts student and share what they need to know about getting started in this field. We’ll look at the tools, skills, and resources required before you launch your career in data science.

What Is Data Science?

Data science is a field of study that combines mathematics, computer science, and statistics to extract insights from large datasets. It involves the use of algorithms and machine learning techniques to identify patterns in data and make predictions about future events. Data scientists are responsible for collecting, cleaning, analyzing, and interpreting data to gain meaningful insights.

For arts students, data science can be seen as an extension of their existing knowledge base. Arts students are already familiar with the concept of analysis – they’re used to looking at texts or images and making interpretations based on what they see. Data science simply takes this same approach but applies it to numerical data instead. By understanding how data works and how it can be manipulated, arts students can become proficient in using data-driven methods to solve problems in their chosen field.

A Solid Understanding of Computer Basics

Before you can get started with data science, it’s important to have a solid understanding of computer basics. This includes knowing how to use a computer operating system, such as Windows or Mac OS, and being familiar with basic software applications like Microsoft Office. You should also be comfortable navigating the internet and using web browsers like Chrome or Firefox. Additionally, having some experience with coding languages such as HTML, CSS, JavaScript, or Python will be beneficial for your data science journey.

Arts students may feel intimidated by the idea of learning computer basics but it doesn’t have to be difficult. There are plenty of online tutorials and resources available that can help you get up to speed quickly. For example, Codecademy offers free courses on coding languages like HTML and JavaScript that are perfect for beginners. Additionally, there are many free online resources available that provide step-by-step instructions on how to use different software applications and navigate the internet. With a bit of practice and dedication, arts students can become proficient in these essential computer skills in no time!

Find the Right Resources for Learning About Data Science

Once you have a basic understanding of computer basics, it’s time to start learning about data science. There are many resources available that can help you get started in this field. For example, online courses such as Coursera and Udacity offer comprehensive programs on data science topics such as machine learning and big data. Additionally, there are plenty of free tutorials and resources available online that provide step-by-step instructions on how to use different software applications for data analysis.

For arts students who want to learn more about the theoretical aspects of data science, books like “Data Science for Dummies” or “Data Science from Scratch” are great starting points. These books provide an overview of the fundamentals of data science and explain key concepts in an easy-to-understand way. Additionally, there are many blogs and websites dedicated to data science that provide helpful tips and advice on how to get started in this field.

Finally, attending conferences or workshops related to data science is a great way to network with other professionals in the field and gain valuable insights into the industry. Many universities also offer courses on data science topics which can be beneficial for those looking for a more structured approach to

Learn the Foundations of Data Science

Data science is an accessible field for arts students looking to delve into the world of data. Art and humanities background can be an advantage, as understanding the social context behind technology is often cited as one of the most important skillset of a data scientist.

In order to get started with data science, a foundation in some core concepts is required. Descriptive statistics, probability and machine learning are some fundamental basis that will help you frame your questions and interpret the outcomes correctly when tackling data analysis problems.

Getting familiar with various software programs such as Excel or Python is essential, as these programs contain powerful tools and techniques to analyze large amounts of complex data sets. Becoming fluent in writing code with programming tools such as Python can allow you to automate tedious tasks and uncover patterns in messy datasets more easily.

Making your first steps into the world of data science may be daunting at first, but with patience and dedication, anyone can become an expert over time!

Develop Skills in Working with Data

Getting started as a data scientist requires an understanding of how to work with data. This includes being able to analyze, construct databases, and utilize programming languages. You need to understand computer coding basics and master software programs. This can include learning Python or R, two of the most popular programming languages used for data science.

Having a curiosity about artificial intelligence and how it is transforming our world is also important for those interested in data science. Gaining insight into how AI analyzes data is key to being successful in this rapidly growing area of technology.

For individuals wishing to get into the field of data science, developing skills like visualizing data representations will come in handy. Knowing when to utilize analytical charts and graphs vs. simple written summaries will help make your arguments more appealing to business customers/stakeholders who are looking for meaningful insights from the data available to them. Additionally, having knowledge of natural language processing and machine learning algorithms will be beneficial as well when understanding how AI “learns” from existing information available on datasets that are then utilized by businesses for strategic purposes.

