10 reasons to learn Data Science

Summary: Are you still wondering whether or not you should pursue your career as a Data Scientist? This blog breaks the ice and unfolds 10 reasons to learn Data Science. Data Science is multidisciplinary; hence, obtaining a professional certification in Data Science will provide the right learning ground, thus helping you carve a roadmap to success.


10 reasons to learn Data Science

The rapid increase in digitization has created volumes of data. This information is a powerhouse for companies who use this resource to improve customer service and increase their ROI. This has triggered the demand for data professionals.

Companies are hiring data science professionals who can deep dive into the data repository and summarize it to get a more accurate insight. Moreover, by 2026, the analytics domain is expected to create around 11.5 million new job opportunities. Hence, the importance of Data Science for students is also increasing.

In this blog, we are going to explore the benefits of studying Data Science for students.

Key takeaways

  • The demand for Data Science professionals is going to increase. It is expected to create around 11.6 million by 2026.
  • There has been a 650% rise in the analytics domain since 2012.
  • Employment of data scientists is projected to grow 35% from 2022 to 2032
  • The average salary of a Data Scientist in India is around ₹ 3.9 Lakhs to ₹ 27.9 Lakhs


Benefits of studying Data Science

1. Better growth prospects

One of the key reasons individuals are opting for the Data Science course is the growing number of opportunities in this field. The avenues of growth are not region-specific. The steadfast growth in the data domain highlights the growing significance of Data Scientists across the industry.

The data science market size is going to expand from USD 95.39 billion in 2021 to USD 322.9 billion by 2026. This projected growth also indicates a rise in the demand for other data professionals.

2. Higher pay

The good earning potential of a Data Scientist makes it a lucrative career opportunity. As a data scientist, you can target different job profiles, and each of these is a well-paying opportunity. For example, as a Data Engineer, you can earn around ₹8,00000 per year in India. 

3. Be your own boss

Data scientists have the chance to work remotely. As a Data Scientist, one’s profile is not limited to working for a company. Rather, they have the opportunity to pursue a career as an instructor. Hence, educating oneself in the data domain opens up new avenues of growth. 

4. Versatility

Data scientists possess a versatile skill set that includes programming, statistics, and domain-specific knowledge. Thus, it makes them eligible to work across different aspects of data analysis and interpretation. 

5. Global Opportunities

Data science is a global field, and professionals often have the chance to work on international projects, collaborate with teams from around the world, and contribute to global advancements. Some of the countries that offer great growth opportunities to Data Scientists are Belgium, Luxemburg, USA, India, California, and Germany. 

6. Different types of Job roles 

As a Data Scientist, you have ample opportunities to explore a wide array of profiles. After completion of your Data Science course, you can explore several job profiles like Data Engineer, Data Analyst, Machine Learning Engineer,  and others. Companies are actively seeking individuals with expertise in this domain.   

7. Career growth

The demand for data scientists is expected to continue growing. This will provide ample opportunities for career advancement and professional growth within the field. 

8. A prosperous future

Data Science education is not for the present. Rather, it is an investment for the future. As we continue to delve into the virtual world, data will become a key source of information that will help companies address their customer requirements.

 Hence, the growth scope for Data Science professionals has a promising future, making it one of the best career opportunities. 

9. Continuous Learning and Skill Development

The field of data science is dynamic and ever-evolving. This constant evolution means you’ll be engaged in continuous learning, keeping your skills sharp and staying ahead of industry trends. It’s a profession that thrives on curiosity and a thirst for knowledge.

10.  Be at the Forefront of Technological Advancements

Data science is at the forefront of technological advancements. From machine learning to artificial intelligence, you’ll be actively involved in pioneering technologies that shape the future. It’s an exhilarating journey into the heart of innovation.


Why is there a growing demand for Data Scientists?

With such a huge rise in the demand for Data Science professionals, it is becoming one of the most lucrative career opportunities. There are several contributing factors to this. Some of these include:

1. Abundance of data

With the vast amount of data that we are generating, harnessing the large volumes of data can be a challenging task. This has triggered the demand for data science professionals who can harness this data and derive insights that can lead to organizational growth.

2. Talent deficit

The quest for proficient talent in the realm of Data Science proves to be a challenging task. According to a 2021 McKinsey report, the U.S. alone faces a shortage exceeding 190,000 data science professionals. Subsequently, this demand has seen manifold growth.

3. Diverse and long skills are required

Starting your career as a Data Science professional demands more than just a rudimentary understanding of programming or coding. Proficiency in tools like Spark, Hadoop, and NoSQL is essential. Moreover, expertise in Machine Learning, programming, and statistical modelling is imperative. The challenge lies in finding individuals who possess this comprehensive skill set, making them a rare find.

4. No entry for professionals with zero knowledge of related subjects

Subject matter expertise is crucial for anyone who wishes to excel as a Data Scientist. Individuals lacking ties to computer science, engineering, mathematics/statistics, or general Science. One of the easiest ways to become an expert in this field is by obtaining a certification course in Data Science.

Closing thoughts

The highlighted reasons to become a Data Scientist would have given you a clearer picture of how this field is going to unfold a new set of opportunities. If you, too, are planning to upskill or make a career shift, this is the right time to invest in Data Science education.

Start your learning journey with Pickl.AI

Individuals planning to become a Data Scientist can enrol for the Data Science course by Pickl.AI.  In addition to the foundation course, you can also enroll for the Data Science Job Guarantee Program that ensures your placement after the completion of the course. To know more, connect with Pickl.AI today.








Leave a Reply

Your email address will not be published. Required fields are marked *