• Training in data analytics, web analytics, and data visualization techniques.
• Learning statistical analysis methods and tools for data interpretation.
• Understanding web tracking technologies and data collection methods.
• Hands-on experience with data analysis tools and software.
• Developing skills in data mining, data modeling, and predictive analytics.
• Learning about database management and SQL.
• Project-based learning and industry internships.
• Career guidance and placement support.

• Gain practical skills in data analytics and web analytics, which are in high demand in various industries.
• Learn statistical analysis methods and tools for data interpretation.
• Develop proficiency in data mining, data modeling, and predictive analytics.
• Understand web tracking technologies and data collection methods used for web analytics.
• Acquire skills in data visualization and reporting.
• Explore career opportunities in data-driven decision making and business intelligence.
• Get hands-on experience through project-based learning and industry internships.
• Prepare for a range of careers in data analytics, web analytics, market research, and business intelligence.

After completing a B.Voc Data and Web Analytics, graduates can pursue various career paths in the field of data analytics, web analytics, and business intelligence. Some potential job roles include:

• Data Analyst
• Web Analyst
• Business Analyst
• Market Research Analyst
• Data Visualization Specialist
• Data Scientist
• Data Engineer
• Database Administrator
• Business Intelligence Analyst
• Data Consultant

The future scope for B.Voc Data and Web Analytics graduates is promising as organizations across various industries increasingly rely on data-driven insights for decision making. With the growing importance of data analytics, there is a high demand for professionals who can collect, analyze, and interpret data to drive business strategies. Graduates can find opportunities in sectors such as finance, marketing, e-commerce, healthcare, government, and consulting. They can work on projects involving data mining, predictive analytics, customer segmentation, market research, and optimization of digital marketing campaigns. Staying updated with emerging tools, techniques, and trends in data analytics and web analytics will be essential for career growth in this dynamic field.