Get Experienced with Tools and Technologies

As an arts student, starting out in data science involves learning the tools and technologies of the field. It’s important to understand the fundamentals of programming languages like Python and R, as well as become familiar with databases such as SQL, NoSQL, MongoDB and more.

At the same time you should also learn about popular libraries and frameworks designed for data analysis such as NumPy, pandas and Scikit-learn. You should practice with these to get a good understanding of their capabilities.

Finally, you’ll need to get a grip on big data technologies like Apache Hadoop or Spark for large scale analytics. There are many tutorials available that will teach you how to get started.

Once you have a basic mastery of these tools and technology it’s time to dive into real-world projects where you can apply them!

Explore Different Areas of Interest in Data Science

As an arts student looking to move into the field of data science, it is important to explore different areas that interest you. Popular areas within data science include machine learning, natural language processing (NLP), computer vision, and software engineering. Investigate each of these fields so that you can decide which one appeals to you the most.

For each area you investigate, look into some of the methods employed and explore the various tools used for working with data. Having a grasp on these elements will make it much easier for you to specialize in one specific area later on down the line as your studies progress.

In addition, try and get exposure to as much data science related material as possible. This could mean participating in online courses or workshops or even seeking employment or internships at tech companies – do whatever it takes to gain extra knowledge in this arena so that you can be confident when choosing which direction within data science best suits you going forward.

Conclusion

Getting started as a data scientist requires an understanding of how to work with data, including predictive analytics, programming skills, analysis skills and visualization tools. A solid foundation in these areas is essential for success in the field. To build this foundation, it is important to have a program curriculum that covers a wide range of topics such as Linear algebra and advanced knowledge of software programs. College credits may be available for some courses, which can give you a competitive advantage when entering the job market. Additionally, having an understanding of the average salary and career path associated with data science will help you make informed decisions about your future.

Introduction

Data science is increasingly becoming a vital skill for the workplace, but many don’t know where to begin. If you’re an arts student looking to add data science to your resume, then there’s even more confusion – arts students tend not to think of “data” as part of their curriculum.

But the truth is that data science isn’t rocket science! It’s actually quite accessible and recognisable to those with an arts background.

In this article, I’m going to demystify data science for the arts student and share what they need to know about getting started in this field. We’ll look at the tools, skills, and resources required before you launch your career in data science.

What Is Data Science?

Data science is a field of study that combines mathematics, computer science, and statistics to extract insights from large datasets. It involves the use of algorithms and machine learning techniques to identify patterns in data and make predictions about future events. Data scientists are responsible for collecting, cleaning, analyzing, and interpreting data to gain meaningful insights.

For arts students, data science can be seen as an extension of their existing knowledge base. Arts students are already familiar with the concept of analysis – they’re used to looking at texts or images and making interpretations based on what they see. Data science simply takes this same approach but applies it to numerical data instead. By understanding how data works and how it can be manipulated, arts students can become proficient in using data-driven methods to solve problems in their chosen field.

A Solid Understanding of Computer Basics

Before you can get started with data science, it’s important to have a solid understanding of computer basics. This includes knowing how to use a computer operating system, such as Windows or Mac OS, and being familiar with basic software applications like Microsoft Office. You should also be comfortable navigating the internet and using web browsers like Chrome or Firefox. Additionally, having some experience with coding languages such as HTML, CSS, JavaScript, or Python will be beneficial for your data science journey.

Arts students may feel intimidated by the idea of learning computer basics but it doesn’t have to be difficult. There are plenty of online tutorials and resources available that can help you get up to speed quickly. For example, Codecademy offers free courses on coding languages like HTML and JavaScript that are perfect for beginners. Additionally, there are many free online resources available that provide step-by-step instructions on how to use different software applications and navigate the internet. With a bit of practice and dedication, arts students can become proficient in these essential computer skills in no time!

Find the Right Resources for Learning About Data Science

Once you have a basic understanding of computer basics, it’s time to start learning about data science. There are many resources available that can help you get started in this field. For example, online courses such as Coursera and Udacity offer comprehensive programs on data science topics such as machine learning and big data. Additionally, there are plenty of free tutorials and resources available online that provide step-by-step instructions on how to use different software applications for data analysis.

For arts students who want to learn more about the theoretical aspects of data science, books like “Data Science for Dummies” or “Data Science from Scratch” are great starting points. These books provide an overview of the fundamentals of data science and explain key concepts in an easy-to-understand way. Additionally, there are many blogs and websites dedicated to data science that provide helpful tips and advice on how to get started in this field.

