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HLM Group of Institutions BCA in Data Analytics

BCA in Data Analytics at HLM Group of Institutions - Course, Fees, Admission, Seats, Syllabus

location Ghaziabad ( Uttar Pradesh )
location Estd In: 2009
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BCA in Data Analytics at HLM Group of Institutions - Course, Fees, Admission, Seats, Syllabus
location
Ghaziabad ( Uttar Pradesh )
location
Estd In: 2009

Table of Contents

HLM Group of Institutions BCA in Data Analytics Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 YearsUndergraduateVaries by YearFull TimePrivate

HLM Group of Institutions BCA in Data Analytics Syllabus 2024

SemesterSubjectsTopics
1Introduction to Data Analytics, Programming Fundamentals, Mathematics for Data ScienceBasics of Data Analytics, Python/R programming, Algebra, Calculus, Statistics
2Database Management Systems, Data Structures and Algorithms, Probability and StatisticsSQL/NoSQL databases, Algorithm complexity, Data types and operations, Probability distributions, Hypothesis testing
3Machine Learning, Big Data Analytics, Web TechnologiesSupervised and unsupervised learning, Hadoop and Spark, HTML/CSS/JavaScript
4Data Visualization, Advanced Database Management, Object-Oriented ProgrammingTableau/Power BI, Advanced SQL, Java/Python OOP concepts
5Deep Learning, Business Intelligence, Elective (choose one)Neural networks, BI tools and strategies, Elective topics based on current trends
6Capstone Project, Internship, Elective (choose one)Project work in real-world scenario, Professional experience, Advanced elective topics
This table is a simplified example and does not cover all subjects or topics. Electives and specific courses can vary widely between institutions and programs. Always refer to the official curriculum provided by the institution for the most accurate and detailed information.

HLM Group of Institutions BCA in Data Analytics Important Topics 2024

Important Topics of BCA in Data Analytics
Introduction to Data Analytics
Programming for Data Analytics
Database Management Systems
Data Warehousing and Data Mining
Big Data Technologies
Statistical Methods for Data Analysis
Machine Learning
Data Visualization Techniques
Cloud Computing for Data Analytics
Business Intelligence
Project Work / Internship

HLM Group of Institutions BCA Course FAQs

What are the eligibility criteria for BCA in Data Analytics at HLM Group of Institutions?
To be eligible for the BCA in Data Analytics program at HLM Group of Institutions, candidates must have completed their 10+2 or equivalent examination from a recognized board with Mathematics as a subject. A minimum aggregate score of 50% is typically required.
How much are the fees for the BCA in Data Analytics program at HLM Group of Institutions?
The fee structure for the BCA in Data Analytics program at HLM Group of Institutions is subject to periodic revision. Prospective students are advised to check the official website or contact the admissions office directly for the most current fee information.
What is the selection process for BCA in Data Analytics at HLM Group of Institutions?
The selection process for the BCA in Data Analytics program at HLM Group of Institutions typically involves a review of the applicant's academic records, performance in qualifying examinations, and any other criteria as specified by the institution. Some programs may also require a personal interview.
Is there a cut off mark for admission into the BCA in Data Analytics program at HLM Group of Institutions?
Yes, there is a cut off mark for admission into the BCA in Data Analytics program at HLM Group of Institutions. The specific cut off mark can vary each year depending on the applicant pool and the institution's admission criteria. Candidates are encouraged to check the official website or contact the admissions office for the latest information.
What are the placement opportunities for graduates of the BCA in Data Analytics program at HLM Group of Institutions?
Graduates of the BCA in Data Analytics program at HLM Group of Institutions have various placement opportunities in sectors such as IT, business analytics, data science, and more. The institution has a dedicated placement cell that works to connect students with potential employers and provides support for interviews and job search strategies.

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