The benefits of an online BCA in Data Analytics
- Growing Industry: Data analytics is a rapidly expanding field with increasing demand for skilled professionals. Completing a BCA in Data Analytics can make you eligible for a wide range of job opportunities.
- Versatility: Data analytics skills are transferable across various industries and domains, including finance, healthcare, marketing, and more.
- Data-Driven Decision Making: You'll be equipped to make data-driven decisions, helping organizations improve efficiency, identify trends, and enhance their overall performance.
- High Demand for Data Analysts: Skilled data analysts are in high demand, and the job market is competitive. A BCA in Data Analytics can give you a competitive edge in the job market.
- Continuous Learning and Growth: Data analytics is a field that continually evolves with advancements in technology and methodologies. Pursuing a BCA in Data Analytics can pave the way for continuous learning and professional growth.
- Salary Potential: Data analysts often receive competitive salaries due to their specialized skills and value in driving business insights.
- Contribution to Innovation: Data analytics plays a significant role in innovation and problem-solving across various industries, making it an exciting field to work in.
Learnings in BCA in Data Analytics
- Programming Fundamentals: You will learn programming languages such as Python, R, SQL, or others that are commonly used in data analytics to manipulate and analyze data.
- Data Manipulation and Visualization: You'll learn how to clean, preprocess, and transform raw data into a structured format. Data visualization techniques using tools like Tableau or matplotlib may also be covered.
- Statistical Concepts: Understanding statistical methods is essential in data analytics. You may study topics like probability, hypothesis testing, regression analysis, and other statistical techniques.
- Data Mining and Machine Learning: You may explore data mining techniques to discover patterns and insights from large datasets. Machine learning concepts and algorithms for predictive analysis might also be included.
- Big Data Technologies: Some programs might introduce you to big data technologies like Hadoop and Spark, which are commonly used for handling and processing large-scale datasets.
- Database Management Systems: You'll likely learn about database concepts and how to work with relational database management systems (RDBMS) like MySQL or PostgreSQL.
- Data Ethics and Privacy: Understanding the ethical implications of data analytics and the importance of data privacy and security is crucial in today's data-driven world.
- Real-world Projects: Many programs incorporate hands-on projects where you'll work with real datasets and solve practical problems to gain practical experience.
Successful completion of the program shall award the degree titled - Bachelor of Computer Applications (Data Analytics). The Visvesvaraya Technological University is UGC and NAAC accredited to offer the online Data Analytics Degree program. The degree holds the same merit as a regular one. It’s universally accepted and validated for further education and job prospects.
Candidate should have passed in 10 + 2 / Diploma of any stream / Any Equivalent Certificate to PUC
- Foundation Mathematics - I
- Fundamentals of Computers
- Programming in C
- Introduction to Operating system
- Programming in C Lab
- IT Lab
- Data Structures using C++
- Foundation Mathematics - II
- Professional Communication and Ethics
- Database Management System
- Database Management System Lab
- Data Structure Lab
- Python Programming
- Object Oriented Programming Using Java
- Analysis & Design of Algorithm
- Computer Networks
- Python Lab
- Java Lab
- Web Programming
- Introduction to Numpy and Pandas
- Software Engineering
- Introduction to Artificial Intelligence
- Web Lab
- Programming Lab Using Python - Numpy and Pandas
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- To be updated