Finally, attending conferences or workshops related to data science is a great way to network with other professionals in the field and gain valuable insights into the industry. Many universities also offer courses on data science topics which can be beneficial for those looking for a more structured approach to

Learn the Foundations of Data Science

Data science is an accessible field for arts students looking to delve into the world of data. Art and humanities background can be an advantage, as understanding the social context behind technology is often cited as one of the most important skillset of a data scientist.

In order to get started with data science, a foundation in some core concepts is required. Descriptive statistics, probability and machine learning are some fundamental basis that will help you frame your questions and interpret the outcomes correctly when tackling data analysis problems.

Getting familiar with various software programs such as Excel or Python is essential, as these programs contain powerful tools and techniques to analyze large amounts of complex data sets. Becoming fluent in writing code with programming tools such as Python can allow you to automate tedious tasks and uncover patterns in messy datasets more easily.

Making your first steps into the world of data science may be daunting at first, but with patience and dedication, anyone can become an expert over time!

Develop Skills in Working with Data

Getting started as a data scientist requires an understanding of how to work with data. This includes being able to analyze, construct databases, and utilize programming languages. You need to understand computer coding basics and master software programs. This can include learning Python or R, two of the most popular programming languages used for data science.

Having a curiosity about artificial intelligence and how it is transforming our world is also important for those interested in data science. Gaining insight into how AI analyzes data is key to being successful in this rapidly growing area of technology.

For individuals wishing to get into the field of data science, developing skills like visualizing data representations will come in handy. Knowing when to utilize analytical charts and graphs vs. simple written summaries will help make your arguments more appealing to business customers/stakeholders who are looking for meaningful insights from the data available to them. Additionally, having knowledge of natural language processing and machine learning algorithms will be beneficial as well when understanding how AI “learns” from existing information available on datasets that are then utilized by businesses for strategic purposes.

Get Experienced with Tools and Technologies

As an arts student, starting out in data science involves learning the tools and technologies of the field. It’s important to understand the fundamentals of programming languages like Python and R, as well as become familiar with databases such as SQL, NoSQL, MongoDB and more.

At the same time you should also learn about popular libraries and frameworks designed for data analysis such as NumPy, pandas and Scikit-learn. You should practice with these to get a good understanding of their capabilities.

Finally, you’ll need to get a grip on big data technologies like Apache Hadoop or Spark for large scale analytics. There are many tutorials available that will teach you how to get started.

Once you have a basic mastery of these tools and technology it’s time to dive into real-world projects where you can apply them!

Explore Different Areas of Interest in Data Science

As an arts student looking to move into the field of data science, it is important to explore different areas that interest you. Popular areas within data science include machine learning, natural language processing (NLP), computer vision, and software engineering. Investigate each of these fields so that you can decide which one appeals to you the most.

For each area you investigate, look into some of the methods employed and explore the various tools used for working with data. Having a grasp on these elements will make it much easier for you to specialize in one specific area later on down the line as your studies progress.

In addition, try and get exposure to as much data science related material as possible. This could mean participating in online courses or workshops or even seeking employment or internships at tech companies – do whatever it takes to gain extra knowledge in this arena so that you can be confident when choosing which direction within data science best suits you going forward.

Conclusion

Getting started as a data scientist requires an understanding of how to work with data, including predictive analytics, programming skills, analysis skills and visualization tools. A solid foundation in these areas is essential for success in the field. To build this foundation, it is important to have a program curriculum that covers a wide range of topics such as Linear algebra and advanced knowledge of software programs. College credits may be available for some courses, which can give you a competitive advantage when entering the job market. Additionally, having an understanding of the average salary and career path associated with data science will help you make informed decisions about your future.

Making the switch from medicine to finance might sound like a daunting task, but it could be the opening that unlocks endless possibilities for personal and professional growth. It’s about having the courage to take your skill set in one direction and then applying it somewhere new. Reaching into a new area invites fresh perspectives, develops existing expertise and enriches your career development. Learning to break out of apparent limits opens up a wide variety of doors, letting you go down paths you never dreamed of before. And considering that finance is always evolving and changing, you have plenty of room to challenge yourself with innovative solutions.

