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Era University BCA in Data Science

BCA in Data Science at Era University - Course, Fees, Admission, Seats, Syllabus

location Lucknow ( Uttar Pradesh )
location Estd In: 2016
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BCA in Data Science at Era University - Course, Fees, Admission, Seats, Syllabus
location
Lucknow ( Uttar Pradesh )
location
Estd In: 2016
Last Updated on February 15, 2024 4:29 PM
Era University, a respected institution offers a cutting edge Bachelor of Computer Applications (BCA) program in Data Science. This crafted course is tailored for ambitious individuals who aspire to become skilled data scientists. The program provides students with the expertise and knowledge to thrive in the fast paced world of data science. By combining foundations with practical applications students will delve into various subjects such as data analysis, machine learning and big data technologies. Alongside their studies students will have hands on experiences working on real world projects to ensure they are fully prepared for the industry upon graduation. The program is taught by a faculty comprising professionals and esteemed academics making it an excellent choice for those seeking a successful career, in data science.
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Era University BCA in Data Science Highlights 2024

Course DurationFeesMode of StudyCourse LevelInstitute Type
3 YearsVariesFull-timeUndergraduateUniversity

Era University BCA in Data Science Syllabus 2024

Era University offers a Bachelor of Computer Applications (BCA) program in Data Science that aims to equip students with the skills and knowledge to thrive in the ever changing field of data science. While the specific curriculum may vary from year to year there are key topics that students pursuing a BCA in Data Science are likely to cover. Here is an overview of these topics; 1. Introduction to Data Science; This includes understanding the fundamentals of data science, its applications and the various stages involved in the data science lifecycle. 2. Programming for Data Science; Proficiency in programming languages like Python and R is essential for data manipulation, analysis and machine learning. 3. Mathematics for Data Science; Topics such as linear algebra, calculus and statistics play a role in comprehending and implementing data science algorithms. 4. Data Structures and Algorithms; Knowledge of data structures (such as arrays, lists, trees, graphs) and algorithms is crucial for efficient handling and analysis of data. 5. Database Management Systems (DBMS); Students will gain an understanding of database principles SQL, for querying data well as NoSQL databases for managing large scale datasets. 6.In this course you will learn about topics related to data warehousing and data mining including techniques for storing and processing data extracting valuable insights through data mining methods. Additionally we will explore data technologies like Hadoop and Spark that enable us to handle large volumes of data efficiently. We will delve into the fundamentals of machine learning covering both unsupervised learning algorithms, as well as neural networks and deep learning. Furthermore you will gain an understanding of how to visualize and interpret data using tools such as Tableau, Power BI and matplotlib in Python. We will also discuss the considerations surrounding data science practices and privacy concerns including relevant laws and regulations for protecting sensitive information. Moreover we'll introduce cloud computing platforms like AWS, Azure and Google Cloud along with their services for storing data while providing computational power, for analytics purposes. Finally you'll have the opportunity to apply your knowledge by working on a capstone project where you'll collaborate with industry partners to solve real world problems in the field of data science. "Soft skills and effective communication are aspects to focus on when aiming for a successful career in data science. It is important to develop problem solving abilities, critical thinking skills and the ability to work well in teams. These topics form a foundation, for students pursuing a BCA degree."

Era University BCA in Data Science Important Topics 2024

As of my last update in April 2023, I don't have access to the specific syllabus details of Era University's BCA in Data Science specialization. However, I can provide you with a general outline of important topics that are typically covered in a BCA Data Science specialization based on standard curricula. Please note that for the most accurate and up-to-date syllabus, you should consult Era University's official website or contact the university directly. Here's a simplified single-line HTML format representation of what such a curriculum might include:
Core TopicsTools & TechnologiesApplied Areas
Programming FundamentalsPython, RData Analysis
Statistics for Data ScienceSQL, NoSQLMachine Learning
Data Structures and AlgorithmsTableau, Power BIBig Data Technologies
Machine LearningTensorFlow, Scikit-learnArtificial Intelligence
Database Management SystemsHadoop, SparkCloud Computing for Data Science
Data VisualizationMatplotlib, SeabornNatural Language Processing
Big Data AnalyticsApache Kafka, Apache FlinkBusiness Intelligence
This table includes a mix of core topics, tools & technologies, and applied areas that are commonly part of a BCA in Data Science specialization. Remember, the actual syllabus may vary, and it's essential to refer to the specific course details provided by Era University.

Era University BCA Course FAQs

What is the Era University BCA in Data Science program?
The Era University BCA in Data Science is an undergraduate program designed to provide students with a comprehensive understanding of data science and its applications. It covers various aspects of data analysis, machine learning, big data technologies, and statistics, preparing students for careers in the rapidly growing field of data science.
What are the eligibility criteria for the BCA in Data Science at Era University?
The eligibility criteria for the BCA in Data Science at Era University typically include completion of 10+2 or equivalent examination from a recognized board with Mathematics as a subject. However, specific criteria may vary, so it's recommended to check the official university website or contact the admissions office for the most current information.
How can I apply for Era University BCA in Data Science admission?
To apply for Era University BCA in Data Science admission, candidates need to visit the official Era University website and navigate to the admissions section. From there, you can find the application form, fill it out with the required details, and submit it along with the necessary documents and application fee. It's important to check the website for any updates on the application process or deadlines.
What is the duration of the BCA in Data Science program at Era University?
The BCA in Data Science program at Era University is typically a 3-year undergraduate course, divided into six semesters. The program is designed to equip students with both theoretical knowledge and practical skills in data science.
What career opportunities are available after completing BCA in Data Science from Era University?
After completing the BCA in Data Science from Era University, graduates have a wide range of career opportunities available in sectors such as IT, banking, healthcare, e-commerce, and more. They can work in roles like Data Analyst, Data Scientist, Machine Learning Engineer, Business Analyst, and Big Data Engineer, among others.

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