Roadmap to Data Science- A Comprehensive Guide For Aspiring Data Scientists
Data science is an interdisciplinary subject. It analyzes algorithms and process information out of organized and unorganized data sets. The components of data science are data extraction, cleaning, manipulation, and lining followed by predictive analysis. It helps the industrial segment with decision-making, strategy development, prediction, etc.
In short, it deals with computing science, math, statistics, data cleaning, and data visualization.
If you are an experienced industrial person, then you might know the hype of data science globally.
But wait! Are you a fresher? Loaded with insufficient information about data science. Then you are at the correct place.
This blog will tell you the ways one can achieve a career in data science.
Data Science-Why?
Before getting inside the roadmap to data science, let’s understand why you consider data science as a career.
Are you a college graduate or an individual who wants to make their career as per trending subjects?
College graduates or students as a part of their thesis want to learn data science, then they should consider doing a beginner curriculum like a certificate course. Besides, you want to deeply root your occupation into data science, in that case, assess a professional degree course in data science.
Job Outline of a Data Scientist
Data scientist collects and examines data sets to advise business resolution. Collecting data, processing, and visualizing is the main task of a data science professional. Apart from that, they also make machine learning prototypes for implementation to solve real-life problems daily. Many times, a stakeholder can be a non-tech professional. So, they bridge between non-tech and tech professionals to explain the business insights.
Expertise Required to be a Data Scientist
- Domain Specialization- It is of utmost crucial to have your domain knowledge. For example, after a data science program if you want to join in healthcare industry but don’t have any previous exploration in the same domain. So, it becomes difficult to get into the particular sector. Whereas, if you pre-acquired an idea of the same domain, then the company you are targeting will keep you on their list of preferred candidates.
- Mathematical Skills- As a part of the course, one has to undergo a few of the mathematical concepts like algebra, statistics, probability, etc. These are the basic notions for machine learning.
- Communication ability- Having interpersonal skills is very important for communication. It helps in presenting and collaborating your work with other team members.
- Computing Science knowledge- Programming language is very significant when it comes to making your system understand your instruction. The systems understand selected languages to give predicted outputs. Some very popular languages are Python, R programming, etc. No need to get which one to opt for. Both languages have their importance for designing various machine learning models. Thus, learning both will give you an upper hand. Other than programming, studying computer science will also teach you:
- Machine Learning and Deep Learning.
- Foundation and basics of Data sets and algorithms
- Linux
- MongoDB
- SQL
- NOSQL, etc.
Standard Salary of a Data Scientist
The estimated salary of a data scientist across every industry is about 7 LPA. Whereas in India, college grads can expect up to 5LPA. Besides, experienced data scientists can earn an average of 20 LPA. Kindly exempt the fact that there will be fluctuations in salaries based on different factors. The factors are work experience, geography, size of the organization, etc.
To summarize, data science is the key in today’s world. Upskilling yourself with the flowing innovation makes you one step ahead compared to others. Enrol in the Data Science course in Dubai and be ahead of the race.
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