Gain Knowledge About the Financial Industry

If you’re considering making a career switch from the medical field to finance, there are some important things to know. The financial industry is complex and ever-changing, and staying up-to-date with the latest information and trends can be overwhelming.

To get ahead, you should familiarize yourself with the basics of financial principles such as banking, savings, investments, insurance, accounting, budgeting, taxes and more. The more knowledge you gain in these areas – along with investing in financial education programs offered by institutions or organizations dedicated to advancing members’ financial literacy – the better prepared you will be for making prudent financial decisions.

With preparation and knowledge comes confidence – two powerful factors instrumental for making a successful transition from medicine to finance.

Understand Your Skill Set and Transferable Skills

Take inventory of which skills you possess that would be valuable to a finance firm or as an investor. This can include skills such as communication, problem-solving, project management, analytics and data-driven decision making.

It’s also important to look at the organizational, leadership and professional growth skills you have acquired through your presentation in the medical field. These will help build your case for why your experience is valuable in the business world of finance.

Besides technical know-how and practical experience, don’t forget to shine light on any soft skills that help bridge gaps between colleagues or facilitate successful collaboration. Highlight the intrinsic qualities that helped you succeed on top of book knowledge.

Identify Your Goals and Needs in a New Field

When you’re making the switch from medical to finance, you need to start by reflecting on what your professional goals and needs are in your new field.

Consider why you want to make this transition from medicine to finance and then ask yourself what success looks like for you in this space.

What do you really need out of a financial job? What do you need to feel satisfied and successful?

Once you’ve identified these, create a plan or roadmap for yourself with short-term goals that will help keep you aligned with the bigger picture and long-term outcomes that can guide your decisions.

Having all these elements already considered and planned out makes the process much smoother, so that once all the paperwork is taken care of, it’s just a matter of taking the right steps towards achieving those objectives.

Research Financial Careers That Interest You and Suits to Your Skills

When you switch from medical to finance careers, its important that you have a good understanding of the type of work you’ll be doing.

Research various financial roles and find out what each one entails. Evaluate which ones are within your strengths and interests. Even if you don’t have an extensive background in finance, some key skills like patience and attention to detail will undoubtedly make it easier for you to excel in this field.

Look into ways that your medical experience can be beneficial in the financial world and find out which industries offer the types of roles that suit those abilities best. Even though they may not be directly applicable, understanding how the overall healthcare industry works could be advantageous when making investments etc.

At same time, take courses or read books on money management to get a feel for some fundamentals. This ranges from stock investing, budgeting to retirement planning and more complex topics like derivatives trading and portfolio optimization. Be sure to keep up with technology developments as well if you plan on taking on a tech-related job in finance because staying abreast of current trends is essential for success.

Be Prepared for Change in Work Life Balance and Professional Dynamics

Medical and finance are two very different industries, involving vastly different mindsets, skill sets, and expectations.

Making the switch from one to the other can be a big adjustment, requiring quite a career pivot.

Those making the transition should expect many changes in their work life balance and professional dynamics.

In the medical field there is often a focus on providing patient care, whereas in finance industry focuses more on customer service, sales and compliance.

Research expected pay rates applicable to finance workers so you can enter firmly aware of reasonable expectations for compensation as well as any health benefits available through the employer.

The skills needed for success in both are also quite varied ranging from technical ability with data and systems to strong interpersonal skills and an understanding of financial markets.

Adjusting to not only these new set of skills but also the cultural differences between these often separate industries may be difficult but gives you the opportunity to engage in exciting new challenges while developing valuable experience.

Join Professional Groups Within the Financial Industry

To increase your chances of success, first join professional industry associations related to the financial sector. These associations provide members access to a vast network of professionals, job opportunities and industry-specific education.

Getting established in this new community will give you an opportunity to learn more about working in the space from those who are currently in positions you may later aspire to have. This knowledge is invaluable as it allows you to better understand how the industry works and what type of skills and qualifications are necessary for success.

Additionally, don’t underestimate the potential career advice and support these groups can provide — such as resume guidance or introductions to potential employers — that may be helpful during your transition.

Keep Learning and Networking Regularly to Advance Your Career

One of the biggest challenges when switching from a career in medical to finance is learning the lingo and methods. Knowing the ins and outs of financial statements, regulations, taxes, collections, debt management, investment options and titles are all essential in successfully navigating this new world.

