What is Bsc data science? Has anyone here studied Bsc (data science) course? If so can anyone give me their thoughts on the course? And what are the good college's to study this course?

Data Analytics vs. Data Science

While data analysts and data scientists both work with data, the main difference lies in what they do with it. Data analysts examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions. Data scientists , on the other hand, design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis.

Working in Data Analytics

The responsibility of data analysts can vary across industries and companies, but fundamentally, data analysts utilize data to draw meaningful insights and solve problems . They analyze well-defined sets of data using an arsenal of different tools to answer tangible business needs: e.g. why sales dropped in a certain quarter, why a marketing campaign fared better in certain regions, how internal attrition affects revenue, etc.

Data analysts have a range of fields and titles (https://www.northeastern.edu/levelblog/2016/04/06/what-roles-do-data-analysts-have/) , including (but not limited to) database analyst, business analyst (https://www.northeastern.edu/graduate/blog/what-does-a-business-analyst-do/) , market research analyst, sales analyst, financial analyst, marketing analyst, advertising analyst, customer success analyst, operations analyst, pricing analyst, and international strategy analyst. The best data analysts have both technical expertise and the ability to communicate quantitative findings to non-technical colleagues or clients (https://www.northeastern.edu/graduate/blog/blog-how-to-tell-stories-with-data/) .

Typical Background

Data analysts can have a background in mathematics and statistics, or they can supplement a non-quantitative background by learning the tools needed to make decisions with numbers. Some data analysts choose to pursue an advanced degree, such as a master’s in analytics (https://www.northeastern.edu/graduate/program/master-of-professional-studies-in-analytics-boston-14859/) , in order to advance their careers.

Skills and Tools

Top data analyst skills (https://www.northeastern.edu/graduate/blog/data-analyst-skills/) include data mining/data warehouse, data modeling, R (https://www.northeastern.edu/graduate/blog/r-vs-excel/) or SAS, SQL (https://www.northeastern.edu/graduate/blog/sql-data-analyst/) , statistical analysis, database management & reporting, and data analysis.

Roles and Responsibilities

Data analysts are often responsible for designing and maintaining data systems and databases, using statistical tools to interpret data sets, and preparing reports that effectively communicate (https://www.northeastern.edu/graduate/blog/communicating-with-data/) trends, patterns, and predictions based on relevant findings.

Working in Data Science

Data scientists, on the other hand, estimate the unknown by asking questions, writing algorithms, and building statistical models. The main difference between a data analyst and a data scientist is heavy coding. Data scientists can arrange undefined sets of data using multiple tools (https://www.datascienceweekly.org/articles/what-tools-do-employers-want-data-scientists-to-know) at the same time, and build their own automation systems and frameworks.

Typical Background

Drew Conway (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) , data science expert and founder of Alluvium, describes a data scientist as someone who has mathematical and statistical knowledge, hacking skills, and substantive expertise. As such, many data scientists hold degrees such as a master’s in data science (https://www.northeastern.edu/graduate/program/master-of-science-in-data-science-5256/) .

Skills and Tools

These include machine learning, software development, Hadoop, Java, data mining/data warehouse, data analysis, python, and object-oriented programming

Roles and Responsibilities

Data scientists are typically tasked with designing data modeling processes, as well as creating algorithms and predictive models to extract the information needed by an organization to solve complex problems.

Choosing Between a Data Analytics and Data Science Career

Once you have a firm understanding of the differences between data analytics and data science—and can identify what each career entails—you can start evaluating which path is the right fit for you. To determine which path is best aligned with your personal and professional goals, you should consider three key factors.

1. Consider your personal background.

While data analysts and data scientists are similar in many ways, their differences are rooted in their professional and educational backgrounds, says Martin Schedlbauer (https://www.khoury.northeastern.edu/people/martin-schedlbauer/) , associate teaching professor and director of the information, data science and data analytics programs (https://www.northeastern.edu/graduate/analytics/) within Northeastern University’s Khoury College of Computer Sciences (https://www.khoury.northeastern.edu/) , including the Master of Science in Computer Science (https://www.northeastern.edu/graduate/program/master-of-science-in-computer-science-boston-5238/) and Master of Science in Data Science (https://www.northeastern.edu/graduate/program/master-of-science-in-data-science-5256/) .

As mentioned above, data analysts examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions (https://www.northeastern.edu/graduate/blog/data-driven-decision-making/) . To align their education with these tasks, analysts typically pursue an undergraduate degree in a science, technology, engineering, or math (STEM) major, and sometimes even an advanced degree in analytics (https://www.northeastern.edu/graduate/programs) or a related field.. They also seek out experience in math, science, programming (https://www.northeastern.edu/graduate/blog/most-popular-programming-languages/) , databases, modeling, and predictive analytics (https://www.northeastern.edu/graduate/blog/predictive-analytics/) .

Hi,
Data science is an interdisciplinary subject where you learn Machine learning, Statistics, AI and IT as part of your curriculum. It also includes data analysis. Some top colleges that provide BSc in Data Science are Jain university, NSHM, Sri Sri university, Navrachana university etc. You can check the details in the official website of respective colleges. Also there is an online BSc course offered by IIT Madras in programming and data science. You can check the details of courses and colleges from the following article too.

https://www.careers360.com/university/symbiosis-skills-and-open-university-pune/bsc-data-science-course
Data analysis is essential in both private and public sectors hence the job opportunities are high in now a days. So all the best.