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IPS Academy Indore BCA in Data Science

BCA in Data Science at IPS Academy Indore - Course, Fees, Admission, Seats, Syllabus

location Indore ( Madhya Pradesh )
location Estd In: 1994
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BCA in Data Science at IPS Academy Indore - Course, Fees, Admission, Seats, Syllabus
location
Indore ( Madhya Pradesh )
location
Estd In: 1994
Last Updated on February 15, 2024 3:30 PM
The Ips Academy Group Of Colleges is known for its BCA in Data Science program, which is designed to meet the growing need for skilled data science professionals in the digital era. This comprehensive course provides students with an understanding of data analysis, machine learning, big data technologies and statistical methods. It equips them with both skills and theoretical knowledge to succeed in the dynamic field of data science. The curriculum combines cutting edge technology with real world applications to ensure that graduates are proficient in the data science tools and possess critical thinking and problem solving abilities essential for tackling complex data challenges. The BCA in Data Science program at Ips Academy Group Of Colleges is renowned for its faculty, state of the art facilities and emphasis on project based learning. It is a choice for aspiring data scientists who want a solid education that prepares them for successful careers, across various industries.
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IPS Academy Indore BCA in Data Science Highlights 2024

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HighlightDetails
Course Duration3 Years
Course LevelUndergraduate
Course Tuition FeesRs. 1,20,000 (Approx.)
Mode of StudyFull Time
Institute TypePrivate
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IPS Academy Indore BCA in Data Science Important Topics 2024

### Ips Academy Group Of Colleges BCA in Data Science Important Topics
SemesterImportant Topics
Semester 1Introduction to Data Science, Programming Fundamentals using Python, Mathematics for Data Science
Semester 2Database Management Systems, Data Structures and Algorithms, Statistics for Data Science
Semester 3Machine Learning Basics, Data Preprocessing and Visualization, Linear Algebra for Data Science
Semester 4Advanced Machine Learning, Big Data Analytics, Web Technologies for Data Science
Semester 5Deep Learning, Natural Language Processing, Data Science Project Management
Semester 6Capstone Project, Ethics in Data Science, Cloud Computing for Data Science

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