Programming is becoming an essential part of professional life. No matter in which industry or at which role you are serving. To perform better, you will need to learn to code so that you can analyze data and automate tasks using computer programs. You will hear from a lot of people that you need math to be good at programming. In this article, we will discuss if you really need to be good at math to be good at programming.
Do You Need Math For Programming?
I will say yes and no. If you are reading this blog, I assume that you are either a working professional or a graduate looking for a career in software and programming domains.
While programming, I have rarely faced a problem that needs me to have knowledge of advanced mathematics. But, it is also true that you cannot write a program if you don’t know the basic arithmetic. By now, you must have acquired good knowledge of arithmetic and you know enough mathematics to write a computer program or a software application. So, if you are looking to learn programming to develop a website or to build an android application, you know enough mathematics and you can start your programming journey.
On the other hand, if you are looking to dive into careers such as machine learning or data science, you will face problems if you don’t have knowledge of advanced mathematics. Data science algorithms require you to know various linear algebra, statistics and probability concepts. Without knowledge about these topics, you will hardly be able to make an impact in these domains.
Let us now look at some career options that do not require good knowledge of mathematics.
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Programming Jobs That Do Not Require Mathematics
Software developers are responsible for implementing ideas into software applications. As a software developer, you will have to create software applications by writing source code for implementing different functionalities. To become a software developer, you will have to be good in logical thinking and analysis so that you can analyse the requirements and implement them. Being a team player will also help you to become a good software developer as you will always be working with a team to implement the software solutions. Here, you won’t need advanced mathematics. Rather, you will need a good knowledge of software development practices.
Quality Assurance Engineering
Quality assurance engineers are responsible for testing the software that has been developed. They make sure that the software works in the desired way. This can be the best job after graduation for you if you are good at critical analysis. The key skills required to be a quality assurance engineer are analytical and investigative thinking and attention to detail. You will also need a good understanding of software automation tools besides programming to excel in this field. Again, you don’t need mathematics for this role.
DevOps is an acronym for Development and Operations. As a DevOps engineer, you will work for deployment of applications, managing the network operations, facilitating automation, and working with the software development team on developing new applications. To become a DevOps engineer, you will need to know different programming languages, computer architecture, Unix systems and GitHub. Again, no advanced mathematics here.
Programming Jobs That Require Mathematics
Machine Learning Engineering
Machine learning has been adopted by companies hand in hand with artificial intelligence. It has helped companies to make personalized solutions for consumers and to make data-driven decisions using predictive analytics. To become a good machine learning professional, you need to have a good knowledge of programming, probability, statistics, data analytics along with machine learning concepts.
Artificial intelligence Engineering
Artificial intelligence is one of the most lucrative fields in which you can make your career after graduation. With the adoption of artificial intelligence in different fields, the demand for artificial professionals has skyrocketed in recent years. Contrary to that, the availability of skilled professionals has not increased much. This has led to a big supply-demand gap for skilled artificial intelligence professionals, which you can harness to have a great career in artificial intelligence after graduation. To be an excellent artificial intelligence engineer, you will need to have good programming and analytical skills. Having good knowledge of mathematics, statistics, robotics, and graph theory will also help you have a great career in artificial intelligence after graduation.
The creation of a huge amount of business data, and the need to extract useful information from that data has made data science one of the most lucrative careers after graduation. Nowadays, Companies are willing to pay data science professionals a good salary if they have the skill to derive knowledge from the available data, which can help them develop consumer-centric solutions. Due to the increasing dependency of companies on data for decision making, data scientists are in high demand in recent times, and this trend is going to continue in coming years. To excel in the field of data science, you will need to have good programming skills and good data visualization and analytical skills. You will also need to know statistics, artificial intelligence, and machine learning concepts.
With the generation and storage of a vast amount of business data, it becomes important to save the data from unauthorized access. This is where a cybersecurity specialist is needed. You can make a career after graduation just by helping companies to protect their digital assets. Nowadays, cybersecurity specialists are in high demand, and their salaries are also very competitive. To become a good cybersecurity professional, you will need to have a good understanding of network security, mathematics and cryptographic techniques besides computer programming.
In this article, we have discussed the importance of mathematics in different programming jobs. We also discussed if you need math for programming or not. If you are looking for jobs that do not require mathematics, you can learn python or other programming languages to start with your journey. If you want to learn data science or machine learning, you will need math. Right now, you might not be good at math but if you put your mind to it, there is no reason to believe that you can’t ace it. So, have a growth mindset. You can do anything if you try. Start with your programming journey by learning mathematics and you will surely achieve your target.
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