Business Analytics & Intelligence

Course Description

An internship in Business Analytics & Intelligence involves gaining practical experience in using data analysis and business intelligence tools to extract valuable insights from data and support data-driven decision-making within an organization. Here are the basics of what you  learn during the internship:

What You’ll Learn From This Course

• Data Analysis Techniques: You’ll learn various data analysis methods, including descriptive statistics, inferential statistics, data visualization, and data cleaning. These techniques will help you understand and prepare data for further analysis.
• Business Intelligence Tools: You’ll work with popular business intelligence tools like Tableau, Power BI, QlikView, or others, which allow you to create interactive visualizations and dashboards for business stakeholders.
• Database Management: Understanding how to access, query, and manipulate data in databases (SQL databases, NoSQL databases) is crucial for effective data analysis.
• Data Visualization: You’ll learn how to create compelling visualizations to communicate insights effectively to non-technical stakeholders.
• Data Mining and Predictive Analytics: Depending on the complexity of projects, you might explore data mining techniques and predictive modeling to forecast trends and make data-driven predictions.
• Data Integration and Cleaning: Real-world data is often messy and requires data cleaning and integration. You’ll gain experience in handling and preparing data for analysis.
• Dashboard Development: Building interactive dashboards that provide real-time insights to business users will be a valuable skill to learn.
• Data Interpretation and Presentation: Interpreting analysis results and presenting them in a clear and understandable manner to business leaders will be an essential part of the internship.
• Understanding Business Requirements: You’ll learn how to gather and analyze business requirements to focus your analytics efforts on the most critical business problems.
• Collaboration and Communication: Working in a team environment and effectively communicating results and progress will be emphasized throughout the internship.
• Data Ethics and Privacy: You may be introduced to the ethical considerations surrounding data usage and privacy, especially when dealing with sensitive data.

Certification

Get industry-relevant certificates on successful completion of Internship Program