The starting salary for a data science professional starts at ₹1,00,000 per month and can go up to ₹3,00,000/- per month. With such a high-paying job at stake, there is a cut-throat competition in the job interviews for data scientists.
If you are either pursuing a data science course or looking to pursue a career in data science, then you should know that it is important to learn data science continuously. Unlike other established fields, data science is changing every day and it requires constant updating of knowledge from your side. It is important to learn the latest advancements in the industry.
Data Science is an Evolving Domain with Many Changes
Data science is still in its infancy and the high CAGR (27%) of the field should give you an indication about the rate of change of things in the industry. With the introduction of new tools and development of many, it is important to keep yourself updated about the tools and concepts.
While the tools and languages that are used in data science remain fairly constant as of now, the need for upgrades in IBM SPSS, Excel, Matlab, Python, etc., makes it necessary for you to constantly upskill yourself.
Data Science Along with Artificial Intelligence is Improving Every Day
Data science courses are rapidly changing with the influx of new concepts and advanced topics. If you don’t have the necessary skills, you will soon be replaced by a new breed of data scientists.
Subscribe to the key journals and publications in the domain and make it a point to read all the current trends in the industry. Keeping yourself abreast with the latest changes in the industry helps you to stay fresh and updated. If you are following this one simple task then you will certainly be far ahead of the 90% of the people in the field.
Join a Data Science Course with After Course Support
Many data science courses don’t provide support and mentorship either during or after the completion of the course. These courses are competitively priced and are often very cheap thereby attracting many applications. However, the real pain point of joining such a course is that you won’t get support or mentorship after the course. So, you stay stagnant in your field and will soon go obsolete in the job market.
A mentor with an active participation in the industry will provide you with the latest updates about the field, the new tools, how to tackle rising issues, etc.
Attend Industry Events and Meetups
Attending industry events and meetups is important for you to learn about the latest advancements and trends that are providing the best performance in real-time.
If you are pursuing the data science course from Indras Academy you will get constant mentoring and peer support for you to learn more and more about the recent changes in the field.
Schedule a Weekly Routine to Learn New Concepts and Updates Regularly
When you are planning to upskill yourself in the field, you need to schedule a specific time periodically. The best way to ensure that you are keeping yourself abreast with the changes in the industry is to use the designated time to read the journals and case studies in the industry.
Record Your Learning and Share with Your Audience
Whenever you learn a new concept or make any breakthroughs in the field, you should immediately share the learning to your audience. This acts as a way to reflect on the change and provide you with the opportunity to establish yourself as an authority and a well-experienced data science professional.
When you share your experiences and key learning of your course, it will help others to make an informed decision about their choices.
Share Your Experiences on LinkedIn
The best way to share your professional learning and to establish yourself as an expert is to share your learning on LinkedIn. The platform is also important as you can build a network of people who are working in the industry. You can find people who are interested in working on pet projects along with you.
Additionally, most human resource (HR) managers use the platform for their search for potential candidates for job openings. As an experienced data science professional, if you have a portfolio to showcase on your LinkedIn profile then that almost fixes the job for you. If you have established yourself as an expert in the field, then you will become the natural choice for the data science roles.
Lifelong learning makes you not only an expert but also a pioneer in the industry. When you work in a dynamic environment like data science it is not only advantageous but also mandatory that you update yourself constantly.
If you are a fresher or planning to make a transition into the field of data science then you can join the data science course provided by Indras Academy. Our constant support and continued mentorship even after the completion of the course helps you to stay on top of competition.
