B.Voc Course in Data Analytics

Data Analytics means carefully examining, cleaning, modeling and transferring of data to find important patterns. It helps us discover, understand, and communicate useful information from the data. The Data Analytics process is all about studying datasets to see trends and make smart decisions based on the information we obtain.

The Data Analytics B.Voc course offered by Glocal University spans three years and holds recognition and accreditation from esteemed organizations, including UGC, AICTE, AIU, and the Ministry of Education. This global acknowledgment and validation ensure the program's credibility. This degree program in Data Analytics is designed to equip students with various methods of analyzing data for better comprehension. It encompasses fundamental aspects such as describing data, deciphering ongoing trends, making predictions, and understanding the reasons behind occurrences. 

Benefits of Pursuing B.Voc in Data Analytics

• The B.Voc course in Data Analytics has received approvals from UGC, AICTE, and NSQF, establishing its global recognition and acceptance in both public and private IT sectors.
• The program offers flexibility through multiple entry and exit options, allowing students to obtain certifications such as diplomas, advanced diplomas, and degrees based on the length of their enrollment.
• The Data Analytics course at Glocal University provides students practical learning experiences along with theoretical knowledge. Through internships and real-world projects, students can apply what they've learned to real-world problems. This hands-on approach helps them enhance their skills using real data and tools used in the IT industry.
• Because almost every industry needs people who can work with data, there is a steady demand for data analysts worldwide. This high demand gives data analysts an advantage, leading to better pay.
• Since most of a data analyst's work is done on computers, they aren't limited to working in one place. This means they have the opportunity to find jobs all around the world.

Course Key Features

Subjects

Some of the important subjects included in the curriculum of Data Analytics course are listed below -

1. Introduction to Data Analytics
2. Statistics for Data Analytics
3. Data Mining
4. Machine Learning
5. Database Management
6. Data Warehousing
7. Big Data Analytics
8. Programming for Data Analytics
9. Data Ethics and Privacy
10. Time Series Analysis
11. Quantitative Methods
12. Data Governance

Admission Process

• If you have finished your 12th grade or hold a diploma in a related field, you are eligible for enrollment in the B.Voc course in Data Analytics at Glocal University. 
• To apply, you need to fill an application form, including personal information, contact details, academic qualifications, and work experience.
• Glocal University offers free counseling to guide students through the admission process. 
• After enrollment, a Document Verification process will take place. 
• If all criteria are met and you are deemed eligible, the next step is to make the course payment to secure your spot in the program.

Course Fees

The comprehensive course fee amounts to INR 1.5 lakhs. This sum is divided as follows:

• INR 50,000 per year (totaling 3 years) or,
• INR 25,000 per semester (totaling 6 semesters)

Eligibility Criteria

• Candidates who have obtained 50% or more marks in their 12th-grade from a recognized school board are eligible for the Data Analytics vocational degree program.
• Alternatively, individuals who have completed their 10th-grade and hold a relevant diploma are also eligible to apply.
• During the admission process, candidates from reserved categories are eligible for some relaxation in qualifying marks. 
• The minimum age requirement for applicants is 17 years.
• International students are encouraged to apply for enrollment in the program.

Career Opportunities

Also Read: Is B.Voc in Applied Computer Technology Your Path to Technological Expertise?

Top Hiring Companies

• Google
• Facebook
• Amazon
• Microsoft
• IBM
• Accenture
• Deloitte
• LinkedIn
• Netflix
• Uber
• Airbnb
• Tesla
• General Electric

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