5 Popular Myths About Data Science in the Market

Here you will read about 5 Popular Myths About Data Science in the Market.

Data Science can provide many benefits to an organization. For instance, it can help a company uncover hidden trends. Moreover, it can help a company improve its processes and mitigate its risks. In other words, using DS can be extremely beneficial for a company. However, despite this many people think it’s not worthwhile to become a data professional. This is because of certain myths about this field that are prevalent in the market. Keeping this in mind, today we are sharing with you the five popular myths about data science that are prevalent in the market.

Here are some of the biggest myths about data science that are prevalent in the market.

It Is for Maths Geniuses

Many people believe that in order to become a data scientist they must be a maths genius. However, this is only partially true. Yes, as a data professional, you must have knowledge of different mathematics concepts. For instance, you must have knowledge of concepts like statistics, probability, etc. to be a data professional. But this does not mean you must be a maths guru for this. If you have decent knowledge of mathematics and different mathematics concepts then you can easily become a data professional. So, don’t think you must be a maths guru if you want to become a data scientist. To learn about different concepts of probability and statistics in detail feel free to join our Data Science Training in Noida.

No One Needs Data Professionals

Many people believe that no company actually requires the services of a data scientist. However, this is a false belief and the demand for data science experts is very big in the market. Moreover, many giant companies are always looking for competent data experts for their organizations. As per a survey, the demand for data scientists is going to increase by 36% by the year 2031. Thus, if you become a data expert you won’t face any difficulty in getting a good job in the near future. Additionally, while working as a data expert you will also be making hefty money. Amazing, right?

AI Will Replace Data Professionals

Today, AI and AI tools have become very popular in every field. For instance, AI has become popular in fields like medicine, programming, writing, etc. Thus, today many professionals feel they may lose their job one day because of AI. Similarly, many people also believe that AI will eliminate the need for data experts. As a result, many people have become reluctant to pursue their career as a data expert. But this is not true and AI will not replace the need of data professionals. Why? Because the technology itself depends upon a data expert's decision-making/critical thinking skills. So, don’t shy away from becoming a data expert because of AI. It can never replace the need for data professionals.

You Require Programming Knowledge

Yes, you do require coding/programming knowledge if you want to be a data professional. However, this does not mean if you are not a coding guru you cannot become a competent data professional. Many people believe that they need to be a programming guru to be a data professional. But this is not the case and you can become a data professional even with little coding knowledge. However, you must have a deep understanding of the fundamentals of coding and developing algorithms. If you have this knowledge, you can easily become a successful data scientist.

You Only Need to Learn Power BI

Many people believe that Power BI is the only tool that data scientists use. Thus, if they master Power BI then they don’t have to learn anything else. But this is a false belief and you must be an expert in working with numerous tools if you want to become a data expert. For instance, you should know how to use tools like Tableau, SAS, Excel, etc. if you seek to become a data professional. In other words, Power BI is not the only tool that you will require to learn to become a data professional. So, make sure you are open to learning to use new tools if you want to become a data professional. To learn about SAS and Tableau tools in more detail feel free to join our Data Science Training Institute in Delhi.

Conclusion

As you can see, there are many false myths about data science in the market. However, there is no truth in the majority of these myths. So, don’t get anxious because of these myths and drop your plan of becoming a data scientist. The demand for data professionals is increasing with every passing day. Moreover, this trend/demand is not going to change in the near future. In other words, it can be a very wise decision on your part to become a data professional.