Data science is about discovering and using valuable insights from raw data. Many professionals these days are seeking a career in the field of data science as it is relatively a new field. One must possess technical and soft skills to grow in this career, which can be done through a specialized course. While you pursue a PGP in data science, you can face different challenges that may hinder your progress. Some of the challenges that you may face during a course of PG in Data Science are lack of expertise and management support, dirty data.
You can learn all the skills and techniques from a PG course in Data Science from Jigsaw Academy, where you can also get hands-on industry experience. Here, we will cover the significant challenges you may face while pursuing a post-graduation in data science:
- Limited Domain Knowledge
If you have recently started your career in the field, you must know the tricks and techniques to play with humungous data. Without a proper understanding of the field, it may be hard to get the right results. It must be noted that a fresher may not be able to resolve the issues while working on any process as they have limited knowledge of the domain. It may not come immediately to you; it takes time to spend and work in a particular domain. However, you can opt for a PGP in data science to get the right insights on the same.
- Get the Right Data
In this case, quality is better than quantity is the hour’s call. A Data Scientist’s job involves understanding the question and answering it using the right tools and techniques to analyze the data. Once you know the process and its specifications, you must collect the correct data to derive relevant insights. Therefore, in the first place, it is important to get the relevant data to construct an accurate model that works well with the company. To overcome this information issue, the Data Scientist works with the company to get enough data and then use domain understanding to get rid of the irrelevant features.
- Understand the Communication of the Results
A company’s manager or stakeholder is often unaware of the model’s tools and working structure. They are required to make critical business decisions based on what they see before a data scientist’s charts, graphs or results. It may not help much to communicate the decisions in technical terms as people at the helm struggle to understand due to limited knowledge. So, you can explain your findings in layman terms and even use the metric to present your results at the beginning.
- Know-How to Secure the Data
In today’s world, data security is a major challenge. The proliferation of interconnected data sources has made it vulnerable to hacking or other cyberattacks. Data Scientist struggles to get permission to use the data due to lack of certainty and the uncertainty clouding it. One way of ensuring data security is to observe global data protection. It is also possible to implement the use of cloud platforms or additional security checks to protect data and perform tasks. Machine learning can also be used to protect data against cybercrimes or fraudulent behavior.
Data Scientist is the most in-demand job position in the market. Given all the challenges faced, you should not let it be an obstacle to achieving your goals. Since several professionals are trying to get into this area, first, they must learn to program, and Python is an ideal language to begin their programming journey.
Many Indian institutes are helping professionals to develop expertise in the field of data science. Jigsaw Academy in Bangalore provides a PGP in data science certificate that can help you gain industry-based knowledge and enhance your soft skills. The course of PGP in Data Science helps acquire advanced knowledge of the processes with programming languages to improve your technical know-how. By pursuing the course from Jigsaw Academy, you can become one of the most skilled data science professionals.
