Bachelor of Data Science & Data Engineering Program in Bangalore
As data becomes the key to running a business in the Covid-19 era, companies are in great demand for data scientists. Despite this huge demand, it has always been difficult for data scientists to find jobs as companies only look for professionals with an advanced skill set. Data scientists lack these skills, again creating a severe talent shortage in the industry. And so it has become imperative for analyst professionals to upgrade through certifications to stay relevant in the industry.
It turns out that online courses are very beneficial for data scientists to improve their skill sets. However, certification is a form of actual verification and verification of those learned skills. Obtaining certificates verified by well-known educational institutions and companies can provide a competitive advantage for data scientists' resumes by recognizing their achievements and demonstrating their talents. The completion of a course can only be proved by obtaining certification, which requires them to pass an exam.
Bachelor of Data Science & Data Engineering Program in Bangalore - Srinivas University
Although many educational technology companies such as Coursera, Simplilearn, Great Learning, etc. offer many online courses - some for free - many of them do not ultimately offer certificates. Many of them also do not allow registrars to invest in training time and induce self-study, making them the preferred choice among working data science professionals.
While these accreditations are of little value to experienced data scientists who have long been involved in the field, they have a significant impact on the resumes of newcomers and individuals affected by the ongoing recession. Being one of the most paid jobs today, companies have become very important before hiring data scientists. Therefore, these certifications serve as proof of the skills you can hire.
Bachelor of Data Science & Data Engineering Program in Bangalore - Srinivas University
Certificates from leading organizations or businesses are widely recognized and appreciated. Earning certifications in data science links academic knowledge with actual industry knowledge. When you complete certification, you:
Show potential employers your desire to continue your studies and professional development. Stay on top of current industry practices to give you a head start when hiring. Understand the basics and best practices for industry-specific tools and software
Have special certifications as desired by the employer on your resume.
Data scientists can get accreditation from professional organizations or companies that focus on a particular computer platform. Members of the specialized data science network Operations Research and Institute of Business Sciences (INFORMS) can receive discounts on certain training. Most training programs are conducted online and some are hosted on face-to-face test sites.
Bachelor of Data Science & Data Engineering Program in Bangalore - Srinivas University
The B.Sc Data Science and Data Engineering at Srinivas University is offered with the aim of providing students with broad subject areas within an interdisciplinary subject using the fundamental concepts of statistics. , data analysis, automatic and related topic learning to understand and analyze various problems and phenomena related to a large data set. Also includes various theories, techniques, and tools of mathematics, statistics, computing, and information technology.
The Bachelor of Data Science and Data Engineering is a three-year undergraduate program spread over six semesters. The goal is to gain hands-on experience in applied statistics, data mining, predictive modeling, big data analytics, machine learning, and data visualization. produces agile and skilled professionals to understand, collect, extract, analyze and predict given data set to solve critical problems through real-time data analysis. After completing this course you will be able to handle large data sets and you will become an expert in programming, machine learning, data processing, data visualization, software engineering, visualization data, etc. Major programming languages include Java, SQL, Python, R, SAS, Scala, Julia, MATLAB, as well as knowledge of Tableau, Hadoop, and others.