There are vast amounts of data generated every second. From your smartphone to your online behavior, every action you take can be consolidated into big data. Now, this huge amount of data houses great potential. Businesses and corporations can use this data to understand user behavior, predict patterns, and be better prepared to deal with future challenges. To do this, they need data scientists.
Data science is a relatively new term that has taken the world by storm. The profession has been named the “Sexiest Job of the 21st Century” by Harvard Business Review. This job offers many perks and is being touted as the most in-demand profession. Data scientists are all-rounders who need to know at least the basics of statistics, maths, and computer science.
With time, Python has become a popular choice among data scientists and getting a data science with Python foundation training can do wonders for your career.
Is becoming a data scientist all that it is made up to be? Is it really worth the effort? Why should I choose it as my career? These are valid questions that anyone can have. Here are a few reasons that justify the choice of data science as a career.
Since data science is related to computer science and requires coding skills, many think that a data scientist is a tech industry job. This is not entirely true. Almost every industry has a need for data scientists, from tech to gaming to the financial sector to retail. You can pick the industry that you want to work in and become a data scientist in that industry.
As per a report by IBM, there will be a shortage of about 62,000 data scientists by the year 2020. This can also be attested by the fact that around 80% of people working in the field right now say that there is a severe shortage of trained data scientists right now.
Since there is a wide disparity between the demand and supply of data scientists, the job currently fetches a high salary. This is the most in-demand profession right now and a well-trained data scientist with good qualifications can easily get an impressive package. The average salary of a data scientist is the US right now is around USD 91,000 per annum.
When you work in a new field that is still in its infancy such as data science, the potential for learning on the job is enormous. You will be constantly discovering new things and finding new solutions to problems or facing new challenges. If you like a challenge and want to constantly reinvent yourself and change your thinking, then you should definitely consider becoming a data scientist.
The field of data science has a projected growth of around 11% between 2014 and 2024. This means that the demand for data scientists with Python foundation training is set to increase. The field is also growing faster than any of its counterparts.
The language used by a data scientist can have a great impact on the time taken to analyze the data and interpretation of the results. Python is one of the most popular languages used by data scientists. Its simplicity, scalability, flexibility, and power are the main reasons for this.
Python is relatively easy to learn. Even a non-programmer can understand the basics and start coding. Python also has good community support. If you ever get stuck while learning and need to clear some doubts, just post your query online and your doubt will be cleared in no time. The Python community is also actively involved in building new packages that are helpful for data scientists. This has only made the language more attractive to data scientists and has increased its adoption in the field.
Not only is Python a powerful language that does quite a lot with just a few lines of code, but it is also well-supported by powerful packages that make it easier to solve complex data science problems.
Data science with Python foundation course can help your career reach great heights. It is the best way to enter an exciting profession whose impact can be felt globally in our everyday life. It is also a good way to enter a high paying career where you also get to keep learning.