Taking on short-term courses or online webinars can help you get up to speed quickly while networking with others in your new field can also be beneficial in learning the ropes.

By building relationships with those already established in finance, you will stay informed of industry news and updates as well as have more opportunities for professional growth. Regularly attending meetings and conferences related to your field is another great way to stay connected and make key connections to help move your career forward.

Conclusion

Switching from medical to finance is a big step, but if you’re prepared and organized, you can make the transition go smoothly. There will be plenty of preparation and research required on your part, but the effort will be worth it in the end as you gain new skills, maximize your earning potential, and explore new avenues of career growth. With the right plan in place and a good support system in your corner, you can find success no matter what profession you choose.

Entering into a new industry after graduating with a degree in mechanical engineering can be daunting. Not only are you unfamiliar with the workplace, but you may not even know how to use your specific skills in this new environment.

However, there are numerous ways to break into a new industry after graduation, and taking advantage of one or more of these approaches can put you ahead of the game.

This article will provide advice on how to break into a majorly different industry for those who’ve received their undergraduate degrees in mechanical engineering. We’ll discuss several different strategies you can use depending on your individual situation.

Research Your Career Paths 

Before beginning your job search, it is essential to take the time to assess what types of mechanical engineering roles you are keen on. Mechanical engineering covers a range of activities from designing and manufacturing to renewable energies and sustainability. Research each path available to you to determine which ones fit your interests and objectives.

Use Technical Job Searching Resources

Once you know what type of engineering roles you are interested in, it’s time to start your job search. There are lots of great resources available specifically for engineers, like job boards and career fairs. These can be great places to find openings related to the kind of job you want. You can also utilise online platforms such as LinkedIn to network with employers and recruiters.

Network, Network, Network

Networking is critical when searching for a job, especially if you are trying to switch industries. Attend industry events, join professional associations, and reach out to professionals in the sector you’re aiming for. Not only can these connections help you discover job openings, but they can also offer useful advice and emotional support as you pursue your new career.

Build a Strong Resume

Your resume is typically the first impression between you and a prospective employer, so it is essential to make sure it’s great. Be sure to showcase your valuable skills and experiences, like any coursework, internships, or projects you have accomplished. Additionally, it’s wise to personalise your resume for the particular job or business you’re applying for.

Develop Career Development Strategies

To ensure success in an unfamiliar industry, it will take dedication and effort. In order to give yourself the best potential for success, you must be dynamic with your professional growth. This means attaining new abilities or abilities, taking on daunting tasks, or registering for related courses.

Look for Professional Growth Opportunities

As well as continuing your education, there are plentiful professional development chances in your new industry. Many corporations run mentorship programs or career progression initiatives that can help you advance professionally. Stay alert for such opportunities and be assertive in seeking them out. You could also seek out mentors in the Yuukke community. 

Use a Variety of Job Hunting Approaches

Your job hunt should involve more than blindly submitting resumes. Don’t hesitate to network with hiring managers or contact recruiters to learn about unadvertised opportunities. Take chances and apply for positions that may not exactly be a dream match for you – even if it’s a first step in your career journey. Again, Yuukke has a wealth of resources and tools that help finding a job in an alternative field.

Understand the Education Requirements for Your Desired Career Path

Before embarking on your professional journey, make sure you have the appropriate educational qualifications and credentials. Depending on the industry and position you wish to pursue, this may include obtaining a bachelor’s or master’s degree as well various licenses and certifications.

Develop the Right Professional Skills

Aside from your technical proficiency, there are various crucial skills that will be required for success in any industry. Examples of these skills include communication, problem-solving, and teamwork. As you set off on your new career journey, focus on honing these abilities and widening your knowledgebase and skill set.

Gain Industry Experience

Gaining practical experience can be a fantastic way to build your professional network and understand the ins-and-outs of your desired industry. Consider interning or taking on entry-level positions to gain invaluable experience and make contacts in your industry.

Finally…

Breaking into a new industry after graduating with a degree in mechanical engineering is certainly challenging, but it’s not impossible. With the right amount of research, networking, and persistence you can find your way into the career you desire. Don’t be afraid to ask for help and reach out to professionals in the industry to gain advice. Take your time and don’t rush, focus on building up a great resume and gaining experience through internships or apprenticeships when possible. With all these helpful tools at your disposal, you are sure to find success by creating the opportunity you want and deserve.

