COURSE DESCRIPTION
The Bachelor of Computer Applications (Data Analytics) is a specialized undergraduate degree program that focuses on providing students with the knowledge and skills necessary to harness the power of data for informed decision-making and problem-solving. This program combines the principles of computer science, mathematics, and statistics with a strong emphasis on data analytics techniques, tools, and technologies.
CERTIFICATION
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.
ELIGIBILITY
Candidate should have passed in 10 + 2 / Diploma of any stream / Any Equivalent Certificate to PUC
BENEFITS
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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.
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Versatility:
Data analytics skills are transferable across various industries and domains, including finance, healthcare, marketing, and more.
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Data-Driven Decision Making:
You'll be equipped to make data-driven decisions, helping organizations improve efficiency, identify trends, and enhance their overall performance.
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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.
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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.
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Salary Potential:
Data analysts often receive competitive salaries due to their specialized skills and value in driving business insights.
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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
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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.
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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.
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Statistical Concepts:
Understanding statistical methods is essential in data analytics. You may study topics like probability, hypothesis testing, regression analysis, and other statistical techniques.
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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.
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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.
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Database Management Systems:
You'll likely learn about database concepts and how to work with relational database management systems (RDBMS) like MySQL or PostgreSQL.
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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.
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Real-world Projects:
Many programs incorporate hands-on projects where you'll work with real datasets and solve practical problems to gain practical experience.
LEARNING RESOURCES
- E-book
- Self Assessment
- Study Guide
- Discussion Forum
- Interactive Videos
- Web Resources
