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Phonics Group Of Institutions BCA in Data Science

BCA in Data Science at Phonics Group Of Institutions - Course, Fees, Admission, Seats, Syllabus

location Roorkee ( Uttarakhand )
location Estd In: 2008
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BCA in Data Science at Phonics Group Of Institutions - Course, Fees, Admission, Seats, Syllabus
location
Roorkee ( Uttarakhand )
location
Estd In: 2008
Last Updated on February 20, 2024 6:27 PM
The Phonics Group of Institutions is known for its commitment to higher education providing a wide range of programs that cater to the evolving needs of the industry. One such program is the Bachelor of Computer Applications (BCA) in Data Science, which is designed to equip students with the skills and knowledge required to excel in the growing field of data science. This specialized BCA program combines understanding with practical expertise ensuring that graduates are not only well versed in data science concepts but also capable of applying them to real world problems. Situated on a campus equipped with cutting edge facilities the Phonics Group of Institutions offers an environment that encourages learning, innovation and personal development. The BCA in Data Science curriculum covers subjects including programming languages, data analysis, machine learning and big data technologies. With a faculty composed of professionals and academics students can expect a comprehensive and up to date education. This program is particularly suited for individuals aspiring to build a career in the dynamic field of data science by providing them with a strong foundation and essential tools, for success.
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Phonics Group Of Institutions BCA in Data Science Highlights 2024

| **Highlighted Information** | **Details** | | | | | Duration of the Course | Typically spans over a period of 3 years | | Academic Level | Undergraduate | | Tuition Fees | Subject to variation (Please refer to the website for the most recent information) | | Mode of Study | Full time | | Type of Institution | Private | Kindly note that specific details such as tuition fees can be subject, to change so it is advisable to verify the latest and accurate information directly from the official website of Phonics Group of Institutions or contact them directly.

Phonics Group Of Institutions BCA in Data Science Syllabus 2024

Creating a detailed semester-wise syllabus for the BCA in Data Science course at Phonics Group Of Institutions in a single line of HTML without access to the specific syllabus details is challenging. However, I can provide you with a template that you can customize with the actual course details. Since the syllabus specifics are not provided, I'll include generic placeholders for you to replace with real data.
SemesterSubjects
Semester 1Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies
Semester 2Statistics for Data Science, Python Programming, Database Management Systems, Organizational Behavior, Elective I
Semester 3Data Analysis and Visualization, Machine Learning I, Java Programming, Operating Systems, Elective II
Semester 4Advanced Machine Learning, Big Data Analytics, Web Technologies, Professional Ethics, Elective III
Semester 5Deep Learning, Cloud Computing for Data Science, Project Work I, Elective IV, Elective V
Semester 6Capstone Project, Industry Internship, Elective VI, Elective VII
This table template includes a header row with two columns: "Semester" and "Subjects". Each subsequent row represents a semester with a list of generic subjects that you might find in a BCA in Data Science course. Please replace the placeholder subjects with the actual subjects offered in each semester at the Phonics Group Of Institutions. Remember, the actual subjects, their sequence, and the electives offered can vary significantly between institutions, so it's important to consult the official syllabus or academic advisor for accurate information.

Phonics Group Of Institutions BCA in Data Science Important Topics 2024

ModuleImportant Topics
Introduction to Data ScienceBasics of Data Science, Data Types, Data Science Lifecycle
Programming for Data SciencePython/R Programming, Data Structures, Algorithms
Mathematics for Data ScienceLinear Algebra, Calculus, Statistics & Probability
Data ManagementDatabase Management, SQL, NoSQL, Data Warehousing
Data AnalysisData Preprocessing, Exploratory Data Analysis, Descriptive Statistics
Machine LearningSupervised Learning, Unsupervised Learning, Model Evaluation
Deep LearningNeural Networks, CNN, RNN, TensorFlow, Keras
Data VisualizationMatplotlib, Seaborn, Tableau, Data Storytelling
Big Data TechnologiesHadoop, Spark, Big Data Analytics
Projects and Case StudiesReal-world Projects, Industry Case Studies

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