Being a software programmer is a high-paying and prestigious job. But is the strenuous four years of Engineering studies a must to get into the software industry? What if you are studying arts and you want to pursue a career in programming because of financial security? Or maybe you just want to acquire the skill of having a backup plan. In any case, even as an art student, or as someone who is not from the software industry, you still have a chance to become a successful programmer.

You do not need high-tech devices to learn to program, nor is a formal education in programming necessary. In fact, self-taught programmers are on the rise. With time, dedication, and internet access, anyone can learn to code. Let’s get to know how.

What is Programming?

A computer program comprises code that is executed on a computer to perform particular tasks. Programmers write this code. Programming is the process of giving machines a set of instructions that describe how a program should be carried out. These computer programs allow us to interact with different software devices and services like smartphones, websites, and the computers themselves.

Understanding the Basics of Programming Languages

A computer program is written in a programming language. A programming language is a computer language that a computer can understand and perform the task written in the code. There are a hundred types of programming languages. The major programming languages are C/C++, Java, JavaScript, Python, PHP, C# etc. Each of these languages will have its own way of writing code used to give instructions to computers or machines. A programmer should know at least one or more programming languages.

As a beginner, it would be advisable to start with easier programming languages like C/C++, HTML etc. But it is also good to start with Java or Python as they have a wide range of applications. It can take you months to learn a programming language thoroughly. But practice makes things perfect.

Choosing the Right Resources for Your Needs

Learning to code these days does not a classroom or formal education. There are thousands of websites out there which offer online courses on programming. A good course will have a structure and keeps everything digestible. It is essential to understand the basic concepts first before coding.

When choosing a course to learn, it is best to know what kind of programming language you want to learn, and what is your primary goal in learning programming. Know where you want to apply the program to. Before enrolling, check the course curriculum if it includes the language that you are most interested in. Also, you need to know how much technical support you will be getting during your course. When you face a difficult topic or fail to write a program, there must be people to whom you can ask questions.

Getting Started with Online Tutorials

Popular free course providers include:

• freeCodeCamp
• CODECADEMY
• UDEMY
• W3Schools
• Hour of Code by Khan Academy
• Harvard’s acclaimed Introduction to Computer Science course on edX and the CS50 YouTube channel

Giving a try to these free services could be a good option before investing any money to learn to code online formally.

Finding a Mentor or Teacher to Guide You Through the Process

Sometimes learning online alone is going to be difficult for certain people. Not having a dedicated teacher to turn to with your specific doubts and difficulties can hinder your smooth studying. In that times, it is best to have a mentor or teacher offline. It need not be a proper teacher, it could be someone who works in the software industry and is good with the programming that you are trying to learn. They can guide you when you are having a difficult time.

Exploring Different Learning Platforms

Don’t stick with just one learning platform when trying to learn to program. Another learning platform may have something that your current learning platform is not offering. It is always best to explore different sources and learning platforms.

Using Virtual Environments to Create and Test Code Projects

You just don’t need to learn to code, you need to practice it. You need to spend time reflecting on whatever you have learned and practice is the most important thing. There are various websites on which you can practice your coding skills. These coding websites will create virtual environment problems which are challenging yet fun for you to tackle with your coding skills.

Some of these websites are:

• Coderbyte
• HackerRank
• Codewars
• CodinGame
• CodeChef

Finding Your Niche in Arts-Focused Programming Resources

As an arts student, coding could feel a little dry for you. You may lose interest in the middle of learning it. In that case, try to find art-focused programming resources. Later you can even use programming for even express yourself artistically. There is even a field of programming called creative coding where the goal is not to create something functional but rather expressive. Here are some programming libraries in JavaScript that can help you in programming artistic works.

• Three.js.
• ml5.js
• Matter.js

Thanks to modern programming languages and libraries, programming for art is a lot more accessible than before.

Coding can be challenging, but it can also be a fun activity if you really enjoy it. The possibility of codding is endless and is one of the fastest developing sectors. So if you want to be a part of the coding community or want to make a career out of it, you really do not need a computer science degree. Even as an art student, you can still be an excellent coder. You just need a computer, the internet and most of all, the willpower to study.