A Complete Guide to Career Opportunities in Data Science
A feedback from a customer, a sale, a product return, response to a marketing campaign, complaint registered on an online platform – everything is important data for the company. Organisations have learned over the years that every bit of such important data hides scores of information beneficial for the company. Analysing all this data can help reveal the secrets, trends, and patterns they hide.
Companies can use this data to:
- Improve their marketing campaigns
- Acquire new customers and retain existing customers
- Identify innovative solutions to business challenges
- Enrich and improve the lives of the customers and the workforce
The increasing demand for data analytics have created a demand for qualified Data Science professionals. Whether you want to improve your career prospects or earn a higher salary, switching to Data Science gives you lot of options. It can be your best career move. Let’s explore the various Data Science career opportunities and salary trends, so you can make a more informed decision about your career path.
Data Science Career Opportunities
As the world churns out more and more data every day, the demand for skilled professionals who can analyse the data also increases. There are plenty of career opportunities in this domain. You can choose a career path based on your educational qualifications, certification, experience, and preference.
The key responsibility of a data scientist is to collect and analyse huge volumes of data based on business requirements and goals. Data scientists should also work with stakeholders to identify how the data can be effectively used to drive business solutions.
A data architect needs to build scalable database systems and define their purposes. The architect should also create a blueprint for the database and identify ways to test and evaluate the performance of the database. They should also migrate data from legacy systems to new platforms, if required.
The role of a database administrator is to maintain the database, evaluate its integrity and security. A data admin is also responsible for monitoring and tracking data access and managing the backend.
The core responsibility of a data analyst is to collect, sort, and classify data obtained from various sources in varied formats. The data analyst then needs to use the right tools and methods to interpret the data to find patterns and trends. They need to work along with the operations or development team to help implement the findings obtained from the data analysis.
A business analyst (BA) also analyses data but focuses more on the business opportunities and development. A business analyst bridges the gap between IT operations and business by using data analysis. They need to interpret data and translate it into a language that the operations and business development team will understand.
Data Analytics Manager
The data analytics manager should have the knowledge, skill, and expertise in data analysis and team management. They need to have an in-depth understanding of the business goals and direct the team of data analysts in the right direction to aid business growth.
Business Intelligence Manager
A business intelligence (BI) manager is responsible for the team of business analysts, data analysts, data architects, and data admins. The BI manager should be able to manage the day-to-day operations and help them work as a team to manage business challenges.
Data Scientist Salary Trends
There has been an upward trend in the Data Scientist salaries over the last few years. It is because there is a huge demand for skilled and qualified Data Science professionals. All industries are now using data analytics in their marketing, operations, research and development, innovation and customer service. A fresher with the right certification and skills can expect an average salary of Rs. 6 lakhs per annum. Experienced professionals with relevant background can expect an average salary of Rs 9 lakhs per annum and above.
Essential Data Science Skills
The essential technical skills necessary for a Data Science professional are:
- Coding skills
- Knowledge of statistics and probability
- R/Python programming languages
- Working knowledge of Spark and Hadoop
- Knowledge of SQL and NoSQL databases
- Proficiency in frameworks such as PyTorch, Keras, TensorFlow
If you don’t have any of these technical skills, then enrol in a Data Science training in Bangalore to learn them from an industry expert.
As for soft skills, a Data Science professional needs to have logical thinking and critical thinking skills. The ability to work in a team and good communication skills will tilt the scale in your favour.
Corpnce offers Data Science certification courses in Bangalore
Corpnce offers hands-on Data Science training in Bangalore. One of the leading training institutes in the city, Corpnce is well-known for its intensive courses and placement opportunities. Their Data Science course in Bangalore is regularly updated to keep pace with the emerging technologies and tools used in the domain. Also, this training institute follows a project-based learning methodology that encourages and motivates students to apply their learnings in practical work situations.
Contact Corpnce to know more about the eligibility criteria and admission procedure to enrol in their basic and advanced Data Science courses in Bangalore.