Course Overview
This comprehensive three-month course offers a deep dive into data analytics and business intelligence with a focus on hands-on learning using industry-standard tools such as Excel, SQL, Power BI, and Python. Participants will develop core competencies, progress to advanced techniques, and ultimately tackle real-world data projects for actionable insights.
The course begins with a solid foundation in data analytics principles, including descriptive, diagnostic, predictive, and prescriptive analytics. In the first month, learners gain proficiency in Excel for data manipulation, pivot tables, and dashboards, as well as an introduction to Power BI for creating interactive reports and visualizations.
Who is it for
This course is designed for a wide range of learners who want to build expertise in data analytics and business intelligence. It is particularly well-suited for:
- Aspiring Data Analysts who wish to break into the data analytics field with practical, in-demand skills.
- Business Professionals seeking to make data-driven decisions and improve business performance.
- IT and Database Administrators who want to enhance their data querying and analysis capabilities.
- Students and Graduates interested in gaining hands-on experience in data analysis for career advancement.
- Managers and Executives looking to understand and leverage data analytics for strategic insights.
- Small Business Owners aiming to analyze their business data for better growth and operations.
- Anyone interested in transitioning to a data-centric role or gaining a competitive edge in their career by mastering data analysis tools and techniques.
Key Features
- Gain expertise in Excel, Power BI, SQL, and Python.
- Build professional dashboards and perform data visualization.
- Develop SQL and Python skills for real-world data analysis.
- Work on industry-relevant projects to apply your knowledge.
Software’s Used
- Microsoft Excel
- Power BI
- SQL (Database)
- Python (Programming Language)
