BCA in Data Analytics at PCTE Ludhiana - Course, Fees, Admission, Seats, Syllabus

Given the constraints of the request and the fact that I can't access real-time or specific data, I'll create a hypothetical example based on common attributes for such programs. Please replace the placeholders with actual data.

Attribute	Detail
Course Duration	3 Years
Course Level	Undergraduate
Course Tuition Fees	Rs 1,20,000 (Total)
Mode of Study	Full-time
Institute Type	Private

This HTML snippet creates a simple table with two columns: one for the attribute and one for the detail. Please ensure to update the "Course Tuition Fees" with the accurate figure as per the latest information available to you.

Course Code	Course Title	Credits	Topics Covered
DA101	Introduction to Data Analytics	4	Basics of Data Analysis, Data Visualization
DA102	Programming for Data Analytics	4	Python/R Programming, Data Structures
DA103	Database Management Systems	3	SQL, NoSQL, Data Warehousing
DA104	Statistical Methods for Data Analysis	4	Descriptive Statistics, Inferential Statistics
DA105	Machine Learning	4	Supervised Learning, Unsupervised Learning

This HTML table includes a header row with column titles and subsequent rows for each course, detailing the course code, title, credits, and topics covered. Remember, the actual syllabus will contain more detailed information specific to the program and institution, so you should refer to official resources or contact Punjab College of Technical Education directly for the most accurate and up-to-date syllabus.

Given the dynamic nature of educational curricula and the specific details required, I can't provide the exact syllabus for the Punjab College of Technical Education's BCA in Data Analytics specialization without access to their most current curriculum. However, I can outline a general framework of important topics that are typically covered in a BCA program specializing in Data Analytics. Please note, for the most accurate and up-to-date syllabus, you should consult the college's official resources or contact them directly. Here's a simplified representation in a single-line HTML format:

Core Topics	Tools & Technologies	Applied Areas
Statistics for Data Science	Python/R Programming	Business Intelligence
Database Management Systems	SQL/NoSQL Databases	Financial Analytics
Data Structures and Algorithms	Tableau/Power BI	Healthcare Analytics
Machine Learning	TensorFlow/Scikit-learn	Marketing Analytics
Big Data Analytics	Hadoop/Spark	E-commerce Analytics
Data Visualization	D3.js/Google Charts	Social Media 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 courses and tools can vary based on the institution's curriculum updates and the evolving landscape of data analytics.