SMART PROFESSIONAL DATA ANALYTICS USING POWER BI

SMART PROFESSIONAL DATA ANALYTICS USING POWER BI

 FINANCIAL ANALYTIC IN EXCEL The program enables virtual learning in simulated environment, so that you can complete the course curriculum with classroom method as well as virtual training.

Courses:

 FINANCIAL ANALYTIC IN EXCEL, you get process-based training to understand corporate processes in the shared services, in a simulated environment. This will help you understand the documentation processes to complete the corporate

What you learn?
FINANCIAL ANALYTIC IN EXCEL

6 Months

  •  FINANCIAL ANALYTIC IN EXCEL

    • MS ACCSESS
    • SQL SERVER DATA BASE using MS Excel
    • POWER BI
    • PROJECT
Eligibility:
  • Undergraduates/ graduates/ working professionals/ engineers

General Questions

Power BI is a powerful business analytics tool developed by Microsoft this enables users to examine and visualize data from multiple sources. It helps businesses make data-driven decisions by transforming raw data into interactive and visually appealing reports and dashboards. With Power BI, users can connect to multiple data sources, clean and transform data, and share insights through interactive visualizations.

Some key features of Power BI include:

  • Data Connectivity: Integrates with various data sources like Excel, SQL Server, cloud databases, and web APIs.
  • Data Transformation: Includes built-in tools for cleaning, transforming, and shaping data (Power Query).
  • Interactive Visualizations: Provides a wide range of charts, graphs, and maps for data visualization.
  • Custom Dashboards & Reports: Allows users to create tailored reports and dashboards for specific business needs.
  • Advanced Analytics: Supports advanced analytics with built-in DAX (Data Analysis Expressions) and Power Query for complex calculations.
  • Collaboration and Sharing: Easy sharing of insights and reports across teams and departments.

  • To start using Power BI for data analytics, follow these steps:
    1. Download Power BI Desktop: Install Power BI Desktop (free version) on your computer.
    2. Connect to Data Sources: Import data from Excel, SQL Server, cloud services, or other sources.
    3. Transform Data: Use Power Query to clean and prepare the data for analysis.
    4. Create Visualizations: Build interactive charts, graphs, and tables to represent your data.
    5. Publish & Share: Publish your reports to the Power BI service for sharing and collaboration.

Power BI offers several benefits:

  • Ease of Use: User-friendly interface that doesn’t require advanced technical skills.
  • Cost-Effective: Affordable pricing plans compared to other business intelligence tools.
  • Real-Time Analytics: Provides real-time insights with automatic data refreshes.
  • Integration with Microsoft Tools: Seamlessly integrates with other Microsoft products like Excel, SharePoint, and Teams.
  • Scalability: Suitable for both small businesses and large enterprises with scalable features.
  • Interactive Dashboards: Allows stakeholders to explore data dynamically for better insights.

Yes, Power BI can handle large datasets, but performance may vary depending on the size and complexity of the data. It uses a highly optimized in-memory engine (VertiPaq) to process large amounts of data quickly. However, for very large datasets, you may need to use Power BI Premium for better performance, or consider using DirectQuery to connect to live data sources without loading everything into memory.

  • Yes, Power BI offers strong security features to protect business data. It includes features such as:
    • Role-Based Access Control (RBAC): Control access to specific reports and data based on user roles.
    • Data Encryption: Data is encrypted both at rest and in transit using industry-standard protocols.
    • Azure Active Directory Integration: Supports single sign-on (SSO) and multi-factor authentication (MFA).
    • Compliance: Power BI is compliant with various industry standards and regulations, such as GDPR and HIPAA.

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