Career in Data Science- Future Scope, Job, College, Course Fee

Career in Data Science- Data Science is the study of data. It is a multidisciplinary field that analyses raw data and uses it for multiple purposes. One of the goals of data science is to extract insights and knowledge from the data which is collected regularly over time. It is a comprehensive application of various subjects ranging from statistics, mathematics, algorithms and so on. Data science includes data analytics, machine learning, data mining and various domains. Python, R and Julia are the programming languages which are used in data science. Data science has been beyond that technology and space and it is one of the most booming fields to opt as a career in present times.

A data scientist is that person who experiments with the data and responsible for the growth of companies by analysing the data with his intellectual data wrangling, programming skills, intuition. Big companies hire a data scientist for increasing their domain expertise and uncover the major issues which help the companies to make the right decisions. Data scientist jobs can be the highest paid jobs in the future and it is a very lucrative career choice even at present.  

Future Career Scope in Data Science

In the region of data science, you can find the various lucrative scope of data science. Mentioned below the opportunities give you a better way to choose your destination.

E-commerce – It works online marketing and sales. E-commerce has considered  smartphones, computers etc. Individually any product can be purchased through e-commerce over the internet. Here we have shared a few market component of e-commerce: 

  • business to business
  • business to consumer
  • consumer to consumer 
  • consumer to business

Banking & Finance- The Bank usage technology to make the banking process easy so that they engaged with their customers effortlessly. Data analysis also helps in financial services and any fraudulent work can not take place. Data science makes technology more advanced than it directed to better surveillance of their client’s privacy.

Manufacturing- Data science is used in manufacturing for multi-purpose productivity, it increases the growth of profit. Here you can get some popular types of data science used in manufacturing.

  • Global marketing pricing
  • Sustainability and greater energy efficiency
  • Automation and the new design facility
  • Supply chain and supplier relation 
  • Performance, quality assurance and effect tracking 
  • Demand and throughput forecasting 
  • Predictive and conditional maintenance
  • New process and materials for product development and production techniques

Transport- Data science contains remarkable data in the transportation field. It catches a huge amount of data daily, whether it is vehicles location system, ticketing, fare collection system and many other systems. Data science is managing the network to increase the trustworthiness of the service. 

Healthcare- In this field data science also plays a vital role, by managing the electronic billing, medical records and patient data and so on. It improves the healthcare industry to accomplish operational experience. 

Data Science- Eligibility Criteria

There are three general steps to becoming a data scientist. It is the most prominent and demanding field among most of the data industries. 

  • Aspirants should have a Bachelor’s degree in IT from computer science, physics, mathematics or another related field. 
  • Complete a master’s degree in data or applicable field with experience in the field you plan to work. 

Top Colleges of Data Science

Candidates can always go for data science courses. Some of the best  institutes with best results and placement have been mentioned below.

  • JK Laxmipat University, Jaipur
  • Centre for Development for Advanced Computing (CDAC), Pune
  • Bombay Stock Exchange Institute, Mumbai
  • Indian Institute of Management (IIM), Kozhikode 
  • Chandigarh University (CU), Chandigarh 
  • Indian Institute of Management (IIM), Calcutta
  • Indian Institute of Technology (IIT), Hyderabad
  • Indian Institute of Management (IIM), Bangalore
  • Great Lakes Institute of Management, Chennai 
  • IIIT, Delhi 
  • Indian Institute of Science, Bangalore 

Career in Data Science- Course Fee

Just have a look at the courses fee pattern, mentioned below is the approximate fee structure and could be changed with their subject. 

Campus name  Course Fees
Bombay Stock Exchange Institute  Rs. 2.17 lakh 
Centre for Development of Advanced Computing  Rs. 1.15 lakh 
Institute of Insurance & Risk Management, Hyderabad  Rs. 2.50 lakh 
Advanced Computing Training School, Noida  Rs. 1.00 lakh 

Name of Top Companies

We have shared some prominent recruiters/agencies for the aspirant’s needs which are listed below. 

  • IBM 
  • Amazon 
  • Sigmoid 
  • LinkedIn 
  • Flipkart
  • Busigence Technologies
  • Fractal Analytics 
  • Mate Labs 
  • Couture 
  • Walmart Labs 

Career in Data Science- Job Available

Demand for knowledgeable data analytics employees is increasing day by day. Lots of employers are hiring for these positions. Candidates can apply for the positions of data analytics which is mentioned below. 

  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Quantitative Analyst
  • Operation Analyst
  • Marketing Analyst
  • Data Analyst Consultant
  • Project Manager 
  • Business Intelligence Analyst
  • Transportation Logistic Specialist 

 Career in Data Science- Average Salary Package

The range of salary in data science increases according to your intelligence and experiences. We have indicated the average salary of various data analytics. You can have a glance and take some idea with this.

Job’s name  Average Starting Salary 
Data Scientist Rs. 8-9 lakhs
Data Analyst  Rs. 4-5 lakhs
Data Engineer  Rs. 7-8 lakhs
Marketing Analyst  Rs. 7-8 lakhs
Project Manager  Rs. 8-9 lakhs

Skills Required to be a Data Scientist

The list of data science skills will help you to get hired by reputed companies. 

  • Prominent in programming skills
  • Good in Machine Learning
  • Software Engineer
  • Data Intuition
  • Data visualisations and communication
  • Promising in statistics
  • Multivariable calculus 
  • Data Wrangling 

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