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Charotar University Of Science And Technology BCA in Data Analytics

BCA in Data Analytics at Charotar University Of Science And Technology - Course, Fees, Admission, Seats, Syllabus

location Anand ( Gujarat )
location Estd In: 2009
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BCA in Data Analytics at Charotar University Of Science And Technology - Course, Fees, Admission, Seats, Syllabus
location
Anand ( Gujarat )
location
Estd In: 2009
Last Updated on February 20, 2024 4:50 PM
The Data Analytics program offered by Charotar University of Science and Technology (CHARUSAT) as part of their Bachelor of Computer Applications (BCA) is an educational initiative. It aims to equip students with the skills and knowledge to thrive in the dynamic world of data analytics. CHARUSAT, located in the state of Gujarat has established itself as a renowned institution committed to delivering excellence in education, research and innovation. The BCA program specifically focuses on data analytics covering a range of subjects such as statistical analysis, data mining, predictive modeling and big data technologies. By combining concepts with practical experiences students are prepared to tackle real world data challenges effectively. The curriculum is continuously updated to keep up with the advancements and trends in the field. CHARUSAT provides state of the art facilities and fosters an environment to learning. Students have access to laboratories experienced faculty members, as well as opportunities for internships and projects in collaboration with industry partners. This ensures that graduates from the BCA Data Analytics program possess both proficiency and industry ready skills that allow them to make valuable contributions not only within the field but also, beyond it.
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Charotar University Of Science And Technology BCA in Data Analytics Highlights 2024

Course DurationCourse LevelFeeMode of StudyInstitute Type
3 YearsUndergraduateVariesFull-timeUniversity

Charotar University Of Science And Technology BCA in Data Analytics Syllabus 2024

Semester 1Semester 2Semester 3Semester 4Semester 5Semester 6
Introduction to ProgrammingObject-Oriented ProgrammingData StructuresDatabase Management SystemsData MiningBig Data Analytics
Mathematics for Computer ScienceDiscrete MathematicsStatistics for Data ScienceOperating SystemsMachine LearningCapstone Project
Communication SkillsSystem Analysis and DesignWeb TechnologiesSoftware EngineeringVisualization TechniquesInternship
This table is a simplified example and does not reflect the actual syllabus of the BCA in Data Analytics program at Charotar University Of Science And Technology. For detailed and accurate information, please refer to the official university resources.

Charotar University Of Science And Technology BCA in Data Analytics Important Topics 2024

As of my last update in April 2023, I don't have access to the specific and current syllabus details of the BCA in Data Analytics specialization at Charotar University of Science and Technology (CHARUSAT). However, I can provide you with a general overview of important topics that are typically covered in a BCA Data Analytics specialization based on standard academic curricula. For the most accurate and up-to-date information, please refer to the official CHARUSAT website or contact the university directly. Here's a simplified single-line HTML format representation of what such a curriculum might include, based on common topics in Data Analytics specializations:
Core TopicsTools & TechnologiesApplied Areas
Statistics for Data SciencePython/R ProgrammingBusiness Intelligence
Database Management SystemsSQL/NoSQL DatabasesFinancial Analytics
Data Mining and Predictive ModelingTableau/Power BIHealthcare Analytics
Big Data AnalyticsHadoop/SparkE-commerce Analytics
Machine LearningTensorFlow/Scikit-learnSocial Media Analytics
Data VisualizationExcel/Google SheetsSupply Chain Analytics
This table includes a broad overview of core topics, tools & technologies, and applied areas relevant to a BCA in Data Analytics specialization. Keep in mind that specific course offerings, tools, and application areas can vary by institution and over time as new technologies emerge.

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