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.

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