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Data Science
Fast-track your learning with short-term, specialized online certification courses.
Fast-track your learning with short-term, specialized online certification courses.
The Postgraduate Diploma in Data Science is an in-depth, specialized program delivered in a distance learning format, offering flexibility for working professionals and students to advance their education without the constraints of traditional classroom schedules. The duration of the program may vary depending on the institution. It is designed to equip individuals with the skills and knowledge needed to excel in the rapidly evolving field of data science. The curriculum covers key areas such as big data analytics, machine learning, statistics, and data visualization, all essential to data science. Participants gain a comprehensive understanding of both theoretical concepts and practical applications.
As an Data Science student, you will enjoy the following benefits along with quality education:
Affordability: As compared to regular programmes, online courses have a low fee structure. Moreover, you do not have to spend money on travelling or relocation and earning while studying will be less taxing financially. Most of the online programmes offered by universities provide various financial assistance as well such as financial aid and EMI facility.
Flexibility: Data Science programmes grant their learners freedom to pursue education irrespective of the place and time. Students can learn and access materials, resources, and lectures from anywhere with the help of an Internet connection. This flexibility is particularly beneficial for working professionals, as they can balance their job commitments without the need to quit.
Networking: The online mode opens up a chance to expand their corporate network and learn from various industry experts on a global scale. Students can also showcase their skills and connect with a vast network of learners, both online and offline. This provides you with many career prospects by interacting with professionals, alumni and academicians.
Self-paced and Personalised Learning: The beauty of Data Science programmes lies in the adaptability of learning pace. This personalised learning experience mimics one-to-one instruction, treating every learner as essential. This also helps learners to create their own schedules and track their progress, thus learning at their own pace.
The admission process for Data Science course may vary from one university to other. But there is an advantage, the entire admission process would be simple if you choose a specific specialisation.
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The admission process for Online MBA course may vary from one university to other. But there is an advantage, the entire admission process would be simple if you choose a specific specialisation.
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Choosing the right specialisation in an Data Science programme is crucial, as it significantly impacts your career path and professional growth. Where a general Data Science course gives you an overall view of the business world, choosing a niche to specialise in gives you a career edge over others.
Here are some of the main points that make you understand how selecting the right specialisation impacts your life as well as your future:
If you have a keen interest in a particular field where you can implement skills and which can contribute to your career growth, then you are blessed. Just do research on where the specialisation would be taught well and choose the right university.
Your network will be the most valuable asset in the future. Therefore, while picking any specialisation, take into consideration the networking opportunities that the said specialisation will bring your way.
Most companies require candidates who have the ability to work with specific skills that the company needs. Having a practical skill in a particular niche provides you with an with an overall understanding of the job roles and enables you to give quality output to meet the expectations of the company.
It is always necessary to analyse whether the skills will last long for years in the coming future. Everyone has the generic knowledge, but only a few have niche skills and are actually subject matter experts in that particular discipline. This proves to be highly beneficial in the long term.
The successful completion of the Data Science course opens gateway to multiple opportunities in various sectors. We have mentioned some of the best career prospects you can explore after pursuing the Data Science:
| Job Roles | Job Description |
|---|---|
| Data Scientist | Utilizes statistical methods, machine learning, and programming abilities to extract useful insights and develop data-driven solutions. Evaluates and understands complicated data sets to support corporate decision-making. |
| Machine Learning Engineer | Creates autonomous systems that can learn and make judgments without explicit programming. The role varies as per client and company requirements. |
| Data Analyst | Focuses on studying and analyzing data to offer insightful analysis and interpretation. Frequently uses databases, statistical software, and visualization tools to display findings. |
| Business Intelligence Developer | Creates and implements methods for gathering, processing, and displaying business data. Provides dashboards, reports, and other tools to assist organizations in making wise decisions. |
| Data Engineer | Designs, builds, tests, and maintains the databases and large-scale processing systems of the organization. Specializes in large-scale data handling and processing. |
| Job Roles | Average Annual Salary |
|---|---|
| Data Scientist | ₹ 14.6 LPA |
| Machine Learning Engineer | ₹ 9.5 LPA |
| Data Analyst | ₹ 6.5 LPA |
| Business Intelligence Developer | ₹ 6.6 LPA |
| Data Engineer | ₹ 10.7 LPA |
| Course Name: | Data Science |
| Course Type: | Postgraduate Diploma Programe |
| Duration: | 1-2 Years(Depending on college) |
| Mode of Learning: | Online Mode |
| Fee Structure: | Fee varies as per the university. Yet, the average fee is ₹10,000 to ₹1,00,000 for the entire course. |
| Average Salary Offered: | ₹ 7 LPA for freshers. However, it differs depending on the employment position, organisation, experience, etc. |
| Employment Roles: | Data Scientist,Machine Learning Engineer,Data Analyst,Business Intelligence Developer,Data Engineer |
| Examination Method: | Online |
