Data Science is a field whose demand is increasing rapidly all over the world. Data Scientists are getting packages worth lakhs in the beginning itself. Know everything about this career option.
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In the digital world, new possibilities are being created due to technological advances. Innovation is happening all over the world at a rapid pace and the digital future is becoming increasingly exciting. Nowadays there are many such fields, which are leaning towards analytics. Data collectors are preparing our future in the digital world. The economy, society and politics are changing. Big companies are paying more attention to data collection, for which data scientist is needed for analysis. There is a huge demand for qualified professionals in this field. Salary is also excellent. Know in this article Data Science Career about everything.
Who is a Data Scientist?
Any kind of information sent through an electronic device is called data. Nowadays almost all companies store data in some way or the other. Data scientists keep this information safe for future use. Organize it and after analyzing it solve the problems.
Data scientists use knowledge related to computer science, information technology, mathematics and statistics to handle any challenging situation. Data experts work in the business and IT worlds and analyze complex datasets to benefit the industry. In other words, data scientists try to find out from a plethora of information in which areas a particular data set can be used and how to make it more useful.
Data Science Eligibility
To do Graduate Diploma in Data Science, it is mandatory for the candidate to have passed 12th with Physics, Chemistry and Maths. After this, admission is given in post graduate course in this field. To become a data scientist, PG courses can be done in Computer Science, Maths, Statistics, Applied Science, Electrical Engineering, Mechanical Engineering. You can also do PhD in Data Science for career advancement.
Data Scientist Technical Skills
To advance in this field, learn Python Coding, R Programming, Artificial Intelligence apart from various techniques of Machine Learning like Logistic Regression, Decision Trees, Supervised Machine Learning, Time Series, Computer Vision, Outlier Detection, Survival Analysis, Natural Language Processing etc. is important. Data Scientist must also be proficient in Hadoop platform and Structured Query Language (SQL).
Data Science Top Courses
- PG Diploma in Business Analytics (PGDBA)
- Post Graduation in Data Science
- PG Diploma in Data Science
- Post Graduate Degree in Data Science and Engineering
- MSc in Business and Data Analytics
- Post Graduate Diploma in Business Analytics
- MBA in Data Science and Data Analytics
- Certificate Course in Big Data and Visual Analytics
- Post Graduate Diploma in Management (Big Data Analytics)
Data Science Jobs
There are many job options available after doing data science course. Eligible candidates can work for the post of Data Analyst, Software Tester, Data Scientist, Senior Information Analyst, Senior Data Officer, Business Analyst, Information Officer and Assistant Analyst. Apart from this, many employment opportunities are also available in the private sector. Many companies in banks, insurance, e-commerce, telecom, finance, utility and pharma sectors offer jobs to data experts.
Data Science Top Colleges
- IIIT Bangalore
- IIT Delhi
- IIT Hyderabad
- IISc Bangalore
- IIT Madras
- International Institute of Digital Technology, Andhra Pradesh
- Indian Statistical Institute, Kolkata
- IIM Ranchi
- International School of Business, Hyderabad
- IIT Bombay
- IIT Kharagpur
Data Science Salary
Usually data scientists are offered high salary packages. At the very beginning of the career, a package of Rs 6-10 lakh per annum is easily available. As the experience increases, the salary also increases. In foreign countries, they get many times more salary. Companies like Facebook, Microsoft, Google and Amazon offer jobs to a large number of data scientists in Hyderabad. Major cities like Mumbai and Bangalore get higher salaries.